The Shortcomings of Force-from-Motion in Robot Learning
<|reference_start|>The Shortcomings of Force-from-Motion in Robot Learning: Robotic manipulation requires accurate motion and physical interaction control. However, current robot learning approaches focus on motion-centric action spaces that do not explicitly give the policy control over the interaction. In this paper, we discuss the repercussions of this choice and argue for more interaction-explicit action spaces in robot learning.<|reference_end|>
@article{aljalbout2024the,
    title={The Shortcomings of Force-from-Motion in Robot Learning},
    author={Elie Aljalbout and Felix Frank and Patrick van der Smagt and
  Alexandros Paraschos},
    journal={arXiv preprint arXiv:2407.02904},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.02904},
    primaryClass={cs.RO cs.AI cs.LG}
}