Robust Execution of Contact-Rich Motion Plans by Hybrid Force-Velocity Control
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Abstract (arXiv)
In hybrid force-velocity control, the robot can use velocity control in some directions to follow a trajectory, while performing force control in other directions to maintain contacts with the environment regardless of positional errors. We call this way of executing a trajectory hybrid servoing. We propose an algorithm to compute hybrid force-velocity control actions for hybrid servoing. We quantify the robustness of a control action and make trade-offs between different requirements by formulating the control synthesis as optimization problems. Our method can efficiently compute the dimensions, directions and magnitudes of force and velocity controls. We demonstrated by experiments the effectiveness of our method in several contact-rich manipulation tasks. Link to the video: https://youtu.be/KtSNmvwOenM.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Mar 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 2; 2025: 2.
6 papers.
- 2023HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulationcited by 27
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Correctionscited by 25
- 2025DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulationcited by 21
- 2024CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objectscited by 8
- 2024Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulationcited by 3
- 2021A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulationcited by 2
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections20 Jun 2025
- 2025DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation21 Mar 2025
- 2024Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation22 Nov 2024
- 2024CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects16 Mar 2024
- 2023HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation6 May 2023
- 2021A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation9 Nov 2021