Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter
Rachel Thomasson, Etienne Roberge, Mark R. Cutkosky, Jean-Philippe Roberge
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% accuracy whether an object is movable and whether a contact is causing the object to slide stably (safe contact) or tip (unsafe).
BibTeX
@inproceedings{iros2022_goinginblindobje,
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},
booktitle = {IROS 2022},
year = {2022}
}