English

Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter

Robotics 2022-10-04 v1

Abstract

Robotic manipulators navigating cluttered shelves or cabinets may find it challenging to avoid contact with obstacles. Indeed, rearranging obstacles may be necessary to access a target. Rather than planning explicit motions that place obstacles into a desired pose, we suggest allowing incidental contacts to rearrange obstacles while monitoring contacts for safety. Bypassing object identification, we present a method for categorizing object motions from tactile data collected from incidental contacts with a capacitive tactile skin on an Allegro Hand. We formalize tactile cues associated with categories of object motion, demonstrating that they can determine with >90>90% accuracy whether an object is movable and whether a contact is causing the object to slide stably (safe contact) or tip (unsafe).

Keywords

Cite

@article{arxiv.2210.00137,
  title  = {Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter},
  author = {Rachel Thomasson and Etienne Roberge and Mark R. Cutkosky and Jean-Philippe Roberge},
  journal= {arXiv preprint arXiv:2210.00137},
  year   = {2022}
}

Comments

This paper has been accepted to be presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022

R2 v1 2026-06-28T02:30:13.966Z