no code implementations • 8 Apr 2021 • Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Gunay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner
Conclusion: Our experimental data analyses demonstrate that EMG and visual evidence show complementary strengths, and as a consequence, fusion of multimodal evidence can outperform each individual evidence modality at any given time.
no code implementations • 13 Jan 2020 • Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu
Inspired by biological snakes, our control architecture is composed of two key modules: A deep reinforcement learning (RL) module for achieving adaptive goal-tracking behaviors with changing goals, and a central pattern generator (CPG) system with Matsuoka oscillators for generating stable and diverse locomotion patterns.