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The intersection of LLMs (Large Language Models) and UAV (Unoccupied Aerial Vehicles) technology represents a promising field of research with the potential to enhance UAV capabilities significantly.
A. Phadke and A. Medrano, “Drone2Drone: A search and rescue framework for finding lost UAV swarm agents,” Texas A&M University-Corpus Christi, Symposium for Student Innovation, Research, and Creative Activities 2023, Poster 2023 2023. [Online]. Available: https://hdl.handle.net/1969.6/97196
1969
Earlier work this paper cites.
E. Rohmer, S. P. N. Singh, and M. Freese, “CoppeliaSim (formerly V-REP): a Versatile and Scalable Robot Simulation Framework,” presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems., Tokyo, Japan., 2013. http://doi.org/10.1109/IROS.2013.6696520
2013
Earlier work this paper cites.
D. D. Woods, “Four concepts for resilience and the implications for the future of resilience engineering,” Reliability Engineering & System Safety
2015
Earlier work this paper cites.
P. S. Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Ioannis Moscholios, “A Compilation of UAV Applications for Precision Agriculture,” Computer Networks
2020
Earlier work this paper cites.
C. Kerr, R. Jaradat, and N. U. Ibne Hossain, “Battlefield Mapping by an Unmanned Aerial Vehicle Swarm: Applied Systems Engineering Processes and Architectural Considerations From System of Systems,” IEEE Access
2020
Earlier work this paper cites.
Z. Wei and X. Zhao, “Multi-UAVs Cooperative Reconnaissance Task Allocation Under Heterogeneous Target Values,” IEEE Access
2022
Earlier work this paper cites.
A. Phadke and F. A. Medrano, “Examining application-specific resiliency implementations in UAV swarm scenarios,” Intelligence & Robotics
2023
Earlier work this paper cites.
J. Kang, K. Kim, H. Lee, and J.-H. Kim, “Lyapunov Optimization-Based Online Positioning in UAV-Assisted Emergency Communications,” IEEE Access
2023
Cited alongside, same era.
H. Liu, Y. Zhu, K. Kato, I. Kondo, T. Aoyama, and Y. Hasegawa, “LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks,” 2023, doi:https://10.48550/arXiv.2305.07716
2023
Cited alongside, same era.
A. Lykov and D. Tsetserukou, “LLM-BRAIn: AI-driven Fast Generation of Robot Behaviour Tree based on Large Language Model,” 2023, http://doi.org/https://doi.org/10.48550/arXiv.2305.19352
2023
Cited alongside, same era.
A. Palnitkar, R. Kapu, X. Lin, C. Liu, N. Karapetyan, and Y. Aloimonos, “ChatSim: Underwater Simulation with Natural Language Prompting,” presented at the OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, 2023. http://doi.org/10.23919/oceans52994.2023.10337406
2023
Cited alongside, same era.
E. Latif, “3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation,” 2024, http://doi.org/https://doi.org/10.48550/arXiv.2403.18778
2024
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K. Mahadevan et al., “Generative Expressive Robot Behaviors using Large Language Models,” presented at the Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024. http://doi.org/10.1145/3610977.3634999
2024
Closest in time.
Y. Mu et al., “RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis,” 2024, http://doi.org/https://doi.org/10.48550/arXiv.2402.16117
2024
Closest in time.
L. Nwankwo and E. Rueckert, “The Conversation is the Command: Interacting with Real-World Autonomous Robots Through Natural Language,” presented at the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024. http://doi.org/10.1145/3610978.3640723
2024
Closest in time.
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B. Piggott et al., “Net-GPT: A LLM-Empowered Man-in-the-Middle Chatbot for Unmanned Aerial Vehicle,” presented at the IEEE/ACM Symposium on Edge Computing (SEC), Wilmington, DE, 2023. http://doi.org/10.1145/3583740.3626809
2023
Cited alongside, same era.
X. Zhao, M. Li, C. Weber, M. B. Hafez, and S. Wermter, “Chat with the Environment: Interactive Multimodal Perception Using Large Language Models,” presented at the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. http://doi.org/10.1109/iros55552.2023.10342363
2023
Cited alongside, same era.
J. Chen et al., “RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation,” 2024, http://doi.org/https://doi.org/10.48550/arXiv.2402.14623
2024
Cited alongside, same era.
OpenAi, “ChatGPT,” ed. Available: https://openai.com/chatgpt
Cited in the paper.
LLMs with MATLAB, doi: https://github.com/matlab-deep-learning/llms-with-matlab
Cited in the paper.
2024
Closest in time.
T. Takeuchi, “MatGPT,” ed, 2024. Available: https://github.com/toshiakit/MatGPT
2024
Closest in time.