Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
A Robust Layered Control System For a Mobile Robot
A Robust Layered Control System For a Mobile Robot
Robotics and Autonomous Systems
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The paper tackles the robot path planning problem with additional capacity constraints. We present new optimization model based on Constraint Programming. The emphasis is put on several comparisons including the pure CP solver performance, solution convergence, and application of the model within other local search methods. Experiments indicate fairly decent CP performance on smaller instances. Embedding CP into local search methods improves the runtime/convergence performance, and satisfiable solutions are found even under severe time constraints.