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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
16 years 20 days ago
Balancing exploration and exploitation in motion planning
— Computationally efficient motion planning must avoid exhaustive exploration of configuration space. We argue that this can be accomplished most effectively by carefully balan...
Markus Rickert, Oliver Brock, Alois Knoll
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
16 years 20 days ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
IEEEARES
2008
IEEE
16 years 19 days ago
Making Multi-Dimensional Trust Decisions on Inter-Enterprise Collaborations
—Enterprise computing is moving towards more open, collaborative systems. Joining a business network must be made efficient, despite the technical and semantic interoperability ...
Sini Ruohomaa, Lea Kutvonen
COLCOM
2007
IEEE
16 years 17 days ago
Secure peer-to-peer networks for trusted collaboration
Abstract—An overview of recent advances in secure peerto-peer networking is presented, toward enforcing data integrity, confidentiality, availability, and access control policie...
Kevin W. Hamlen, Bhavani M. Thuraisingham
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
16 years 16 days ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock