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This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone swarm choreography.
F. Augugliaro, A. P. Schoellig, and R. D’Andrea, “Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach,” in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2012, pp. 1917–1922
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A. Schoellig, F. Augugliaro, S. Lupashin, and R. D’Andrea, “Synchronizing the motion of a quadrocopter to music,” in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) , 2010, pp. 3355–3360
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G. Xia, J. Tay, R. Dannenberg, and M. Veloso, “Autonomous robot dancing driven by beats and emotions of music,” in Proc. of the International Conference on Autonomous Agents and Multiagent Systems , 2012, pp. 205–212
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M. Waibel, B. Keays, and F. Augugliaro, “Drone shows: Creative potential and best practices,” ETH Zurich, Tech. Rep., 2017, [Online] Available: http://hdl.handle.net/20.500.11850/125498
2017
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X. Du, C. E. Luis, M. Vukosavljev, and A. P. Schoellig, “Fast and in sync: Periodic swarm patterns for quadrotors,” in Proc. of the International Conference on Robotics and Automation (ICRA) , 2019, pp. 9143–9149
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E. Guizzo, “By leaps and bounds: An exclusive look at how Boston Dynamics is redefining robot agility,” IEEE Spectrum , vol. 56, no. 12, pp. 34–39, 2019
2019
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Boston Dynamics, “Do You Love Me?” December 2020, [Online] Available: https://www.youtube.com/watch?v=fn3KWM1kuAw
2020
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C. E. Luis, M. Vukosavljev, and A. P. Schoellig, “Online trajectory generation with distributed model predictive control for multi-robot motion planning,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 604–611, 2020
2020
Cited alongside, same era.
2021
Cited alongside, same era.
L. Brunke, M. Greeff, A. W. Hall, Z. Yuan, S. Zhou, J. Panerati, and A. P. Schoellig, “Safe learning in robotics: From learning-based control to safe reinforcement learning,” Annual Review of Control, Robotics, and Autonomous Systems , vol. 5, pp. 411–444, 2022
2022
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2023
Closest in time.
C. Huang, O. Mees, A. Zeng, and W. Burgard, “Visual language maps for robot navigation,” in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) , 2023, pp. 10 608–10 615
2023
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A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian et al. , “Do as I can, not as I say: Grounding language in robotic affordances,” in Proc. of the Conference on Robot Learning , 2023, pp. 287–318
2023
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E. Soria, F. Schiano, and D. Floreano, “Distributed predictive drone swarms in cluttered environments,” IEEE Robotics and Automation Letters , vol. 7, no. 1, pp. 73–80, 2021
2021
Cited alongside, same era.
J. Panerati, H. Zheng, S. Zhou, J. Xu, A. Prorok, and A. P. Schoellig, “Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,” in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2021, pp. 7512–7519
2021
Cited alongside, same era.
J. Zeng, B. Zhang, and K. Sreenath, “Safety-critical model predictive control with discrete-time control barrier function,” in Proc. of the IEEE American Control Conference (ACC) , 2021, pp. 3882–3889
2021
Cited alongside, same era.
M. Boukheddimi, D. Harnack, S. Kumar, R. Kumar, S. Vyas, O. Arriaga, and F. Kirchner, “Robot dance generation with music based trajectory optimization,” in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022, pp. 3069–3076
2022
Cited alongside, same era.
A. Rogel, R. Savery, N. Yang, and G. Weinberg, “RoboGroove: Creating fluid motion for dancing robotic arms,” in Proc. of the International Conference on Movement and Computing , 2022, pp. 1–9
2022
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A. Bucker, L. Figueredo, S. Haddadin, A. Kapoor, S. Ma, S. Vemprala, and R. Bonatti, “Latte: Language trajectory transformer,” in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) , 2023, pp. 7287–7294
2023
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I. Singh, V. Blukis, A. Mousavian, A. Goyal, D. Xu, J. Tremblay, D. Fox, J. Thomason, and A. Garg, “Progprompt: Generating situated robot task plans using large language models,” in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) , 2023, pp. 11 523–11 530
2023
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2023
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V. K. Adajania, S. Zhou, A. K. Singh, and A. P. Schoellig, “AMSwarm: An alternating minimization approach for safe motion planning of quadrotor swarms in cluttered environments,” in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) , 2023, pp. 1421–1427
2023
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