Force Push: Robust Single-Point Pushing with Force Feedback
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Abstract (arXiv)
We present a controller for quasistatic robotic planar pushing with single-point contact using only force feedback to sense the pushed object. We consider an omnidirectional mobile robot pushing an object (the "slider") along a given path, where the robot is equipped with a force-torque sensor to measure the force at the contact point with the slider. The geometric, inertial, and frictional parameters of the slider are not known to the controller, nor are measurements of the slider's pose. We assume that the robot can be localized so that the global position of the contact point is always known and that the approximate initial position of the slider is provided. Simulations and real-world experiments show that our controller yields pushes that are robust to a wide range of slider parameters and state perturbations along both straight and curved paths. Furthermore, we use an admittance controller to adjust the pushing velocity based on the measured force when the slider contacts obstacles like walls.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jan 2024.
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Citing papers per year: 2025: 3.
3 papers.
- 2025Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learningcited by 5
- 2025Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seekingcited by 4
- 2025Learning Rock Pushability on Rough Planetary Terraincited by 1
- 2025Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking2 Oct 2025
- 2025Learning Rock Pushability on Rough Planetary Terrain14 May 2025
- 2025Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning3 Feb 2025