Jonathan Hoff
Papers
8
Total Citations
123
H-Index
5
About
Jonathan Hoff is a leading researcher in bio-inspired robotics, specializing in the design and control of flapping-wing micro aerial vehicles (MAVs). His work focuses on unraveling the complex flight mechanics of bats to create agile, soft robots. Hoff’s major contribution is the development of the Bat Bot (B2) platform, a series of robots that mimic bat flight using articulated wings, anisotropic skin, and passive wrist joints. His research has pioneered methods for trajectory planning, optimization of wing kinematics, and data-driven modeling for flapping flight, addressing the challenge of over 40 degrees of freedom in biological bats. His most-cited papers, including “Trajectory planning for a bat-like flapping wing robot” (31 citations) and “Optimizing the structure and movement of a robotic bat” (28 citations), have laid the groundwork for reducing complex bat wing conformations to simple, functional machines. Notable achievements include the synergistic design of Bat Bot 2.0, which introduced bio-inspired features like passive wrist joints, and the development of two-stage trajectory optimization using data-driven models. With over 120 total citations, Hoff’s work is instrumental in advancing the field of bio-inspired robotics, offering insights into efficient flight control and design for underactuated systems.
Research Focus
Key Achievements
Top Papers
- 1Trajectory planning for a bat-like flapping wing robot31 citations · 2019
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- 4Describing Robotic Bat Flight with Stable Periodic Orbits14 citations · 2017
- 5Reducing Versatile Bat Wing Conformations to a 1-DoF Machine13 citations · 2017
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