We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Abstract— We present a decentralized approach to multirobot manipulation where the team of robots surround and trap an object and transport it, by dragging or pushing, to the goa...
Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional cameras, enables novel ...
Abstract. We propose simple randomized strategies for sequential prediction under imperfect monitoring, that is, when the forecaster does not have access to the past outcomes but r...
The main difficulty in the formalization of a static analysis framework for CC programs is probably related to the correct approximation of the entailment relation between constrai...