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AIPS
2007
13 years 7 months ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
ICRA
2010
IEEE
157views Robotics» more  ICRA 2010»
13 years 3 months ago
Integrated planning and control of large tracked vehicles in open terrain
Abstract— Trajectory generation and control of large equipment in open field environments involves systematically and robustly operating in uncertain and dynamic terrain. This p...
Xiuyi Fan, Surya Singh, Florian Oppolzer, Eric Net...
RAS
2006
111views more  RAS 2006»
13 years 5 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
AAAI
2008
13 years 7 months ago
Adaptive Control for Autonomous Underwater Vehicles
We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
13 years 3 months ago
Time-bounded lattice for efficient planning in dynamic environments
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...
Aleksandr Kushleyev, Maxim Likhachev