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CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
15 years 3 months 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....
AAAI
2010
14 years 11 months ago
Search-Based Path Planning with Homotopy Class Constraints
Goal-directed path planning is one of the basic and widely studied problems in the field of mobile robotics. Homotopy classes of trajectories, arising due to the presence of obsta...
Subhrajit Bhattacharya
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 3 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
91
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AAAI
2007
14 years 11 months ago
Nonmyopic Informative Path Planning in Spatio-Temporal Models
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...
ATAL
2007
Springer
15 years 3 months ago
Scaling-up shopbots: a dynamic allocation-based approach
In this paper we consider the problem of eCommerce comparison shopping agents (shopbots) that are limited by capacity constraints. In light of the phenomenal increase both in dema...
David Sarne, Sarit Kraus, Takayuki Ito