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Jeff J. Aguilar

2 accepted papers

2017

Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression

ICRA 2017poster

The varied and complex dynamics of deformable terrain are significant impediments toward real-world viability of locomotive robotics, particularly for legged machines. We explore vertical jumping on granular media (GM) as a model task for legged locomotion on uncharacterized deformable terrain. By i…

Cited by 26SourceScholar
2016

Tractable terrain-aware motion planning on granular media: An impulsive jumping study

IROS 2016poster

This work demonstrates fast motion planning for robot locomotion that is optimized for terrain with complex dynamics, specifically, rapid penetration of granular media. Gait planning is critical for many legged locomotion control approaches, but they typically assume rigid ground contact. We aim to…

Cited by 52SourceScholar