This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
Metaprogramming is the process of specifying generic software source templates from which classes of software components, or parts thereof, can be automatically instantiated to pr...
Coordination of multiple agents under uncertainty in the decentralized POMDP model is known to be NEXP-complete, even when the agents have a joint set of goals. Nevertheless, we s...
A generic architecture for autonomous agents is presented. In commonwith other current proposals the agent is capable of reacting to and reasoning about events which occur in its ...
Subrata Kumar Das, John Fox, D. Elsdon, Peter Hamm...