Milad Shafiee Ashtiani

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Related publications (12)

Identifying important sensory feedback for learning locomotion skills

Auke Ijspeert, Guillaume Denis Antoine Bellegarda, Milad Shafiee Ashtiani

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

NATURE PORTFOLIO2023

Online Bipedal Locomotion Adaptation for Stepping on Obstacles Using a Novel Foot Sensor

Milad Shafiee Ashtiani

In this paper, we present a novel control architecture for the online adaptation of bipedal locomotion on inclined obstacles. In particular, we introduce a novel, cost-effective, and versatile foot sensor to detect the proximity of the robot's feet to the ...

IEEE2022

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Identifying important sensory feedback for learning locomotion skills

Auke Ijspeert, Guillaume Denis Antoine Bellegarda, Milad Shafiee Ashtiani

NATURE PORTFOLIO2023

Online Bipedal Locomotion Adaptation for Stepping on Obstacles Using a Novel Foot Sensor

Milad Shafiee Ashtiani

IEEE2022