Sampling-based planners struggle when the valid configurations are constrained to an implicit manifold. Special planners have been proposed for this problem recently. Our new framework is decoupled from any particular planner and augments existing algorithms not explicitly designed for constraint planning. We demonstrate the advantages of our generalized approach
We present a proof for the probabilistic completeness of RRT-based algorithms when planning with con...
Constraint satisfaction techniques are commonly used for solving scheduling problems, still they are...
Abstract: Motion planning for spatially constrained robots is difficult due to addi-tional constrain...
Despite the significant advances in path planning methods, highly constrained problems are still cha...
Despite the significant advances in path planning methods, problems involving highly constrained spa...
The situation arising in path planning under kinematic constraints, where the valid configurations d...
Abstract: Despite the significant advances in path planning methods, problems involving highly const...
International audienceMany robotics tasks involve a set of constraints that limit the valid configur...
Abstract — A simple sample-based planning method is pre-sented which approximates connected regions ...
In many relevant path planning problems, loop closure constraints reduce the configuration space to ...
Constraint satisfaction techniques are used frequently for solving scheduling problems, but they are...
Kinematic loop-closure constraints significantly increase the difficulty of motion planning for arti...
Planning problems deal with finding a (shortest) sequence of actions that transfer the initial state...
International audienceSampling-based planning algorithms have been extensively exploited to solve a ...
This paper presents an efficient approach for asymptotically-optimal path planning on implicitly-def...
We present a proof for the probabilistic completeness of RRT-based algorithms when planning with con...
Constraint satisfaction techniques are commonly used for solving scheduling problems, still they are...
Abstract: Motion planning for spatially constrained robots is difficult due to addi-tional constrain...
Despite the significant advances in path planning methods, highly constrained problems are still cha...
Despite the significant advances in path planning methods, problems involving highly constrained spa...
The situation arising in path planning under kinematic constraints, where the valid configurations d...
Abstract: Despite the significant advances in path planning methods, problems involving highly const...
International audienceMany robotics tasks involve a set of constraints that limit the valid configur...
Abstract — A simple sample-based planning method is pre-sented which approximates connected regions ...
In many relevant path planning problems, loop closure constraints reduce the configuration space to ...
Constraint satisfaction techniques are used frequently for solving scheduling problems, but they are...
Kinematic loop-closure constraints significantly increase the difficulty of motion planning for arti...
Planning problems deal with finding a (shortest) sequence of actions that transfer the initial state...
International audienceSampling-based planning algorithms have been extensively exploited to solve a ...
This paper presents an efficient approach for asymptotically-optimal path planning on implicitly-def...
We present a proof for the probabilistic completeness of RRT-based algorithms when planning with con...
Constraint satisfaction techniques are commonly used for solving scheduling problems, still they are...
Abstract: Motion planning for spatially constrained robots is difficult due to addi-tional constrain...