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Ahmadreza Ahmadi

1 accepted papers

2021

Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification

RA-L 2021

Legged robots are popular candidates for missions in challenging terrains due to their versatile locomotion strategies. Terrain classification is a key enabling technology for autonomous legged robots, allowing them to harness their innate flexibility to adapt to the demands of their operating envir

Cited by 17SourcecodeScholar