204 citations · 394 across the 15 of their papers we have counts for
15 papers
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…
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…
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…
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
D. Blackiston, S. Kriegman, J. Bongard +1
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual cat…
Scale invariant robot behavior with fractals
Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston +4
Robots deployed at orders of magnitude different size scales, and that retain the same desired behavior at any of those scales, would greatly expand the environments in which the r…
A soft robot that adapts to environments through shape change
Dylan S. Shah, Joshua P. Powers, Liana G. Tilton +3
Many organisms, including various species of spiders and caterpillars, change their shape to switch gaits and adapt to different environments. Recent technological advances, rangin…