mlsanityData to 7 Oct 2026

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

arXiv 2401.06949 ↗First posted 13 Jan 2024cs.RO cs.AIcited by 60

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Cited by 22 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry. Traditional lab automation infrastructure faces challenges adapting to new experiments. To address this, we introduce ORGANA, an assistive robotic system that automates diverse chemistry experiments using decision-making and perception tools. It makes decisions with chemists in the loop to control robots and lab devices. ORGANA interacts with chemists using Large Language Models (LLMs) to derive experiment goals, handle disambiguation, and provide experiment logs. ORGANA plans and executes complex tasks with visual feedback, while supporting scheduling and parallel task execution. We demonstrate ORGANA's capabilities in solubility, pH measurement, recrystallization, and electrochemistry experiments. In electrochemistry, it executes a 19-step plan in parallel to characterize quinone derivatives for flow batteries. Our user study shows ORGANA reduces frustration and physical demand by over 50%, with users saving an average of 80.3% of their time when using it.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). Builds on 29 of its 96 references that are in the map. First posted on arXiv 13 Jan 2024.

Builds on

29 of 96 references.

References · 29

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2023Segment Anythingcited by 8,158
  5. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
  6. 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
  7. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  8. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,306
  9. 2022Code as Policies: Language Model Programs for Embodied Controlcited by 1,172
  10. 2018Open3D: A Modern Library for 3D Data Processingcited by 717
  11. 2019Object Detection in 20 Years: A Surveycited by 528
  12. 2023LLM+P: Empowering Large Language Models with Optimal Planning Proficiencycited by 496
17 more
  1. 2022Tutel: Adaptive Mixture-of-Experts at Scalecited by 199
  2. 2018Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Taskscited by 150
  3. 2018PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planningcited by 147
  4. 2023Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Promptingcited by 45
  5. 2021Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objectscited by 39
  6. 2024RePLan: Robotic Replanning with Perception and Language Modelscited by 39
  7. 2023Teleoperation of Humanoid Robots: A Surveycited by 32
  8. 2023Robotic Perception of Transparent Objects: A Reviewcited by 28
  9. 2022Learning Efficient Abstract Planning Models that Choose What to Predictcited by 17
  10. 2023MVTrans: Multi-View Perception of Transparent Objectscited by 14
  11. 2021Learning to Search in Task and Motion Planning with Streamscited by 9
  12. 2022ARChemist: Autonomous Robotic Chemistry System Architecturecited by 9
  13. 2022Representation, learning, and planning algorithms for geometric task and motion planningcited by 8
  14. 2023Touch if it's transparent! ACTOR: Active Tactile-based Category-Level Transparent Object Reconstructioncited by 7
  15. 2021Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systemscited by 5
  16. 2023Towards a Modular Architecture for Science Factoriescited by 5
  17. 2022Policy-Guided Lazy Search with Feedback for Task and Motion Planningcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 10; 2025: 25; 2026: 25.

60 papers.

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  1. 2024A Review of Large Language Models and Autonomous Agents in Chemistrycited by 96
  2. 2025Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directionscited by 74
  3. 2025From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discoverycited by 74
  4. 2024Efficient Evolutionary Search Over Chemical Space with Large Language Modelscited by 59
  5. 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasurescited by 54
  6. 2024Risks of AI Scientists: Prioritizing Safeguarding Over Autonomycited by 49
  7. 2025ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoningcited by 41
  8. 2024Are large language models superhuman chemists?cited by 34
  9. 2024Probing the limitations of multimodal language models for chemistry and materials researchcited by 31
  10. 2024Agents for self-driving laboratories applied to quantum computingcited by 18
  11. 2026Self-Improvements in Modern Agentic Systems: A Surveycited by 17
  12. 2025AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentationcited by 13
38 more
  1. 2024From Generalist to Specialist: A Survey of Large Language Models for Chemistrycited by 11
  2. 2024VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilitiescited by 10
  3. 2024Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictionscited by 9
  4. 202534 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discoverycited by 9
  5. 2025Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluatorcited by 9
  6. 2025RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentationcited by 9
  7. 2025A Survey of AI Scientistscited by 9
  8. 2026QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understandingcited by 9
  9. 2026AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discoverycited by 9
  10. 2024Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistrycited by 8
  11. 2025ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Modelscited by 7
  12. 2025Advancing the Scientific Method with Large Language Models: From Hypothesis to Discoverycited by 7
  13. 2026El Agente Quntur: A research collaborator agent for quantum chemistrycited by 7
  14. 2026Agentic AI Scientists Are Not Built For Autonomous Scientific Discoverycited by 7
  15. 2025BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experimentscited by 6
  16. 2026Autonomous Research Agents: A Survey of AI Scientists and the Verification Gapcited by 6
  17. 2025Scaling Laws in Scientific Discovery with AI and Robot Scientistscited by 5
  18. 2026El Agente Estructural: An Artificially Intelligent Molecular Editorcited by 5
  19. 2026Toward Full Autonomous Laboratory Instrumentation Control with Large Language Modelscited by 5
  20. 2025An AI-native experimental laboratory for autonomous biomolecular engineeringcited by 4
  21. 2025Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loopcited by 4
  22. 2025A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratoriescited by 3
  23. 2025Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extractioncited by 3
  24. 2025QMBench: A Research Level Benchmark for Quantum Materials Researchcited by 3
  25. 2026Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agentscited by 3
  26. 2025Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Researchcited by 2
  27. 2025A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunitiescited by 2
  28. 2025State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Livingcited by 2
  29. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
  30. 2026S1-NexusAgent: a Self-Evolving Agent Framework for Multidisciplinary Scientific Researchcited by 2
  31. 2026El Agente Forjador: Task-Driven Agent Generation for Quantum Simulationcited by 2
  32. 2026LabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agentscited by 2
  33. 2025Active Inference AI Systems for Scientific Discoverycited by 1
  34. 2025Large Language Models Transform Organic Synthesis From Reaction Prediction to Automationcited by 1
  35. 2026A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systemscited by 1
  36. 2026EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutionscited by 1
  37. 2026One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attributioncited by 1
  38. 2026OmniScientist: An Omni-Modal Omni-Discipline AI Scientistcited by 1

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