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Andrés Kecskeméthy

2 accepted papers

2020

Slope Handling for Quadruped Robots Using Deep Reinforcement Learning and Toe Trajectory Planning

IROS 2020poster

Quadrupedal locomotion skills are challenging to develop. In recent years, deep Reinforcement Learning promises to automate the development of locomotion controllers and map sensory observations to low-level actions. Moreover, the full robot dynamics model can be exploited, but no model-based simpli…

Cited by 10SourceScholar
2019

On the effect of semielliptical foot shape on the energetic efficiency of passive bipedal gait

IROS 2019poster

This paper studies the effects of varying rollover curvature on the passive dynamic gait of a biped walker. The dynamic model of a compliant biped robot is extended with the implementation of semielliptical feet, to mimic human rollingradius progression during a step. The process of modeling the sem…

Cited by 8SourceScholar