An Architecture for Online Affordance-based Perception and Whole-body Planning
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....
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Veröffentlicht in: | Journal of field robotics 2015-03, Vol.32 (2), p.229-254 |
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container_title | Journal of field robotics |
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creator | Fallon, Maurice Kuindersma, Scott Karumanchi, Sisir Antone, Matthew Schneider, Toby Dai, Hongkai D'Arpino, Claudia Pérez Deits, Robin DiCicco, Matt Fourie, Dehann Koolen, Twan Marion, Pat Posa, Michael Valenzuela, Andrés Yu, Kuan-Ting Shah, Julie Iagnemma, Karl Tedrake, Russ Teller, Seth |
description | 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. |
doi_str_mv | 10.1002/rob.21546 |
format | Article |
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Field Robotics</addtitle><description>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. 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subjects | Architecture Command and control Computer programs Design engineering Human Operators Perception Robotics Robots |
title | An Architecture for Online Affordance-based Perception and Whole-body Planning |
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