1 code implementation • 9 Oct 2017 • Martim Brandao, Kenji Hashimoto, Atsuo Takanishi
In this paper we introduce a new benchmark for trajectory optimization and posture generation of legged robots, using a pre-defined scenario, robot and constraints, as well as evaluation criteria.
no code implementations • 27 Jun 2017 • Martim Brandao, Yukitoshi Minami Shiguematsu, Kenji Hashimoto, Atsuo Takanishi
In this paper we tackle the problem of visually predicting surface friction for environments with diverse surfaces, and integrating this knowledge into biped robot locomotion planning.
no code implementations • 12 Aug 2016 • Ashley Edwards, Charles Isbell, Atsuo Takanishi
Reinforcement learning problems are often described through rewards that indicate if an agent has completed some task.