Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
We have developed a CS1 curriculum that uses a robotics context to teach introductory programming [1]. Core to our approach is that each student has their own personal robot. Our ...
Jay Summet, Deepak Kumar, Keith J. O'Hara, Daniel ...
A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictab...
Abstract. Consider a set of n > 2 simple autonomous mobile robots (decentralized, asynchronous, no common coordinate system, no identities, no central coordination, no direct co...
Mark Cieliebak, Paola Flocchini, Giuseppe Prencipe...
The problem of programming a robot t o carry out a systematic exploration of its environment using realistic sensors is considered in this paper. The robot is modelled as a single...