Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:01:22.239996Z
Paper Citation Record · LEDGER
Multi-Agent Systems for Robotic Autonomy with LLMs
As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.05762.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy38
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4a980df2-2863-4200-9e16-773adb690e9f · outbound
This paper cites Improving language understanding by gen- erative pre-training.
Multi-Agent Systems for Robotic Autonomy with LLMs Improving language understanding by gen- erative pre-training
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:21.983206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c500c5fb-0e14-4a13-9539-64c40eec862e · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Multi-Agent Systems for Robotic Autonomy with LLMs LLaMA: Open and Efficient Foundation Language Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:21.988262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0df0a760-19e4-4556-85b6-933126c0412f · outbound
This paper cites Constitutional AI: Harmlessness from AI Feedback.
Multi-Agent Systems for Robotic Autonomy with LLMs Constitutional AI: Harmlessness from AI Feedback
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:21.992869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa5c5fb3-e552-458f-a0e1-97a54735683f · outbound
This paper cites Gpt-driven gestures: Leveraging large language mod- els to generate expressive robot motion for enhanced human- robot interaction.IEEE Robotics and Automation Letters,.
Multi-Agent Systems for Robotic Autonomy with LLMs Gpt-driven gestures: Leveraging large language mod- els to generate expressive robot motion for enhanced human- robot interaction.IEEE Robotics and Automation Letters,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.129784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 30dd0300-bb55-49cc-98fa-92d2424339ff · outbound
This paper cites Natural multimodal fusion-based human–robot in- teraction: Application with voice and deictic posture via large language model.IEEE Robotics & Automation Maga- zine, 2025.
Multi-Agent Systems for Robotic Autonomy with LLMs Natural multimodal fusion-based human–robot in- teraction: Application with voice and deictic posture via large language model.IEEE Robotics & Automation Maga- zine, 2025
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.112782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 04914a62-9c1c-463a-8210-6b2a411cd794 · outbound
This paper cites Llm for generating simulation inputs to evaluate path planning algo- rithms.
Multi-Agent Systems for Robotic Autonomy with LLMs Llm for generating simulation inputs to evaluate path planning algo- rithms
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.095121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation de5304c9-2712-4ab2-b31c-b8a4e42dc0ef · outbound
This paper cites Sensingagent: Advancing vehicular sens- ing systems for spatiotemporal cognitive intelligence.IEEE Transactions on Intelligent Vehicles, 2024.
Multi-Agent Systems for Robotic Autonomy with LLMs Sensingagent: Advancing vehicular sens- ing systems for spatiotemporal cognitive intelligence.IEEE Transactions on Intelligent Vehicles, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.078820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5f053fa8-9533-494a-95a3-2182f9cb3dcb · outbound
This paper cites an unresolved cited work.
Multi-Agent Systems for Robotic Autonomy with LLMs Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:01:23.062029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3f2094f8-1aa2-4e36-9c16-2224fd8d4b81 · outbound
This paper cites A dual-agent collaboration framework based on llms for nursing robots to perform bi- manual coordination tasks.IEEE Robotics and Automation Letters, 2025.
Multi-Agent Systems for Robotic Autonomy with LLMs A dual-agent collaboration framework based on llms for nursing robots to perform bi- manual coordination tasks.IEEE Robotics and Automation Letters, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.046167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 12936145-ced0-42a6-9517-c34757748ec2 · outbound
This paper cites Human-level control through deep reinforcement learn- ing.nature, 518(7540):529–533, 2015.
Multi-Agent Systems for Robotic Autonomy with LLMs Human-level control through deep reinforcement learn- ing.nature, 518(7540):529–533, 2015
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.029687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dc61c333-8478-4ef0-8713-02aa558b2af3 · outbound
This paper cites Deep learning, reinforcement learning, and world models.Neural Networks, 152:267–275, 2022.
Multi-Agent Systems for Robotic Autonomy with LLMs Deep learning, reinforcement learning, and world models.Neural Networks, 152:267–275, 2022
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:23.012911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92343c39-288b-4557-a54a-28a110bb5495 · outbound
This paper cites an unresolved cited work.
Multi-Agent Systems for Robotic Autonomy with LLMs Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:01:22.997238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7f91db0c-178d-49a7-a0ff-39279814d720 · outbound
This paper cites Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning- based real-time distribution planning.Nature Machine In- telligence, 4(5):480–493, 2022.
Multi-Agent Systems for Robotic Autonomy with LLMs Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning- based real-time distribution planning.Nature Machine In- telligence, 4(5):480–493, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.981861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82ce89b7-be30-41db-9683-064b8da1481d · outbound
This paper cites Robotic motion planning based on deep reinforce- ment learning and artificial neural networks.IEEE Transac- tions on Automation Science and Engineering, 2024.
Multi-Agent Systems for Robotic Autonomy with LLMs Robotic motion planning based on deep reinforce- ment learning and artificial neural networks.IEEE Transac- tions on Automation Science and Engineering, 2024
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.965784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 46592f50-2225-4738-9cd3-08f58a409122 · outbound
This paper cites Path generation with rein- forcement learning for surgical robot control.
Multi-Agent Systems for Robotic Autonomy with LLMs Path generation with rein- forcement learning for surgical robot control
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.949315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 04649ad0-dad2-44b0-8346-59e9407bbe56 · outbound
This paper cites Llm- augmented symbolic rl with landmark-based task decompo- sition.
Multi-Agent Systems for Robotic Autonomy with LLMs Llm- augmented symbolic rl with landmark-based task decompo- sition
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.932643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9035df4a-9b3a-49fb-a4cd-be236f90db58 · outbound
This paper cites Guiding pretraining in reinforcement learning with large language models.
Multi-Agent Systems for Robotic Autonomy with LLMs Guiding pretraining in reinforcement learning with large language models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.915497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 384d43c0-3ab5-4d3d-9b53-10db4a56fe94 · outbound
This paper cites Tactile perception: a biomimetic whisker-based method for clinical gastrointesti- nal diseases screening.npj Robotics, 1(1):3, 2023.
Multi-Agent Systems for Robotic Autonomy with LLMs Tactile perception: a biomimetic whisker-based method for clinical gastrointesti- nal diseases screening.npj Robotics, 1(1):3, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.899890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c1029291-a790-4935-a451-27da2bf59c4a · outbound
This paper cites Language-guided pattern formation for swarm robotics with multi-agent reinforcement learning.
Multi-Agent Systems for Robotic Autonomy with LLMs Language-guided pattern formation for swarm robotics with multi-agent reinforcement learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.881963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5afbee97-3ea5-4d4a-8490-6d9d271b4e52 · outbound
This paper cites Talker: A task-activated language model based knowledge-extension reasoning system.IEEE Robotics and Automation Letters, 2024.
Multi-Agent Systems for Robotic Autonomy with LLMs Talker: A task-activated language model based knowledge-extension reasoning system.IEEE Robotics and Automation Letters, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.865082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7eb3af65-fcd5-41ed-adad-9aa263f5a219 · outbound
This paper cites An ai-driven bionic whisker system assisting for clinical gas- trointestinal disease screening.
Multi-Agent Systems for Robotic Autonomy with LLMs An ai-driven bionic whisker system assisting for clinical gas- trointestinal disease screening
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.846829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 07e83d2e-e325-416d-a77d-36ace88a7013 · outbound
This paper cites An intelligent robotic endoscope control system based on fusing natural language processing and vision models.
Multi-Agent Systems for Robotic Autonomy with LLMs An intelligent robotic endoscope control system based on fusing natural language processing and vision models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.830636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d06c8fe7-a241-4679-8563-78ebd2ff777e · outbound
This paper cites Natural language controlled real-time object recognition framework for household robot.
Multi-Agent Systems for Robotic Autonomy with LLMs Natural language controlled real-time object recognition framework for household robot
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.812737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8c0d6a9c-379a-42a9-9b03-f6014b6ffc33 · outbound
This paper cites PhD thesis, Brac University, 2024.
Multi-Agent Systems for Robotic Autonomy with LLMs PhD thesis, Brac University, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.794113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d912ff9f-b1fc-4bb7-ae9a-1c02bba972f7 · outbound
This paper cites Tod4ir: A humanised task-oriented dialogue system for industrial robots.IEEE Access, 10:91631–91649,.
Multi-Agent Systems for Robotic Autonomy with LLMs Tod4ir: A humanised task-oriented dialogue system for industrial robots.IEEE Access, 10:91631–91649,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.776189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ef4a5868-c1d0-4e83-a30c-f7c3f57f0152 · outbound
This paper cites Gpt-4v(ision) for robotics: Multimodal task planning from human demonstration.IEEE Robotics and Automation Letters, 9(11):10567–10574, 2024.
Multi-Agent Systems for Robotic Autonomy with LLMs Gpt-4v(ision) for robotics: Multimodal task planning from human demonstration.IEEE Robotics and Automation Letters, 9(11):10567–10574, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.760074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2402c81-d9e2-4d84-b444-5b277544ae0d · outbound
This paper cites an unresolved cited work.
Multi-Agent Systems for Robotic Autonomy with LLMs Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:01:22.741864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 667e79ca-970c-48a2-9393-6d6845a14e92 · outbound
This paper cites A review of multi-agent mobile robot systems applications.International Journal of Elec- trical and Computer Engineering, 12(4):3517–3529, 2022.
Multi-Agent Systems for Robotic Autonomy with LLMs A review of multi-agent mobile robot systems applications.International Journal of Elec- trical and Computer Engineering, 12(4):3517–3529, 2022
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.724442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ee2d88b0-fee5-457b-974d-5f1c304c1bf3 · outbound
This paper cites Palm-e: An embodied multimodal language model.
Multi-Agent Systems for Robotic Autonomy with LLMs Palm-e: An embodied multimodal language model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.126611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c0edfea-5264-4805-b541-b097085eef88 · outbound
This paper cites Are we close to realizing self-programming robots that overcome the unexpected? In2025 IEEE/SICE International Symposium on System Integration (SII), pages 368–374.
Multi-Agent Systems for Robotic Autonomy with LLMs Are we close to realizing self-programming robots that overcome the unexpected? In2025 IEEE/SICE International Symposium on System Integration (SII), pages 368–374
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.695459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 51c8a379-8d2a-49b7-a57a-c65184307235 · outbound
This paper cites Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models.
Multi-Agent Systems for Robotic Autonomy with LLMs Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.136943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5fe7662-c1a2-44ff-95a3-3abb5407a9e9 · outbound
This paper cites TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models.
Multi-Agent Systems for Robotic Autonomy with LLMs TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.142345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd785897-e62b-40e0-a83f-35db378a765b · outbound
This paper cites Autotamp: Autoregressive task and motion planning with llms as translators and check- ers.
Multi-Agent Systems for Robotic Autonomy with LLMs Autotamp: Autoregressive task and motion planning with llms as translators and check- ers
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.678034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fe67d52b-5eb4-4662-911e-dbe61ceb8b3e · outbound
This paper cites Isr-llm: Iterative self-refined large language model for long-horizon sequential task planning.
Multi-Agent Systems for Robotic Autonomy with LLMs Isr-llm: Iterative self-refined large language model for long-horizon sequential task planning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.661530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0ee43206-f6a8-4a9a-85e5-a48f9e73a1b5 · outbound
This paper cites Roco: Dialec- tic multi-robot collaboration with large language models.
Multi-Agent Systems for Robotic Autonomy with LLMs Roco: Dialec- tic multi-robot collaboration with large language models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.645392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 910fb232-9feb-4bee-89d1-4d169cb8125b · outbound
This paper cites an unresolved cited work.
Multi-Agent Systems for Robotic Autonomy with LLMs Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:01:22.628670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a904df8-87bd-4046-846f-860166fa335c · outbound
This paper cites Under- standing large-language model (llm)-powered human-robot interaction.
Multi-Agent Systems for Robotic Autonomy with LLMs Under- standing large-language model (llm)-powered human-robot interaction
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.612330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2b08d2f4-44f0-4ea3-bd23-fd98c107962f · outbound
This paper cites Large Language Models for Multi-Robot Systems: A Survey.
Multi-Agent Systems for Robotic Autonomy with LLMs Large Language Models for Multi-Robot Systems: A Survey
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.170424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19606cc8-3a6d-437a-9f55-e153700202f3 · outbound
This paper cites Double-dqn based path smoothing and tracking control method for robotic vehi- cle navigation.Computers and Electronics in Agriculture, 166:104985, 2019.
Multi-Agent Systems for Robotic Autonomy with LLMs Double-dqn based path smoothing and tracking control method for robotic vehi- cle navigation.Computers and Electronics in Agriculture, 166:104985, 2019
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.596291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 71793aae-282b-41cb-affd-ac7296f30af8 · outbound
This paper cites Deep reinforcement learning for decentralized multi-robot control: A dqn approach to robust- ness and information integration.
Multi-Agent Systems for Robotic Autonomy with LLMs Deep reinforcement learning for decentralized multi-robot control: A dqn approach to robust- ness and information integration
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.579005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ecd3fa70-e88a-4210-8156-f5f991fb14c6 · outbound
This paper cites A3c based motion learning for an autonomous mobile robot in crowds.
Multi-Agent Systems for Robotic Autonomy with LLMs A3c based motion learning for an autonomous mobile robot in crowds
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.561333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2d6dc3fe-915a-42da-82b2-9bb503898273 · outbound
This paper cites Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation.
Multi-Agent Systems for Robotic Autonomy with LLMs Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.189055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de300181-19ad-4f48-b6c6-aeaebd1f092a · outbound
This paper cites Obstacle avoidance control method for robotic assembly process based on lagrange ppo.
Multi-Agent Systems for Robotic Autonomy with LLMs Obstacle avoidance control method for robotic assembly process based on lagrange ppo
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.545134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c4f94e0-6419-4080-a92e-80a47ed6ad92 · outbound
This paper cites Towards hardware accelerated reinforcement learning for application-specific robotic control.
Multi-Agent Systems for Robotic Autonomy with LLMs Towards hardware accelerated reinforcement learning for application-specific robotic control
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.529395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8c6a6417-c3c7-4d21-af77-756af8ad2625 · outbound
This paper cites Rac-sac: An improved actor-critic algorithm for continuous multi-task manipulation on robot arm control.
Multi-Agent Systems for Robotic Autonomy with LLMs Rac-sac: An improved actor-critic algorithm for continuous multi-task manipulation on robot arm control
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.512596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b79bc185-a161-474c-abc2-71084a1e57c5 · outbound
This paper cites YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning.
Multi-Agent Systems for Robotic Autonomy with LLMs YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.209358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f6f96b-061f-4bde-a22a-f1a410b891a4 · outbound
This paper cites Mpc-based admittance control for robotic manipulators.
Multi-Agent Systems for Robotic Autonomy with LLMs Mpc-based admittance control for robotic manipulators
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.494989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f45bb6a7-f24b-439b-b0f7-035d52fe1c34 · outbound
This paper cites Mpc for robot manipulators with integral sliding modes generation.IEEE/ASME Transactions on Mechatronics, 22(3):1299–1307, 2017.
Multi-Agent Systems for Robotic Autonomy with LLMs Mpc for robot manipulators with integral sliding modes generation.IEEE/ASME Transactions on Mechatronics, 22(3):1299–1307, 2017
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.477911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 71c33e1c-33c7-4994-98a6-5340e0799149 · outbound
This paper cites Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space.
Multi-Agent Systems for Robotic Autonomy with LLMs Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:01:22.224684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a3abdb-3ef1-4efa-8fdf-7040615eca5d · outbound
This paper cites Pedro Aguiar.
Multi-Agent Systems for Robotic Autonomy with LLMs Pedro Aguiar
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.460756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a5767c88-3604-474a-9b98-3b87c8777db3 · outbound
This paper cites Automated trajec- tory generation for robotic surgical tasks.
Multi-Agent Systems for Robotic Autonomy with LLMs Automated trajec- tory generation for robotic surgical tasks
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.443911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dd70043d-57cb-4bfd-a791-315c4a3da915 · outbound
This paper cites A step towards conditional autonomy-robotic appendectomy.IEEE Robotics and Au- tomation Letters, 8(5):2429–2436, 2023.
Multi-Agent Systems for Robotic Autonomy with LLMs A step towards conditional autonomy-robotic appendectomy.IEEE Robotics and Au- tomation Letters, 8(5):2429–2436, 2023
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:01:22.426812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.