Jonathan Rogers
Georgia Institute of Technology, University of California, Berkeley
Papers
13
Total Citations
156
H-Index
7
About
Jonathan Rogers is a robotics and controls researcher whose work spans underactuated robot locomotion, autonomous multi-agent systems, and aerospace applications. He is perhaps best known for his sustained development of brachiating robots — machines that traverse elevated wire networks through dynamic swinging maneuvers — a body of work that has grown from foundational dynamic modeling into sophisticated adaptive and feedback control frameworks. His Tarzan robot platform, introduced in 2018, exemplifies this trajectory, demonstrating a novel design capable of navigating two-dimensional wire networks. Rogers has progressively addressed the complexities of flexible cable dynamics through energy-based control, time-varying LQR methods, and adaptive robust techniques combining direct and indirect estimation, culminating in a Control Lyapunov and Barrier Function approach ensuring safe real-world operation (31 citations). Beyond brachiation, his research extends to decentralized cooperative control for weapon-target assignment problems (22 citations), bipedal robot locomotion via Hovershoe riding, Koopman operator-based motion planning, and helicopter autorotation. His early work on distributed autonomous indoor mapping further reflects a broad interest in multi-robot coordination. Collectively, Rogers' contributions have accumulated over 150 citations, establishing him as a significant voice in underactuated robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Modeling and Control of Brachiating Robots Traversing Flexible Cables22 citations · 2018
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- 5Tarzan: Design, Prototyping, and Testing of a Wire-Borne Brachiating Robot19 citations · 2018
- 6
- 7Koopman Operator Method for Chance-Constrained Motion Primitive Planning8 citations · 2020
- 8Distributed autonomous mapping of indoor environments7 citations · 2011
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