: This paper presents a method called "Situation Matching" that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above ...
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
— This video presents a humanoid two-arm system developed as a research platform for studying dexterous twohanded manipulation. The system is based on the modular DLR-Lightweight...
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision rec...
Mobile systems operate in a resource-scarce environment and thus must adapt to external conditions; all layers must make cost-based decisions about what mode of operation to use i...