Assembly robots with optimized control stiffness through reinforcement learning

no code implementations • 27 Feb 2020 • Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji

In this study, we propose a methodology that uses reinforcement learning (RL) to achieve high performance in robots for the execution of assembly tasks that require precise contact with objects without causing damage.

reinforcement-learning Reinforcement Learning (RL) +1

Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots

no code implementations • 8 Oct 2019 • Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi

The appropriate motions can be found efficiently by searching the latent space of the trained cGANs instead of the motion space, while avoiding poor local optima.

valid