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AAAI
2008
13 years 8 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams
CCE
2008
13 years 5 months ago
Dynamic scheduling of multiproduct pipelines with multiple delivery due dates
Scheduling product batches in pipelines is a very complex task with many constraints to be considered. Several papers have been published on the subject during the last decade. Mo...
Diego C. Cafaro, Jaime Cerdá
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
14 years 12 days ago
Stochastic mobility-based path planning in uncertain environments
— The ability of mobile robots to generate feasible trajectories online is an important requirement for their autonomous operation in unstructured environments. Many path generat...
Gaurav Kewlani, Genya Ishigami, Karl Iagnemma
ICRA
2010
IEEE
92views Robotics» more  ICRA 2010»
13 years 4 months ago
Spatiotemporal path planning in strong, dynamic, uncertain currents
Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
14 years 7 days ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....