We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
— Haptics, like the fields of robotics and motion control, relies on high stiffness position control of electric motors. Traditionally DC motors are driven by current amplifier...
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Planetary rovers are small unmanned vehicles equipped with cameras and a variety of sensors used for scientific experiments. They must operate under tight constraints over such res...
Shlomo Zilberstein, Richard Washington, Daniel S. ...
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...