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Paper Citation Record · LEDGER

Scalable Trajectory Generation for Whole-Body Mobile Manipulation

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2604.12565.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.12565 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:49:58.581752Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy45
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 197c0b1e-0767-4387-bfe8-15d452a57e7b · outbound

This paper cites Affordances from human videos as a versa- tile representation for robotics.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Affordances from human videos as a versa- tile representation for robotics

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 575d05bd-c313-44e6-9ef6-58d806fbc40e · outbound

This paper cites An optimization approach to planning for mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation An optimization approach to planning for mobile manipulation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.159310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 25562331-1851-40da-a77b-3cc7ebe00e68 · outbound

This paper cites Motion planning for mobile robots using inverse kinematics branching.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Motion planning for mobile robots using inverse kinematics branching

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.145536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:7de40e3629b6ddd58b93107aa0ad0c2b0050def66918ef6ec1e2cf6f289c5c35

Observation 5fcadfd1-22e1-421e-9eb5-567ea2795d5e · outbound

This paper cites Rt-1: Robotics transformer for real-world control at scale.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Rt-1: Robotics transformer for real-world control at scale

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.152713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:17a7af01b8891a8c06bb4c63c907cc0a96bb40afb67443de87dffcdcbe1e1ba5

Observation e59c81fb-617a-4b43-9d13-72e0896bec11 · outbound

This paper cites LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.090778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:dfc60fa7be417e4bb7037dc787740cd426f37b83487a566dc1d15e78e381ca0b

Observation 6326eb7a-6041-4521-946a-0720ebcbdccf · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.International Journal of Robotics Research (IJRR), 44(10-11):1684–1704.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Diffusion policy: Visuomotor policy learning via action dif- fusion.International Journal of Robotics Research (IJRR), 44(10-11):1684–1704

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.131589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:4ec936649eb3922e33d1dc89fc21bcc7d8789c22b3219b9a0e1466ae1c72dd9a

Observation 267db273-220d-468a-84d7-bc47da45f6a6 · outbound

This paper cites Toward affordance detection and ranking on novel ob- jects for real-world robotic manipulation.IEEE Robotics and Automation Letters (RA-L), 4(4):4070–4077.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Toward affordance detection and ranking on novel ob- jects for real-world robotic manipulation.IEEE Robotics and Automation Letters (RA-L), 4(4):4070–4077

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.156132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:39469c9796f872e8fd55b44239597b60ef28386b2dc1f0a772530c4da0127a25

Observation fca3db1f-e60c-4233-a31d-cf3aec0c2a85 · outbound

This paper cites Gapartmanip: a large-scale dataset for generalizable and actionable part ma- nipulation with material-agnostic articulated objects.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Gapartmanip: a large-scale dataset for generalizable and actionable part ma- nipulation with material-agnostic articulated objects

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.141551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:3b05731dae9b61d9f3eb4764cbff3a99880ad4f960d42da5752b5cfdca9ebd93

Observation 6e8b8cec-348e-489b-aa34-b195d96ef6e3 · outbound

This paper cites TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.079795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:32d126c32aaf3af86af150af2dd3ec832fd15390a9a849db9a7acfe581eb5765

Observation 1895870f-1949-462a-baf5-59db899757b1 · outbound

This paper cites Affordancenet: An end-to-end deep learning approach for object affordance detection.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Affordancenet: An end-to-end deep learning approach for object affordance detection

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.134757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:95cc3885db0ebeed4a9f58373ccf7b4ae506cf8223ed977133062dd8ccb04b44

Observation fb36309b-0470-4976-afb1-af46a28b45a7 · outbound

This paper cites Survey of imitation learning for robotic manipulation.International Journal of Intelligent Robotics and Applications, 3(4):362–369.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Survey of imitation learning for robotic manipulation.International Journal of Intelligent Robotics and Applications, 3(4):362–369

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.149415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:09ce8fa13cd002b23d59d4cefa4fcb8fc9f791f43d737777e02cd46619257139

Observation 1ef096aa-9c11-4708-a8de-51145abe78a6 · outbound

This paper cites Deep whole- body control: learning a unified policy for manipulation and locomotion.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Deep whole- body control: learning a unified policy for manipulation and locomotion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.121080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:39b05fc040f836e77ad4bf2e82e668c7aa7ff0fdccec1951e95c21cd227b0d36

Observation 7e9405bc-2bcf-4539-aa03-5123bda84bc6 · outbound

This paper cites Mobile aloha: Learning bimanual mobile manipulation using low- cost whole-body teleoperation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Mobile aloha: Learning bimanual mobile manipulation using low- cost whole-body teleoperation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.023186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:f76d42805a123dc6bb0e0da0ac12354373d10c891b9e06aef8ff87718b1c6eed

Observation f44878c8-1e08-4a89-a258-3c30817547bf · outbound

This paper cites Plan- ning with adaptive dimensionality for mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Plan- ning with adaptive dimensionality for mobile manipulation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.012522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:c3cd95f09f6f16ad69d598999850a7a56011d4e7a920c36f0b45849c3e2c13a9

Observation 849756b7-d985-4724-9ca9-91f261fc42e9 · outbound

This paper cites Learn- ing for a robot: Deep reinforcement learning, imitation learn- ing, transfer learning.Sensors, 21(4):1278.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Learn- ing for a robot: Deep reinforcement learning, imitation learn- ing, transfer learning.Sensors, 21(4):1278

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.019639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:e5c2f438ab8637d67f1298b697818bb97be374261cc025e1219627295c45aa78

Observation e3363dc5-d229-460d-a8c9-42da7ac339f0 · outbound

This paper cites Pulling open doors and drawers: Coordinating an omni-directional base and a com- pliant arm with equilibrium point control.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Pulling open doors and drawers: Coordinating an omni-directional base and a com- pliant arm with equilibrium point control

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.031487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:377e78143193ec80d1dce437be5d9f5290b50c5fe633bf4a549c0cca87600f41

Observation 23dd5dd8-3ef9-4283-a36d-05910fe3e65b · outbound

This paper cites Comparison of basic visual servoing methods.Trans- actions on Mechatronics (TMECH), 16(5):967–983.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Comparison of basic visual servoing methods.Trans- actions on Mechatronics (TMECH), 16(5):967–983

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.046293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:de6661c8fde6aa53d6f4848775f8915fcdc849a77207aa3a50ae90572b13a43d

Observation 14cf3b95-b2a9-400e-94bd-2310fb4090b8 · outbound

This paper cites Bc-z: Zero-shot task generalization with robotic imitation learning.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Bc-z: Zero-shot task generalization with robotic imitation learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.074659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:1ac90c631be46c62c0728ce1f547d82ad2530e3f86da9ba27f719a65bb4d9e71

Observation 2ee9f0f1-3ccd-4404-985a-538732d596c4 · outbound

This paper cites Behavior robot suite: Streamlining real- world whole-body manipulation for everyday household ac- tivities.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Behavior robot suite: Streamlining real- world whole-body manipulation for everyday household ac- tivities

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.117912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:ce347b69c64e5fbaf39f94bd2afb6a4c90bf7e2d836a2a685c7c15842715489e

Observation ea866378-3ae1-4f32-bcb8-4cd6b92a9e88 · outbound

This paper cites Consolidating kinematic models to promote coordinated mobile manipulations.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Consolidating kinematic models to promote coordinated mobile manipulations

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.078200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:50ffb34d3e768c88cd030a4787542082b0ccdc8453c89080ed0d242b8dbce100

Observation ca3b8501-6d60-4b83-acce-e9fcdfc0f311 · outbound

This paper cites Efficient task plan- ning for mobile manipulation: a virtual kinematic chain per- spective.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Efficient task plan- ning for mobile manipulation: a virtual kinematic chain per- spective

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.065630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:79cc6ecc9c44ad0e16d80a36f9e6095b83ca778311cd2104e0f4573461912b56

Observation ba5ce91e-ce16-48bf-bb72-747b6a32b1c4 · outbound

This paper cites Integration of robot and scene kinematics for sequential mobile manipula- tion planning.Transactions on Robotics (T-RO).

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Integration of robot and scene kinematics for sequential mobile manipula- tion planning.Transactions on Robotics (T-RO)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.089033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:4b4f5a136cc0e0fce1e8c56384e328c3b0778f9e2dbbd5d2071f24cd5cc34760

Observation f2b9b206-1aa8-4a20-bdc2-125ad1c8f027 · outbound

This paper cites An adaptive 9 control approach for opening doors and drawers under uncer- tainties.Transactions on Robotics (T-RO), 32(1):161–175.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation An adaptive 9 control approach for opening doors and drawers under uncer- tainties.Transactions on Robotics (T-RO), 32(1):161–175

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.128174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:c7bdf7e42567ad92ea32349b1e0ddf9cd6e625e32e5c09291ac7e094740ae472

Observation efbf9162-9479-47f0-acd9-d1fb1c74a2b2 · outbound

This paper cites Mobile manipulation: The robotic assis- tant.Robotics and Autonomous Systems, 26(2-3):175–183.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Mobile manipulation: The robotic assis- tant.Robotics and Autonomous Systems, 26(2-3):175–183

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.096009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:8bce4b6e2b07103c118d4c3a835726622978c48868a925926566a20170ad3070

Observation d51bb448-1d2f-42f1-b8e3-233cc2acc6d0 · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:24:31.084211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:7a86c528018af2f1c314225e9f5edff357284316763ad3bc1b81646dd93076c6

Observation 5e83d303-cb79-4620-9d32-9eb1e197d549 · outbound

This paper cites Robohive: A unified framework for robot learn- ing.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Robohive: A unified framework for robot learn- ing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.085374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:dcc1b8d5a228b375f1161bee63298735db65dc26b16eadaaf97ff3aaf2d384f4

Observation 5e235222-da24-480c-93c2-57baa8ef1874 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.100711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:4f768493b5304ab6bde93fc7134304761a8bf627590462cfd73774ecc01e1b8f

Observation f115d908-7bd9-4a5c-96f8-c99da9c58cd1 · outbound

This paper cites Momagen: Gener- ating demonstrations under soft and hard constraints for multi-step bimanual mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Momagen: Gener- ating demonstrations under soft and hard constraints for multi-step bimanual mobile manipulation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.071934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:f46141b3fb9464b730b45e9db71c6e9ed843980870895b9c5d5f6294d2b5e475

Observation 42634525-311c-4772-b99a-238d78f24945 · outbound

This paper cites Struc- tured world models from human videos.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Struc- tured world models from human videos

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:02.995338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:42ce3bb47518461ab9c5bf7ed85fe5bad158eb84a96e06b2f7f49d45960cabe7

Observation 906def8d-d1e3-451e-8f59-526652904074 · outbound

This paper cites Conq hose manipula- tion dataset, v1.15.0.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Conq hose manipula- tion dataset, v1.15.0

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.107174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:46f7a69679d6d2026041e561df1db25b3bfe64969699477db01cca4a6665882a

Observation 882c4daf-cd30-4a09-b634-faa04ad10f69 · outbound

This paper cites Articulated object interaction in unknown scenes with whole-body mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Articulated object interaction in unknown scenes with whole-body mobile manipulation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.053474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:1d38dcf2cf7377b54dfaf8812b2ee9f83cf3bdc6ef8bb8a00c3b6101c75af205

Observation bd7dc9e8-1d94-4574-a17d-6f01483b26f7 · outbound

This paper cites Ao-grasp: Articulated object grasp generation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Ao-grasp: Articulated object grasp generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.103755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:fd07b965cf892f5f67bc6bfa9bcd751e3bbe2c4170abe15ccbb7349fbe451d60

Observation 4d2faa8e-3293-4aad-ba32-97d8a0548e0f · outbound

This paper cites The surprising effec- tiveness of representation learning for visual imitation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation The surprising effec- tiveness of representation learning for visual imitation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.113972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:d690615d7d1f2d48469ec5380afd9dee421d704d7e5813383f2a15c75fd4dea5

Observation 73d14811-7c75-46c7-8371-395766ce22e9 · outbound

This paper cites In- finigen indoors: Photorealistic indoor scenes using procedu- ral generation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation In- finigen indoors: Photorealistic indoor scenes using procedu- ral generation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.124620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:32b804aa062e1cd6c431d571fb6aa43f4845ef78824bd2ae7ea54ca3283f1f56

Observation 76124a83-a550-4aca-896f-f53d3c72eb8b · outbound

This paper cites Learning agent-aware affordances for closed-loop interaction with articulated ob- jects.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Learning agent-aware affordances for closed-loop interaction with articulated ob- jects

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.058669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:45824eec5ad7d340545a2897651fe78498ce2fec65d48bc546aa208781a8b54d

Observation f5f6afd1-0280-44b4-9af5-6ce78ef7c87e · outbound

This paper cites On Bringing Robots Home.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation On Bringing Robots Home

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.052937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:9ea4b7d64c226ca3e523ec53e98cd9894fb9df4cff87132ce4b735e9a27d95b0

Observation da48413a-e5a1-4603-adfc-3f1071a7ed55 · outbound

This paper cites Maniskill-hab: A benchmark for low-level manipulation in home rearrange- ment tasks.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Maniskill-hab: A benchmark for low-level manipulation in home rearrange- ment tasks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.092557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:f9df6521c8415775b57d77db2491cb3844c8900945ebf7dd89af8d5359e273a9

Observation f65e19da-9fe0-4eda-97b6-c1e1d5e62ec3 · outbound

This paper cites Versatile multicontact planning and control for legged loco- manipulation.Science Robotics, 8(81):eadg5014.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Versatile multicontact planning and control for legged loco- manipulation.Science Robotics, 8(81):eadg5014

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.035230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:17f2c074d81d94b64771ce3781bc9cc3a185b26924d6aaf4644a46059f4718fd

Observation e762305d-6c33-4a94-a150-f41eb4094db1 · outbound

This paper cites Door opening and traversal with an industrial cartesian impedance controlled mobile robot.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Door opening and traversal with an industrial cartesian impedance controlled mobile robot

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.042185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:7593e54ea317d9ea202851d46ca201ae5ef279f7f0165f2a99e5fcc803d6d357

Observation 92c8f513-c560-410e-a5de-5717c5ba9aa7 · outbound

This paper cites Fully autonomous real-world reinforcement learning with applications to mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Fully autonomous real-world reinforcement learning with applications to mobile manipulation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.004824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:f58f5b0c437e279e01a5dca1dde0454e0a16946b0d8bc6cb09d3bca832ff7856

Observation 48533cf9-0689-4f04-a9f3-7c896a909947 · outbound

This paper cites A review of robot control with visual servoing.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation A review of robot control with visual servoing

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.081700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:868dcd172a31762607cb724dc8adc1edc512af631cb1bee92ca9ce569d75ea27

Observation 241ad913-903c-405f-9921-a9fb96fd6d35 · outbound

This paper cites Curobo: Parallelized collision-free robot mo- tion generation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Curobo: Parallelized collision-free robot mo- tion generation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.110441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:67a06b7d011217907e42f48490d0a87f29aa920fbfc83cc557552576ff0f2209

Observation cc85c56b-07d4-4b67-86ef-d7fb61c04cfe · outbound

This paper cites Habitat 2.0: training home assistants to rearrange their habitat.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Habitat 2.0: training home assistants to rearrange their habitat

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.005118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:88a1830b602388211e2db3d28209f13227658b6086e8ad3f4e1260d03c9b5752

Observation 5159bbdc-3de2-4462-975f-0959c946c8c3 · outbound

This paper cites Tidybot: Person- alized robot assistance with large language models.Au- tonomous Robots, 47(8):1087–1102.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Tidybot: Person- alized robot assistance with large language models.Au- tonomous Robots, 47(8):1087–1102

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.062209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:8e645ae089a59d79e55f258629faf07423d83aab905548b9c92eb5a26a2eed4a

Observation 1bfa8f8a-5511-4198-9398-fc46ee7b1fd3 · outbound

This paper cites A teleoperation interface for loco-manipulation control of mobile collaborative robotic as- sistant.IEEE Robotics and Automation Letters (RA-L), 4(4): 3593–3600.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation A teleoperation interface for loco-manipulation control of mobile collaborative robotic as- sistant.IEEE Robotics and Automation Letters (RA-L), 4(4): 3593–3600

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.016207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:56ddf6614351e965e72a33101bcc8c523c0d270b3ef887ce3a6e03448cb2437e

Observation f9b74bdc-ea1f-4ea3-abe3-9ecad237bbe8 · outbound

This paper cites Relmogen: Integrat- ing motion generation in reinforcement learning for mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Relmogen: Integrat- ing motion generation in reinforcement learning for mobile manipulation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.038787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:f254f4ad28cc3bca4523246f4be904a8d51cd6d26acfb131ad8762dd6e013c32

Observation c56fedad-5579-43a0-95a3-e0726051dbda · outbound

This paper cites Sapien: A simulated part-based interactive 10 environment.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Sapien: A simulated part-based interactive 10 environment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.069105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:5c26e63a37ce6d9f8dbf08ab466085fd2f8b3c93b7dda006c7f1ffdac634d52a

Observation 18e2101f-8117-443e-aa25-ea2ec7a3a42a · outbound

This paper cites Moma-force: Visual-force imitation for real-world mobile manipulation.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation Moma-force: Visual-force imitation for real-world mobile manipulation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.028209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:347cc7a6dd19d6799168d656f4b4a92faf7641f93bdf987a789dad61613a2013

Observation 89933201-38d2-4156-a40a-a52b73e81f80 · outbound

This paper cites 3d diffusion policy: Gener- alizable visuomotor policy learning via simple 3d represen- tations.

Scalable Trajectory Generation for Whole-Body Mobile Manipulation 3d diffusion policy: Gener- alizable visuomotor policy learning via simple 3d represen- tations

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.050467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:bf6b397b932782f90c8c3f7d8c7f5fb8db5c6d1f2708894365b0a08daad729dc

Observation ef3558ab-e959-4fca-a8e8-5976fa6117e2 · outbound

This paper cites M3bench: Bench- marking whole-body motion generation for mobile manipu- lation in 3d scenes.IEEE Robotics and Automation Letters (RA-L).

Scalable Trajectory Generation for Whole-Body Mobile Manipulation M3bench: Bench- marking whole-body motion generation for mobile manipu- lation in 3d scenes.IEEE Robotics and Automation Letters (RA-L)

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:32:03.009133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:49:58.581752Z digest=sha256:62ea150d5f25890ab4435efca5b4d33bac34d778ee04e03e7d5372f275c7ac30

Pith citing papers

No inbound Pith citation observations are available.