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Chapter 66 — Robotics Competitions and Challenges

Daniele Nardi, Jonathan Roberts, Manuela Veloso and Luke Fletcher

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 problemsolving and test through game play. Taskbased 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.

This chapter ends with some concluding remarks on the natural convergence of humaninspired competitions and task-based challenges in the promotion of STEM education, research, and vocations.

Brief history of RoboCup robot soccer

Author  Manuela Veloso

Video ID : 385

In this 5 min video, we explain the history of the multiple RoboCup soccer leagues.

Multirobot teamwork in the CMDragons RoboCup SSL team

Author  Manuela Veloso

Video ID : 387

In this video, we can see the coordination and passing strategy as an example of the play of the RoboCup small-size league (SSL), in this case, the CMDragons team from Veloso and her students, at Carnegie Mellon University. The RoboCup SSL has an overhead camera connected to an offboard computer which plans and commands the robots: The perception, planning, and actuation cycle is fully autonomous.