TY - JOUR
T1 - RoboCup simulation leagues
T2 - enabling replicable and robust investigation of complex robotic systems
AU - Budden, David M.
AU - Wang, Peter
AU - Obst, Oliver
AU - Prokopenko, Mikhail
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Physically realistic simulated environments are powerful platforms for enabling measurable, replicable, and statistically robust investigation of complex robotic systems. Such environments are epitomized by the RoboCup (RC) simulation leagues, which have been successfully utilized to conduct massively parallel experiments on a variety of topics, including optimization of bipedal locomotion, self-localization from noisy perception data, and planning complex multiagent strategies without direct agent-to-agent communication. Many of these systems are later transferred to physical robots, making the simulation leagues invaluable beyond the scope of simulated soccer matches.
AB - Physically realistic simulated environments are powerful platforms for enabling measurable, replicable, and statistically robust investigation of complex robotic systems. Such environments are epitomized by the RoboCup (RC) simulation leagues, which have been successfully utilized to conduct massively parallel experiments on a variety of topics, including optimization of bipedal locomotion, self-localization from noisy perception data, and planning complex multiagent strategies without direct agent-to-agent communication. Many of these systems are later transferred to physical robots, making the simulation leagues invaluable beyond the scope of simulated soccer matches.
UR - http://www.scopus.com/inward/record.url?scp=85027938923&partnerID=8YFLogxK
U2 - 10.1109/MRA.2015.2446911
DO - 10.1109/MRA.2015.2446911
M3 - Article
AN - SCOPUS:85027938923
SN - 1070-9932
VL - 22
SP - 140
EP - 146
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 3
M1 - 7214245
ER -