Multi-Agent Systems for Robotic Autonomy with LLMs | Paper Citation Record

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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

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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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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

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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

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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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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