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Geometric backtracking for combined task and motion planning in robotic systems

  • Published:2017-06 Issue: Volume:247 Page:229-265
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Bidot Julien,Karlsson Lars,Lagriffoul Fabien,Saffiotti AlessandroORCID

Funder

FP7

Swedish Knowledge Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference56 articles.

1. A humanoid two-arm system for dexterous manipulation;Ott,2006

2. Combining task and path planning for a humanoid two-arm robotic system;Karlsson,2012

3. Constraint propagation on interval bounds for dealing with geometric backtracking;Lagriffoul,2012

4. Efficiently combining task and motion planning using geometric constraints;Lagriffoul;Int. J. Robot. Res.,2014

5. Autonomous transport vehicles: where we are and what is missing;Andreasson;IEEE Robot. Autom. Mag.,2015

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1. Text2Motion: from natural language instructions to feasible plans;Autonomous Robots;2023-11-14

2. Multi-robot geometric task-and-motion planning for collaborative manipulation tasks;Autonomous Robots;2023-10-30

3. Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. A rapidly-exploring random trees approach to combined task and motion planning;Robotics and Autonomous Systems;2022-11

5. A Hierarchical Deliberative Architecture Framework based on Goal Decomposition;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23
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