— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Novel cognitive radio platforms such as IMECs COgnitive Baseband RAdio (COBRA) should ensure the feasibility of multiple streams and their reconfigurability and scalability durin...
Martin Palkovic, Jeroen Declerck, Praveen Raghavan...