Milad Shafiee

Apr 30, 2024 | thetechstreetnow.com | Guillaume Bellegarda |Milad Shafiee |Auke Ijspeert

26 minutes ago   phys.org A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking—a milestone for roboticists as well as biologists interested in animal locomotion.

Apr 27, 2024 | arxiv.org | Milad Shafiee |Peizhuo Li |Guillaume Bellegarda |Auke Ijspeert

[Submitted on 27 Apr 2024] Title:Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion View a PDF of the paper titled Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion, by Ge Sun and 5 other authors View PDF HTML (experimental) Abstract:Animals possess a remarkable ability to navigate challenging terrains, achieved through the interplay of various pathways between the...

Apr 8, 2024 | nature.com | Milad Shafiee |Guillaume Bellegarda |Auke Ijspeert

AbstractQuadruped animals are capable of seamless transitions between different gaits. While energy efficiency appears to be one of the reasons for changing gaits, other determinant factors likely play a role too, including terrain properties. In this article, we propose that viability, i.e., the avoidance of falls, represents an important criterion for gait transitions.