Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about t...
In current city visualisations crowds are being included to increase realism in the scene. With the self-steering nature of crowds it is traditionally difficult to control the nu...
As robots enter the human environment and come in contact with inexperienced users, they need to be able to interact with users in a multi-modal fashion—keyboard and mouse are n...
Soshi Iba, Christiaan J. J. Paredis, Pradeep K. Kh...
This paper presents an energy-ecient biped walking method that has been implemented in a low-cost humanoid platform, PINO, for various research purposes. For biped walking robots ...
Fuminori Yamasaki, Ken Endo, Minoru Asada, Hiroaki...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...