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

作者:Fallon Maurice*; Kuindersma Scott; Karumanchi Sisir; Antone Matthew; Schneider Toby; Dai Hongkai; D'Arpino Claudia Perez; Deits Robin; DiCicco Matt; Fourie Dehann; Koolen Twan; Marion Pat; Posa Michael; Valenzuela Andres; Yu Kuan Ting; Shah Julie; Iagnemma Karl; Tedrake Russ; Teller Seth
来源:Journal of Field Robotics, 2015, 32(2): 229-254.
DOI:10.1002/rob.21546

摘要

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.

  • 出版日期2015-3