Home /Research /A Robotic System for Reaching in Dense Clutter that Integrates Model Predictive Control, Learning, Haptic Mapping, and Planning
HRI

A Robotic System for Reaching in Dense Clutter that Integrates Model Predictive Control, Learning, Haptic Mapping, and Planning

Tapomayukh Bhattacharjee, Phillip M. Grice, Ariel Kapusta, Marc D. Killpack, Daehyung Park, Charles C. Kemp

Year
2014
Citations
22
Access
Open access

Abstract

©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

ClutterHaptic technologyComputer scienceArtificial intelligenceModel predictive controlControl (management)Computer visionRadar

Related papers

Browse all HRI papers