Matthew Chignoli
Papers
11
Total Citations
409
H-Index
7
About
Matthew Chignoli is a leading roboticist whose work sits at the intersection of hardware design, motion planning, and control for highly dynamic legged systems. His primary research focuses on enabling humanoid and quadruped robots to perform acrobatic and athletic behaviors—such as flips, spinning jumps, and omnidirectional leaps—that were once the exclusive domain of biology. Chignoli’s major contributions include the development of the MIT Humanoid, a platform designed for high power density and robustness, and the creation of an actuator-aware kino-dynamic motion planner that makes real-time acrobatics possible. He has also pioneered variational-based optimal control strategies for underactuated balancing in quadrupeds and advanced whole-body model predictive control for humanoids, tackling the challenge of enforcing inequality constraints at real-time rates. His most cited work, “The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors” (149 citations), exemplifies his impact, while his research on robust autonomous navigation and online trajectory optimization for aerial motions has garnered over 200 total citations. Chignoli’s achievements have pushed the frontier of dynamic locomotion, bringing robots closer to human-level athleticism.
Research Focus
Key Achievements
Top Papers
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- 6Rapid and Reliable Quadruped Motion Planning with Omnidirectional Jumping24 citations · 2022
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- 8URDF+: An Enhanced URDF for Robots with Kinematic Loops5 citations · 2024
- 9Trajectory optimization for dynamic aerial motions of legged robots5 citations · 2021
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