Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
In this paper, we propose a robust and efficient Lagrangian approach for modeling dynamic interfaces between different materials undergoing large deformations and topology change...
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
The open, sharing and anonymous nature of peer-to-peer (P2P) network has offered opportunities and threats for the development of distributed computing technology. One feasible way...
In order to implement both the efficiency and security in the Peer-to-Peer (P2P) network, we design a trusted small world overlay P2P network with the role based and reputation bas...