— Distributed motion planning of multiple agents raises fundamental and novel problems in control theory and robotics. Recently, one such great challenge has been the development...
Distributed motion planning of multiple agents raises fundamental and novel problems in control theory and robotics. In particular, in applications such as coverage by mobile senso...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
This paper studies the optimality, scalability and stability of stateof-the-art partitioning and placement algorithms. We present algorithms to construct two classes of benchmarks...
ion of discrete abstractions of arbitrary memory span for nonlinear sampled systems Gunther Reißig⋆ Technische Universit¨at Berlin, Fakult¨at Elektrotechnik und Informatik, He...