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Grant Wang

2 accepted papers

2019

Data-efficient Learning of Morphology and Controller for a Microrobot

ICRA 2019poster

Robot design is often a slow and difficult process requiring the iterative construction and testing of prototypes, with the goal of sequentially optimizing the design. For most robots, this process is further complicated by the need, when validating the capabilities of the hardware to solve the desi…

Cited by 75SourceScholar
2018

Learning Flexible and Reusable Locomotion Primitives for a Microrobot

RA-L 2018

The design of gaits for robot locomotion can be a daunting process, which requires significant expert knowledge and engineering. This process is even more challenging for robots that do not have an accurate physical model, such as compliant or micro-scale robots. Data-driven gait optimization provid

Cited by 30SourceScholar