Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Abstract— Cooperative manipulation with multiple, independent agents can be complicated by changing dynamics as the agents come in and out of contact with the object they are man...
Abstract. We define a framework to reason about implementations of equational theories in the presence of an adaptive adversary. We particularly focus on soundess of static equiva...
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...