Combining Planning and Learning of Behavior Trees for Robotic Assembly
Jonathan Styrud,Matteo Iovino,Mikael Norrlöf,Mårten Björkman,Christian Smith,Jonathan Styrud,Matteo Iovino,Mikael Norrlöf,Mårten Björkman,Christian Smith
Industrial robots can solve tasks in controlled environments, but modern applications require robots able to operate also in unpredictable surroundings. An increasingly popular reactive policy architecture in robotics is Behavior Trees (BTs) but as other architectures, programming time drives cost and limits flexibility. The two main branches of algorithms to generate policies automatically, autom...
