Context-aware computing in location-aware environments demands the combination of real world position with a computational world model to infer context. We present a novel approach...
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
Abstract. Criteria to design MR (Magnetic Resonance) compatible mechatronic devices, e.g., surgical robots, are discussed. Some of critical interactions between MRI and mechatronic...
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of hum...