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Aristotelis Papatheodorou

2 accepted papers

2024

Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion

CoRL 2024poster

The current state-of-the-art in quadruped locomotion is able to produce a variety of complex motions. These methods either rely on switching between a discrete set of skills or learn a distribution across gaits using complex black-box models. Alternatively, we present Gaitor, which learns a disentan…

Cited by 3SourceScholar
2024

Momentum-Aware Trajectory Optimisation using Full-Centroidal Dynamics and Implicit Inverse Kinematics

IROS 2024poster

The current state-of-the-art gradient-based optimisation frameworks are able to produce impressive dynamic manoeuvres such as linear and rotational jumps. However, these methods, which optimise over the full rigid-body dynamics of the robot, often require precise foothold locations apriori, while re…

Cited by 3SourceScholar