Rich Walker — accepted AI-conference papers

2020

Tactile Telerobots for Dull, Dirty, Dangerous, and Inaccessible Tasks

Jeremy A. Fishel, Toni Oliver, Michael Eichermueller, Giuseppe Barbieri, Ethan Fowler, Toivo Hartikainen +2

ICRA 2020poster

The sense of touch, which is essential for human dexterity, is virtually absent from today's robotic hands. In this work we present progress in creating a highly-dexterous bimanual tactile telerobot, and evaluate its performance compared to bare human hands. The system, consisting of anthropomorphic…

Cited by 39 Source ↗Scholar ↗

2016

Re-using prior tactile experience by robotic hands to discriminate in-hand objects via texture properties

Mohsen Kaboli, Rich Walker, Gordon Cheng

ICRA 2016

This paper proposes an online tactile transfer learning strategy for discriminating objects through the surface texture properties via a robotic hand and an artificial robotic skin. The proposed method has the ability to autonomously select and exploit the previously learned multiple texture models

Cited by 31 Source ↗Scholar ↗