In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
This paper presents an abstract computation model of the evolution of camouflage in nature. The 2d model uses evolved textures for prey, a background texture representing the envi...
Behavior generation in humans and animals usually employs a combination of bottom-up and top-down patterns. Most available robotic architectures utilize either bottom-up or top-dow...
A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually ava...
A framework for simulating the visual attention system in primates is presented. Each stage of the attentional hierarchy is chosen with consideration for both psychophysics and ma...