TY - GEN
T1 - Modelling human gameplay at pool and countering it with an anthropomorphic robot
AU - Leibrandt, Konrad
AU - Lorenz, Tamara
AU - Nierhoff, Thomas
AU - Hirche, Sandra
PY - 2013
Y1 - 2013
N2 - Interaction between robotic systems and humans becomes increasingly important in industry, the private and the public sector. A robot which plays pool against a human opponent involves challenges most human robot interaction scenarios have in common: planning in a hybrid state space, numerous uncertainties and a human counterpart with a different visual perception system. In most situations it is important that the robot predicts human decisions to react appropriately. In the following, an approach to model and counter the behavior of human pool players is described. The resulting model allows to predict the stroke a human chooses to perform as well as the outcome of that stroke. This model is combined with a probabilistic search algorithm and implemented to an anthropomorphic robot. By means of this approach the robot is able to defeat a player with better manipulation skills. Furthermore it is outlined how this approach can be applied to other non-deterministic games or to tasks in a continuous state space.
AB - Interaction between robotic systems and humans becomes increasingly important in industry, the private and the public sector. A robot which plays pool against a human opponent involves challenges most human robot interaction scenarios have in common: planning in a hybrid state space, numerous uncertainties and a human counterpart with a different visual perception system. In most situations it is important that the robot predicts human decisions to react appropriately. In the following, an approach to model and counter the behavior of human pool players is described. The resulting model allows to predict the stroke a human chooses to perform as well as the outcome of that stroke. This model is combined with a probabilistic search algorithm and implemented to an anthropomorphic robot. By means of this approach the robot is able to defeat a player with better manipulation skills. Furthermore it is outlined how this approach can be applied to other non-deterministic games or to tasks in a continuous state space.
UR - http://www.scopus.com/inward/record.url?scp=84892398655&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02675-6_4
DO - 10.1007/978-3-319-02675-6_4
M3 - Conference contribution
AN - SCOPUS:84892398655
SN - 9783319026749
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 30
EP - 39
BT - Social Robotics - 5th International Conference, ICSR 2013, Proceedings
T2 - 5th International Conference on Social Robotics, ICSR 2013
Y2 - 27 October 2013 through 29 October 2013
ER -