TY - GEN
T1 - AUT-UofM humanoid TeenSize joint team; a new step toward 2050’s humanoid league long term roadmap
AU - Shangari, Taher Abbas
AU - Shamshirdar, Faraz
AU - Heydari, Mohammad Hossein
AU - Sadeghnejad, Soroush
AU - Baltes, Jacky
AU - Bahrami, Mohsen
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - RoboCup is an important challenge problem in robotics. The goal of RoboCup is to build a team of humanoid robots that can beat the human world champion in 2050. More importantly, RoboCup acts as an important benchmark in developing useful and practical humanoid robots for society. An ongoing concern for RoboCup is the fact that as robots are getting ever more complex and the costs of developing a team of humanoid robots is increasing rapidly. As a result it becomes difficult for teams to participate in the RoboCup competitions. Few teams will be able to build eleven adult-sized humanoid robots to compete in 2050. This paper describes a practical and tested way for developing a team of humanoid robots with full collaboration amongst the team members. This helps in reducing the costs of developing a team. The AUT-UofM team found out that developing a joint team is easier than trying to build one individually. The collaboration between Amirkabir University of Technology, Iran and the University of Manitoba, Canada started in 2014. The joint team project overcame great challenges in fostering collaboration between teams separated by geography, culture, and politics. We achieved the creation of a novel Teen-Size humanoid robot design, generated a new analytical walking engine good balance and push recovery and improved previous monocular vision-based localization. This research is based on experiences of both universities provided from long time participation in RoboCup humanoid league in recent years.
AB - RoboCup is an important challenge problem in robotics. The goal of RoboCup is to build a team of humanoid robots that can beat the human world champion in 2050. More importantly, RoboCup acts as an important benchmark in developing useful and practical humanoid robots for society. An ongoing concern for RoboCup is the fact that as robots are getting ever more complex and the costs of developing a team of humanoid robots is increasing rapidly. As a result it becomes difficult for teams to participate in the RoboCup competitions. Few teams will be able to build eleven adult-sized humanoid robots to compete in 2050. This paper describes a practical and tested way for developing a team of humanoid robots with full collaboration amongst the team members. This helps in reducing the costs of developing a team. The AUT-UofM team found out that developing a joint team is easier than trying to build one individually. The collaboration between Amirkabir University of Technology, Iran and the University of Manitoba, Canada started in 2014. The joint team project overcame great challenges in fostering collaboration between teams separated by geography, culture, and politics. We achieved the creation of a novel Teen-Size humanoid robot design, generated a new analytical walking engine good balance and push recovery and improved previous monocular vision-based localization. This research is based on experiences of both universities provided from long time participation in RoboCup humanoid league in recent years.
UR - http://www.scopus.com/inward/record.url?scp=84942569401&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942569401&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16841-8_44
DO - 10.1007/978-3-319-16841-8_44
M3 - Conference contribution
AN - SCOPUS:84942569401
SN - 9783319168401
T3 - Advances in Intelligent Systems and Computing
SP - 483
EP - 494
BT - Robot Intelligence Technology and Applications 3 - Edition of the Selected Papers from the 3rd International Conference on Robot Intelligence Technology and Applications
A2 - Yang, Weimin
A2 - Myung, Hyun
A2 - Kim, Jong-Hwan
A2 - Sincak, Peter
A2 - Jo, Jun
PB - Springer Verlag
T2 - 3rd International Conference on Robot Intelligence Technology and Applications, RiTA 2014
Y2 - 6 November 2014 through 8 November 2014
ER -