R Zhang, J Lv, J Li, J Bao, P Zheng, T Peng - Journal of Manufacturing …, 2022 - Elsevier
In today's prevailing manufacturing paradigm of mass personalization, neither human operators nor robots alone can perform all assembly tasks efficiently. To overcome it, human …
D Zhao, Z Zhang, Y Dai - Neurocomputing, 2012 - Elsevier
In this paper adaptive dynamic programming (ADP) is applied to learn to play Gomoku. The critic network is used to evaluate board situations. The basic idea is to penalize the last …
Z Tang, D Zhao, K Shao, LV Le - 2016 IEEE Symposium Series …, 2016 - ieeexplore.ieee.org
Inspired by the core idea of AlphaGo, we combine a neural network, which is trained by Adaptive Dynamic Programming (ADP), with Monte Carlo Tree Search (MCTS) algorithm for …
Modeling and simulation of military operations requires human behavior models capable of learning from experience in complex environments where feedback on action quality is …
Collaborative robots are increasingly used in industry as they improve efficiency. Particularly in assembly processes, collaboration, whether Human-Robot or Robot-Robot, expands the …
Human beings can determine optimal behaviors, which depends on the ability to make planned and adaptive decisions. Decision making is defined as the ability to choose …
Human can determine optimal behaviors which depend on the ability to make planned and adaptive decisions. In this paper, we have proposed a predictive structure based on …
抄録 Individuals in the swarm intelligence systems are generally designed to be able to perform cooperative behaviors. However, those individual are usually with simple structures …