Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
A biologically inspired control algorithm for robot control was introduced in a previous work. The algorithm is robust to noisy sensor information and hardware failures. In this pa...
Fabio Dalla Libera, Shuhei Ikemoto, Takashi Minato...
We present a new approach to learning a semantic parser (a system that maps natural language sentences into logical form). Unlike previous methods, it exploits an existing syntact...
The bounding gait for the Platform for Ambulating Wheels (PAW), a new and unique hybrid wheeled-leg system is presented here. Two hypotheses are tested and discussed: first, that ...
James Andrew Smith, Ioannis Poulakakis, Michael Tr...
This paper presents the minimum-time sequences of rotations and translations that connect two configurations of a rigid body in the plane. The configuration of the body is its pos...