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UAI
1997
13 years 10 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
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...
Fabio Gagliardi Cozman
SIGCSE
2009
ACM
110views Education» more  SIGCSE 2009»
14 years 9 months ago
Personalizing CS1 with robots
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 ...
WRAC
2005
Springer
14 years 2 months ago
Autonomy Without Independence: Animal Training as a Model for Robot Design
A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictab...
David C. Wyland
ICALP
2003
Springer
14 years 2 months ago
Solving the Robots Gathering Problem
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...
ICRA
1993
IEEE
131views Robotics» more  ICRA 1993»
14 years 29 days ago
Exploration Strategies for Mobile Robots
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...
Camillo J. Taylor, David J. Kriegman