massachusetts univ amherst dept of computer science, 2005
This paper focuses on exploring how learning and development can be structured in synthetic (robot) systems. We present a developmental assembler for...
massachusetts univ amherst dept of computer science, 2005
Biological organisms display an astonishing capability to learn new skills and adapt to dynamic environments that far outperforms any computer or robot system....
massachusetts univ amherst dept of computer science, 2005
Teams of robots can be redundant with respect to a given task. This redundancy can be exploited to pursue additional objectives during the execution of the...
massachusetts univ amherst dept of computer science, 2005
Multiple, independent robot platforms promise significant advantage with respect to robustness and flexibility. However, coordination between otherwise...
massachusetts univ amherst dept of computer science, 2005
This paper presents techniques for exploiting redundancy in teams of mobile robots. In particular, the authors address tasks involving the kinematic...
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