Task and motion planning using mixed integer linear programming for solving fetch-and-carry tasks by a mobile manipulator
Author:
Affiliation:
1. Graduate School of Science Technology, Shinshu University, Nagano, Japan
2. Faculty of Engineering, Shinshu University, Nagano, Japan
3. Toyota Motor Corp, Aichi, Japan
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2024.2391831
Reference30 articles.
1. Lozano-Perez T, Kaelbling LP. A constraint-based method for solving’ sequential manipulation planning problems. In: IEEE/RSJ International Conference on Intelligent Robots and Systems; IEEE; 2014. p. 3684–3691.
2. Geometric backtracking for combined task and motion planning in robotic systems
3. Efficiently combining task and motion planning using geometric constraints
4. Sucan IA, Kavraki LE. Accounting for uncertainty in simultaneous task and motion planning using task motion multigraphs. In: Proc. ICRA; 2012.
5. Dantam NT, Kingston Z, Chaudhuri S, et al. Incremental task and motion planning: a constraint-based approach. In: Hsu D, Amato N, Berman S, Jacobs S, editors. Robotics: science and systems XII. pap. 2. N.p.: Robot. Sci. Syst. Found; 2016.
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