Papers
11
Total Citations
428
H-Index
9
About
Matt Haberland is a leading researcher in bioinspired robotics and swarm intelligence, whose work bridges fundamental biomechanical principles with practical robot design. His most influential contributions focus on two key areas: legged locomotion and decentralized swarm control. In locomotion, Haberland’s seminal studies on swing-leg retraction (over 110 combined citations) proved that preemptively swinging a robot’s leg backward before touchdown reduces impact energy losses and improves running efficiency—a principle now used in many dynamic robots. His work on biomimetic tails for the MIT Cheetah demonstrated that tails can provide greater average torque than reaction wheels for short, high-speed maneuvers, directly influencing agile robot design. In swarm robotics, Haberland developed the Pheeno platform (73 citations), a low-cost, versatile robot for education and research, and pioneered a decentralized stochastic control method that allows robot swarms to achieve target distributions without communication or localization—only sensing a scalar field. His broader impact includes a systematic methodology for extracting design principles from biology, helping engineers avoid simply copying nature and instead derive general, transferable solutions. With over 400 total citations across his top papers, Haberland’s work has shaped both the theory and practice of bioinspired robotics.
Research Focus
Key Achievements
Top Papers
- 1Tails in biomimetic design: Analysis, simulation, and experiment112 citations · 2012
- 2Pheeno, A Versatile Swarm Robotic Research and Education Platform73 citations · 2016
- 3The optimal swing-leg retraction rate for running55 citations · 2011
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- 6The effect of swing leg retraction on running energy efficiency33 citations · 2011
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- 9The effect of swing leg retraction on running energy efficiency23 citations · 2011
- 10Quantitative Assessment of Robotic Swarm Coverage7 citations · 2018