LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents | Paper Citation Record

Observation 15435a27-f84a-47a6-b7c1-a30a323f20e8 · outbound

This paper cites Position: Autonomous scientific discov- ery needs embodied experimentation with learnability.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Position: Autonomous scientific discov- ery needs embodied experimentation with learnability

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Observation 6fb9670b-3322-40be-b2a7-96abaed252f4 · outbound

This paper cites The automation of science.Science, 324(5923):85–89, 2009.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents The automation of science.Science, 324(5923):85–89, 2009

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Observation fda36193-872f-4118-95df-e5ca4fdb1bce · outbound

This paper cites Self-driving laboratory for accel- erated discovery of thin-film materials.Science Advances, 6(20):eaaz8867, 2020.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Self-driving laboratory for accel- erated discovery of thin-film materials.Science Advances, 6(20):eaaz8867, 2020

Reference 3

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Observation 2b3c371e-3b30-4527-8000-de80f1d1e873 · outbound

This paper cites A mobile robotic chemist.Nature, 583(7815):237–241, 2020.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents A mobile robotic chemist.Nature, 583(7815):237–241, 2020

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents An au- tonomouslaboratoryfortheacceleratedsynthe- sis of novel materials.Nature, 624(7990):86–91, 2023

Reference 5

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Observation a89608f1-ae48-4ef0-9058-f80c081e5d96 · outbound

This paper cites Organic synthesis in a modular robotic system driven by a chemical programming lan- guage.Science, 363(6423):eaav2211, 2019.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Organic synthesis in a modular robotic system driven by a chemical programming lan- guage.Science, 363(6423):eaav2211, 2019

Reference 6

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Observation f15c38c6-3e3d-41a0-864f-231da17b7a82 · outbound

This paper cites Roch, Florian Hase, Christoph Kreis- beck, Teresa Tamayo-Mendoza, Lars P.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Roch, Florian Hase, Christoph Kreis- beck, Teresa Tamayo-Mendoza, Lars P

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Observation 6b689ce2-529f-4d4c-8d74-749062547665 · outbound

This paper cites Autonomous chemical re- search with large language models.Nature, 624 (7992):570–578, 2023.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Autonomous chemical re- search with large language models.Nature, 624 (7992):570–578, 2023

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Observation 2b6a4179-7288-4492-b158-fcd36980a9a4 · outbound

This paper cites Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller

Reference 9

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Observation 3789005c-8d74-4afc-bf28-c822fadf8e5c · outbound

This paper cites BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments

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Observation f405639b-bbb0-4324-b4ea-a2a19d2a090d · outbound

This paper cites Large language models for chemistry robotics.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Large language models for chemistry robotics

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Observation 9571ad06-b77f-4cd3-ac83-a84843a9172a · outbound

This paper cites Rt-2: Vision-language-action mod- els transfer web knowledge to robotic control,.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Rt-2: Vision-language-action mod- els transfer web knowledge to robotic control,

Reference 12

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Observation 41b79a4b-07da-4c64-b540-df450138f710 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents OpenVLA: An Open-Source Vision-Language-Action Model

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Observation 202a87a1-9c0d-4840-b69a-06f6698f20f8 · outbound

This paper cites Roboagent: Generalization and efficiency in robot manipulation via seman- tic augmentations and action chunking.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Roboagent: Generalization and efficiency in robot manipulation via seman- tic augmentations and action chunking

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Observation 32d71871-e668-43a3-9468-1f671a11a00a · outbound

This paper cites Organa: A robotic assis- tant for automated chemistry experimentation and characterization.Matter, 8(2), 2025.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Organa: A robotic assis- tant for automated chemistry experimentation and characterization.Matter, 8(2), 2025

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Observation 6703c681-cfde-44c3-aa9c-08a507c4e680 · outbound

This paper cites LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories

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Observation f77847d7-98f5-4a9a-afdc-fb29ab8b3708 · outbound

This paper cites RoboCulture: A Robotics Platform for Automated Biological Experimentation.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents RoboCulture: A Robotics Platform for Automated Biological Experimentation

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Observation 86dbefd0-d6d8-4258-85a7-801150889e77 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023

Reference 18

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Observation b9ce0e3a-0112-4478-9757-7db1a8a2e6a2 · outbound

This paper cites Expel: Llm agents are experiential learners.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Expel: Llm agents are experiential learners

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Observation 3ff47376-6cf6-4d6c-9289-354cd165662a · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

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Observation 5f990df1-8b33-49c5-9925-b9ba736e3e83 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

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Observation e7f2b6d0-64cd-44ee-86cc-27324846bcdd · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

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Observation 1adf5b2f-adec-453b-8e3e-96a84ea41856 · outbound

This paper cites Code as policies: Language model programs for embodied control.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Code as policies: Language model programs for embodied control

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Observation 05a7f336-6b0a-4b6e-aa27-0d0bbd545c20 · outbound

This paper cites ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

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Observation 04d06bc1-da31-49d1-ab61-239cfa2f0953 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents PaLM-E: An Embodied Multimodal Language Model

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Observation 2c85c683-d06d-4f54-b1d6-f24731ada49c · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents RT-1: Robotics Transformer for Real-World Control at Scale

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Observation d16e9fda-ab04-4464-a128-ebec056abc8b · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration

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Observation a9902285-aed9-49f6-a4bf-1b4a29afb347 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

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Observation ac5fef5f-da92-4c29-884a-bddc9d6c2b7d · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Unresolved cited work

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Self-refine: Iterative refine- ment with self-feedback.Advances in neural in- formation processing systems, 36:46534–46594, 2023

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Observation caacf03b-0381-45fe-b834-f2d4c343f428 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Empowering large language model agents through action learning,

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Memp: Ex- ploring agent procedural memory

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Observation 2d52135a-4446-49ac-9668-4d51f0f42573 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

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Observation 84995284-9c1e-4b2d-a688-59373f8649cb · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents G-memory: Tracing hierarchical memory for multi-agent systems.Advances in Neural Information Pro- cessing Systems, 38:12988–13018, 2026

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Observation 88aec4bc-a4bb-492b-8201-2bc363235a0f · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Elite: Experiential learning and intent-aware transfer for self-improving embodied agents, 2026

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Observation 3a087109-ab57-4fba-a958-fd9cf618b2c2 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Roboclaw: An agentic framework for scalable long-horizon robotic tasks, 2026

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Observation 99d130fb-e33d-4010-9bf6-66101ae136c3 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents

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Observation 37f993d5-dd46-4032-bb88-0ec847c59161 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills

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Observation bb1d5c1d-dda0-4608-a1d0-976ed986b5a4 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Teachers Col- lege, Columbia University, New York, 1913

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Observation 4505216e-fe71-419a-b97e-ca21c08a61e5 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents

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Observation cb939754-a6ca-4f37-9bf8-bea017aa5d18 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Claude Sonnet 4.6 system card

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Observation fd7ffdbf-2e74-4848-ae9d-18ff063c42b0 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Qwen3.5: Towards native multi- modal agents

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Observation 3ce22816-2741-4fe7-bba1-f860ff403945 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Deepseek-v4: Towards highly effi- cient million-token context intelligence.arXiv preprint arXiv:2606.19348, 2026

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Observation 19314452-9546-45d7-aa49-e981d7a1bda5 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents React: Synergizing reasoning and acting in language models

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Observation 3ec7940b-a2c7-4c1c-9f54-1bcbac4337d1 · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents GPT-5 system card

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Observation b157332a-08ee-4752-a9ba-5c03e61e8c9f · outbound

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LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

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Observation 6465e1b8-3d1d-4bea-9b96-a76182a1bb92 · outbound

This paper cites Empowering Large Language Model Agents through Action Learning.

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Empowering Large Language Model Agents through Action Learning

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