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» Planning and defeasible reasoning
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82
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ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
14 years 11 months ago
Robotic motion planning in dynamic, cluttered, uncertain environments
— This paper presents a strategy for planning robot motions in dynamic, cluttered, and uncertain environments. Successful and efficient operation in such environments requires r...
Noel E. Du Toit, Joel W. Burdick
110
Voted
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
15 years 7 months ago
Planning for robust execution of humanoid motions using future perceptive capability
— We present an approach to motion planning for highly articulated systems that aims to ensure robust execution by augmenting the planning process to reason about the robot’s a...
Philipp Michel, Christian Scheurer, James J. Kuffn...
AAAI
2010
15 years 2 months ago
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects
Planning in dynamic continuous environments requires reasoning about nonlinear continuous effects, which previous Hierarchical Task Network (HTN) planners do not support. In this ...
Matthew Molineaux, Matthew Klenk, David W. Aha
85
Voted
COMMA
2006
15 years 2 months ago
Building Agents that Plan and Argue in a Social Context
In order for one agent to meet its goals, it will often need to influence another to act on its behalf, particularly in a society in which agents have heterogenous sets of abilitie...
Dionysis Kalofonos, Nishan C. Karunatillake, Nicho...
128
Voted
JAIR
2010
145views more  JAIR 2010»
14 years 11 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint