A Certified-Complete Bimanual Manipulation Planner
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Abstract (arXiv)
Planning motions for two robot arms to move an object collaboratively is a difficult problem, mainly because of the closed-chain constraint, which arises whenever two robot hands simultaneously grasp a single rigid object. In this paper, we propose a manipulation planning algorithm to bring an object from an initial stable placement (position and orientation of the object on the support surface) towards a goal stable placement. The key specificity of our algorithm is that it is certified-complete: for a given object and a given environment, we provide a certificate that the algorithm will find a solution to any bimanual manipulation query in that environment whenever one exists. Moreover, the certificate is constructive: at run-time, it can be used to quickly find a solution to a given query. The algorithm is tested in software and hardware on a number of large pieces of furniture.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2017.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 1; 2025: 1.
6 papers.
- 2022SpeedFolding: Learning Efficient Bimanual Folding of Garmentscited by 51
- 2023Stabilize to Act: Learning to Coordinate for Bimanual Manipulationcited by 36
- 2022A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policiescited by 26
- 2024Large Language Models for Orchestrating Bimanual Robotscited by 10
- 2023LEMMA: Learning Language-Conditioned Multi-Robot Manipulationcited by 7
- 2025Placeit! A Framework for Learning Robot Object Placement Skillscited by 0
- 2025Placeit! A Framework for Learning Robot Object Placement Skills10 Oct 2025
- 2024Large Language Models for Orchestrating Bimanual Robots2 Apr 2024
- 2023Stabilize to Act: Learning to Coordinate for Bimanual Manipulation3 Sep 2023
- 2023LEMMA: Learning Language-Conditioned Multi-Robot Manipulation2 Aug 2023
- 2022SpeedFolding: Learning Efficient Bimanual Folding of Garments22 Aug 2022
- 2022A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies1 Aug 2022