Abstract— We study optimal trajectory generation for nonholonomic mobile robots in the presence of moving obstacles. The trajectory is presented by a parameterized higher-order p...
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
We describe EUREKA, a symbolic model checker for Linear Programs with arrays, i.e. programs where variables and array elements range over a numeric domain and expressions involve ...
The paper presents an approach to combine knowledge from memory and brain sciences with information retrieval research in the design of Web agents. An information retrieval agent f...