Sciweavers

203 search results - page 15 / 41
» Learning to plan for constrained manipulation from demonstra...
Sort
View
75
Voted
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
15 years 4 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
IROS
2009
IEEE
128views Robotics» more  IROS 2009»
15 years 4 months ago
Motion planning for active cannulas
— An active cannula is a medical device composed of thin, pre-curved, telescoping tubes that may enable many new surgical procedures. Planning optimal motions for these devices i...
Lisa A. Lyons, Robert J. Webster, Ron Alterovitz
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 4 months ago
Blended local planning for generating safe and feasible paths
Abstract— Many planning approaches adhere to the twotiered architecture consisting of a long-range, low fidelity global planner and a short-range high fidelity local planner. W...
Ling Xu, Anthony Stentz
DEBS
2010
ACM
15 years 1 months ago
Stochastic performance analysis and capacity planning of publish/subscribe systems
Publish/subscribe systems are used increasingly often as a communication mechanism in loosely-coupled distributed applications. With their gradual adoption in mission critical are...
Arnd Schröter, Gero Mühl, Samuel Kounev,...
95
Voted
ATAL
2010
Springer
14 years 10 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon