7 citations · 18 across the 7 of their papers we have counts for
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cs.RO2022
Neural Approaches to Co-Optimization in Robotics
Charles Schaff
Robots and intelligent systems that sense or interact with the world are increasingly being used to automate a wide array of tasks. The ability of these systems to complete these t…
cs.RO2022★ 1 cited
N-LIMB: Neural Limb Optimization for Efficient Morphological Design
Charles Schaff, Matthew R. Walter
A robot's ability to complete a task is heavily dependent on its physical design. However, identifying an optimal physical design and its corresponding control policy is inherently…
cs.RO2022★ 2 cited
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
Charles Schaff, Audrey Sedal, Matthew R. Walter
This work provides a complete framework for the simulation, co-optimization, and sim-to-real transfer of the design and control of soft legged robots. The compliance of soft robots…