4 papers
Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
Jingxian Wang, Chen Yu, David Matthews +3
We introduce Phantom Twist, a type of single-propeller UAV designed to achieve low visibility through high-speed spinning and the exploitation of motion blur. We develop a two-stag…
Agile legged locomotion in reconfigurable modular robots
Chen Yu, David Matthews, Jingxian Wang +4
Legged machines are becoming increasingly agile and adaptive but they have so far lacked the morphological diversity of legged animals, which have been rearranged and reshaped to f…
Evolution and learning in differentiable robots
Luke Strgar, David Matthews, Tyler Hummer +1
The automatic design of robots has existed for 30 years but has been constricted by serial non-differentiable design evaluations, premature convergence to simple bodies or clumsy b…
Reinforcement learning for freeform robot design
Muhan Li, David Matthews, Sam Kriegman
Inspired by the necessity of morphological adaptation in animals, a growing body of work has attempted to expand robot training to encompass physical aspects of a robot's design. H…