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...
The problem of estimating motion and structure from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging o...
Mustafa Unel, Asif Sabanovic, Burak Yilmaz, Eray D...
In the present paper, ImTCP-bg, a new background TCP data transfer mechanism that uses an inline network measurement technique, is proposed. ImTCP-bg sets the upper limit of the co...
Receiver-driven TCP protocols delegate key congestion control functions to receivers. Their goal is to exploit information available only at receivers in order to improve latency ...