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» Planning, Learning, and Executing in Autonomous Systems
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IJRR
2010
177views more  IJRR 2010»
13 years 6 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz
AGENTS
1998
Springer
14 years 2 days ago
A Hybrid Procedural/Deductive Executive for Autonomous Spacecraft
The New Millennium Remote Agent NMRA will be the rst AI system to control an actual spacecraft. The spacecraft domain places a strong premium on autonomy and requires dynamic reco...
Barney Pell, Edward B. Gamble, Erann Gat, Ron Kees...
ICCBR
2009
Springer
14 years 2 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
14 years 2 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...
RAS
2006
138views more  RAS 2006»
13 years 7 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...