This paper overviews and discusses the relationship between Reinforcement Learning (RL) recently developed Dual Control for Exploitation Exploration (DCEE). It is argued that there are two related but quite distinctive approaches, namely, control machine learning, in tackling intractability arising optimal decision making/control problems. In approach, original problems (of an infinite horizon)...

The paper deals with the wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology and gives the fuzzy velocity control of a mobile robot motion in an unknown environment with slopes and obstacles. The model of the vehicle has two driving wheels and the angular velocities of the two wheels are independently controlled. Wh...

In impedance control for force tracking, it is well known that the reference trajectory of the robot is calculated from known environmental stiffness. The authors present a simple technique for determining the reference trajectory under the condition that the environment is unknown. The technique is developed based on the replacement of the unknown stiffness with a function of the measured forc...

In this paper, we study the path planning for khepera II mobile robot in an unknown environment. The well known heuristic D* lite algorithm is implemented to make the mobile robot navigate through static obstacles and find the shortest path from an initial position to a target position by avoiding the obstacles. and to perform efficient re-planning during exploration. The proposed path finding ...

A system can accomplish an objective specified in temporal logic while interacting with an unknown, dynamic but rule-governed environment, by employing grammatical inference and adapting its plan of action on-line. The purposeful interaction of the system with its unknown environment can be described by a deterministic two-player zero-sum game. Using special new product operations, the whole ga...

In impedance control for contact force tracking, it is well known that the reference trajectory of the robot is calculated from known environment stiiness 1]. Here we present a simple technique for determining the reference trajectory under the condition that the environment stiiness is unknown. The technique is developed based on the replacement of the unknown stiiness with a function of the m...