204 citations · 394 across the 15 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.RO2023
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…
cs.AI2023★ 1 cited
Glamour muscles: why having a body is not what it means to be embodied
Shawn L. Beaulieu, Sam Kriegman
Embodiment has recently enjoyed renewed consideration as a means to amplify the faculties of smart machines. Proponents of embodiment seem to imply that optimizing for movement in…
cs.RO2023★ 30 cited
Efficient automatic design of robots
David Matthews, Andrew Spielberg, Daniela Rus +2
Robots are notoriously difficult to design because of complex interdependencies between their physical structure, sensory and motor layouts, and behavior. Despite this, almost ever…