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» Learning Obstacle Avoidance with an Operant Behavior Model
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99
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ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
15 years 4 months ago
Recent Progress in Local and Global Traversability for Planetary Rovers
Autonomous planetary rovers operating in vast unknown environments must operate efficiently because of size, power and computing limitations. Recently, we have developed a rover c...
Sanjiv Singh, Reid G. Simmons, Trey Smith, Anthony...
106
Voted
ICAT
2003
IEEE
15 years 5 months ago
Wearable Telepresence System using Multi-modal Communication with Humanoid Robot
This paper presents a new type of wearable telepresence system that is applicable to the control of a humanoid robot. The system consists of self-contained computing hardware with...
Yongho Seo, Heonyoung Park, Hyun Seung Yang
100
Voted
HOLOMAS
2009
Springer
15 years 5 months ago
Mobility Model for Tactical Networks
In this paper a synthetic mobility model which represents behavior and movement pattern of heterogeneous units in disaster relief and battlefield scenarios is proposed. These oper...
Milan Rollo, Antonín Komenda
82
Voted
IJCAI
2003
15 years 1 months ago
Finite Domain Constraint Solver Learning
paper, we present an abstract framework for learning a finite domain constraint solver modeled by a set of operators enforcing a consistency. The behavior of the consistency to be...
Arnaud Lallouet, Thi-Bich-Hanh Dao, Andrei Legtche...
COLT
2008
Springer
15 years 2 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby