activity
20172026
most citedAutomated shapeshifting for function recovery in damaged robots

52 citations · 79 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Environmental resilience via morphological diversity within machines

Alice Hein, Josh Bongard

Organisms contain diverse, sensorimotor parts across size scales and rapidly adapt to new environments, while machines contain only inert materials at smaller scales and struggle w…

cs.RO2021

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…

cs.RO20193 cited

Scalable sim-to-real transfer of soft robot designs

Sam Kriegman, Amir Mohammadi Nasab, Dylan Shah +5

The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Mac…

cs.RO2019

Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design

Kent Rosser, Jia Kok, Javaan Chahl +1

Morphology of a robot design is important to its ability to achieve a stated goal and therefore applying machine learning approaches that incorporate morphology in the design space…

cs.RO201952 cited

Automated shapeshifting for function recovery in damaged robots

Sam Kriegman, Stephanie Walker, Dylan Shah +3

A robot's mechanical parts routinely wear out from normal functioning and can be lost to injury. For autonomous robots operating in isolated or hostile environments, repair from a…