An Architecture for Online Affordance-based Perception and Whole-body Planning

Title

An Architecture for Online Affordance-based Perception and Whole-body Planning

Publication Type

Year of Publication
2014

Authors

Maurice Fallon
Scott Kuindersma
Sisir Karumanchi
Matthew Antone
Toby Schneider
Hongkai Dai
Claudia Pérez-D’Arpino
Robin Deits
Matt Dicicco
Dehann Fourie
Twan Koolen
Pat Marion
Michael Posa
Andrés Valenzuela
Kuan-Ting Yu
Julie Shah
Karl Iagnemma
Russ Tedrake
Seth Teller
Journal
Journal of Field Robotics (JFR)
Volume
32
Date Published
10/2014
Abstract

The DARPA Robotics Challenge Trials held in December 2013 provided a landmark demonstration of dexterous mobile robots executing a variety of tasks aided by a remote human operator using only data from the robot's sensor suite transmitted over a constrained, field-realistic communications link. We describe the design considerations, architecture, implementation, and performance of the software that Team MIT developed to command and control an Atlas humanoid robot. Our design emphasized human interaction with an efficient motion planner, where operators expressed desired robot actions in terms of affordances fit using perception and manipulated in a custom user interface. We highlight several important lessons we learned while developing our system on a highly compressed schedule.

Refereed Designation
Refereed