Robotics Competitions and Challenges

This chapter explores the use of competitions to accelerate robotics research and promote science, technology, engineering, and mathematics (STEM) education. We argue that the field of robotics is particularly well suited to innovation through competitions. Two broad categories of robot competition are used to frame the discussion: human-inspired competitions and task-based challenges. Human-inspired robot competitions, of which the majority are sports contests, quickly move through platform development to focus on problem solving and test through game play. Task-based challenges attempt to attract participants by presenting a high aim for a robotic system. The contest can then be tuned, as required, to maintain motivation and ensure that the progress is made. Three case studies of robot competitions are presented, namely robot soccer, the UAV challenge, and the DARPA (Defense Advanced Research Projects Agency) grand challenges. The case studies serve to explore from the point of view of organizers and participants, the benefits and limitations of competitions, and what makes a good robot competition.

[1]  René van Paassen,et al.  UAVs as aviators: Environment skills capability for UAVs , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Jacky Baltes,et al.  RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29 - July 5, 2009] , 2010, RoboCup.

[3]  Volker Graefe,et al.  Applications of dynamic monocular machine vision , 1988, Machine Vision and Applications.

[4]  Sven Behnke,et al.  RoboCup 2013: Robot World Cup XVII , 2014, Lecture Notes in Computer Science.

[5]  Ryan M. Eustice,et al.  TerraMax™: Team Oshkosh urban robot , 2008 .

[6]  Rodney A. Walker,et al.  Flying robots to the rescue , 2010 .

[7]  Alan K. Mackworth.  On Seeing Robots , 1993, Computer Vision: Systems, Theory and Applications.

[8]  Hiroaki Kitano,et al.  The RoboCup Synthetic Agent Challenge 97 , 1997, IJCAI.

[9]  Meng Joo Er,et al.  Development control and navigation of Octocopter , 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

[10]  Martin Pellkofer,et al.  EMS-Vision: a perceptual system for autonomous vehicles , 2002, IEEE Trans. Intell. Transp. Syst..

[11]  Javier Ruiz-del-Solar,et al.  RoboCup 2010: Robot Soccer World Cup XIV , 2010, Lecture Notes in Computer Science.

[12]  Sebastian Thrun,et al.  Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.

[13]  Hugh F. Durrant-Whyte,et al.  A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..

[14]  Adam Jacoff,et al.  Using competitions to advance the development of standard test methods for response robots , 2012, PerMIS.

[15]  Wolfram Burgard,et al.  Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva , 2000, Int. J. Robotics Res..

[16]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008 .

[17]  Edwin Olson,et al.  Progress toward multi‐robot reconnaissance and the MAGIC 2010 competition , 2012, J. Field Robotics.

[18]  Michael Fleming,et al.  Team Cornell's Skynet: Robust perception and planning in an urban environment , 2008 .

[19]  Robert Schochmann,et al.  The impact of student's projects: a self reflection , 2011, 2011 14th International Conference on Interactive Collaborative Learning.

[20]  Luca Iocchi,et al.  RoboCup@Home: Scientific Competition and Benchmarking for Domestic Service Robots , 2009 .

[21]  Jesus Savage,et al.  RoboCup 2011: Robot Soccer World Cup XV , 2012, Lecture Notes in Computer Science.

[22]  Stéphane Bonnet,et al.  AURYON - A Mechatronic UAV Project Focus on Control Experimentations , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[23]  Todd Jochem,et al.  Rapidly Adapting Machine Vision for Automated Vehicle Steering , 1996, IEEE Expert.

[24]  D. Erdos,et al.  An experimental UAV system for search and rescue challenge , 2013, IEEE Aerospace and Electronic Systems Magazine.

[25]  R. Allan.  Microprocessors: The amazing micromice: See how they won: Probing the innards of the smartest and fastest entries in the Amazing Micro-Mouse Maze Contest , 1979, IEEE Spectrum.

[26]  Manuela M. Veloso,et al.  SSL-Vision: The Shared Vision System for the RoboCup Small Size League , 2009, RoboCup.

[27]  Lee Lacy,et al.  Defense Advanced Research Projects Agency (DARPA) Agent Markup Language Computer Aided Knowledge Acquisition , 2005 .

[28]  Luke Fletcher,et al.  The MIT–Cornell collision and why it happened , 2008 .

[29]  Jonathan M. Roberts,et al.  Flying Robots to the Rescue [Competitions] , 2010 .

[30]  C Miller.  Image Sensor Data Base for the DARPA ALV (Defense Advanced Research Projects Agency Autonomous Land Vehicle) Program , 1986 .

[31]  Xiaoping Chen,et al.  RoboCup 2012: Robot Soccer World Cup XVI , 2013, Lecture Notes in Computer Science.

[32]  Steve E. Watkins,et al.  Creative Interdisciplinary UAV Design , 2014, IEEE Potentials.

[33]  Wang Hong,et al.  The object recognition and adaptive threshold selection in the vision system for landing an Unmanned Aerial Vehicle , 2009, 2009 International Conference on Information and Automation.