Work

Toward fieldable human-scale mobile manipulation using RoMan

Year: 2020

Type: conference-paper

Source: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications

DOI: 10.1117/12.2559995

Authors: Chad Kessens, Jonathan Fink, Arnon Hurwitz, Matthew Kaplan, Philip Osteen, Trevor Rocks, John Rogers, Ethan Stump, Quang Long, Michael DiBlasi, Mark A. Gonzalez, Dilip Patel, Jaymit Patel, Shiyani Patel, Matthew Weiker, Joseph Bowkett, Renaud J. Detry, Sisir Karumanchi, Joel Burdick, Larry Matthies, Yash Oza, Aditya Agarwal, Andrew Dornbush, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Sanjiban Choudhury, Aditya Mandalika, Siddhartha Srinivasa

Institutions: DEVCOM Army Research Laboratory, United States Army, General Dynamics (United States), Jet Propulsion Laboratory, Carnegie Mellon University, University of Pennsylvania, University of Washington

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3018239302

FWCI: 1.677

Cites:

Cited by: 6

Related to: 10