Papers
11
Total Citations
723
H-Index
7
About
Rogerio Bonatti is a pioneering robotics researcher whose work spans autonomous aerial systems, human-robot interaction, and the integration of large language models into robotics. He is perhaps best known for his landmark paper "ChatGPT for Robotics," which has amassed an extraordinary 429 citations and established foundational principles for applying large language models like ChatGPT to robotic tasks through prompt engineering and high-level function libraries — a contribution that has significantly shaped the emerging field of language-driven robotics. His complementary work on natural language trajectory reshaping and the LATTE transformer framework further demonstrates his commitment to making robots more intuitively controllable through human language. Beyond language interfaces, Bonatti has made meaningful contributions to autonomous UAV systems, including visual servoing for landing on moving vehicles and aerial cinematography driven by deep reinforcement learning. His research on 3D human reconstruction using collaborative aerial cameras highlights his versatility across perception and multi-agent coordination. With work spanning inverse reinforcement learning, causal transformers for robotics pre-training, and semi-supervised estimation methods, Bonatti represents a researcher uniquely positioned at the intersection of AI, perception, and autonomous systems — consistently advancing how robots understand and respond to the human world.
Research Focus
Key Achievements
Top Papers
- 1ChatGPT for Robotics: Design Principles and Model Abilities429 citations · 2024
- 2ChatGPT for Robotics: Design Principles and Model Abilities90 citations · 2023
- 3Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle71 citations · 2022
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- 5LATTE: LAnguage Trajectory TransformEr42 citations · 2023
- 63D Human Reconstruction in the Wild with Collaborative Aerial Cameras15 citations · 2021
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