ResearchResearch paperRobotics & Embodied AI · Reinforcement Learning1 source · Oct 16, 2026

Simultaneous Force and Motion Control in Generalised Coordinates

Robot manipulators often come into contact with rigid objects when performing work.

Key points

  • Simultaneous force & motion control was developed to regulate contact forces commensurate with these constraints, whilst projecting motion control in to the orthogonal, unconstrained directions.
  • However, most constraints on the robot control, such as joint limits, collision avoidance, singularity avoidance, etc. are naturally expressed in generalised coordinates (joint space).
  • In this paper Gauss' principle of least constraint is used to solve the control as a quadratic programming (QP) problem in generalised coordinates.
  • It is shown that the theoretical solution to this problem produces the correct constrained dynamics for accurate contact force control.

Sources (1)

  • [1]Simultaneous Force and Motion Control in Generalised Coordinates
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 01:41 AM
    Robot manipulators often come into contact with rigid objects when performing work.
    Simultaneous force & motion control was developed to regulate contact forces commensurate with these constraints, whilst projecting motion control in to the orthogonal, unconstrained directions.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 15, 2026CBF-Based Control Allocation for Omnidirectional Tiltrotor Aerial Robots
  2. Oct 15, 2026MR-MPCC: Model Predictive Contouring Control for Robotic Manipulator Tracking under Moving Reference Frames
  3. Oct 14, 2026Persistent Profile-Guided Reset-Free Recovery Improves Final Gait Selection after Irreversible Leg Damage
  4. Oct 14, 2026Efficient Test-Time Adaptation For Robot Policies

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