This paper considers H∞control for wireless networked control systems with data packet loss. In wireless networked control systems, the control performance deteriorates due to packet loss. Therefore, packet loss is one of major weakness in the wireless networked control systems. To overcome this weakness, this paper proposes a new control design that considers the influence of packet loss as a disturbance. Our new control design belongs to the H∞control design and can reduce the influence of disturbances acting on the controlled object. Numerical examples show that the proposed H∞control design can more effectively reduce control performance deterioration due to packet loss. This paper provides not only the proposal of the new control design but also control performance comparisons of the proposed control design and the Linear Quadratic (LQ) control design. Numerical examples show that the control performance of the proposed H∞control design is better than that of the LQ control design.

This paper proposes the new robot programming environment in which robot motion programming environment and dynamics simulator are integrated. This allows robot motion programs to include simulation descriptions. Additionally, a new implementation of simulation that is composed by simulation modules is presented, on the other hand, conventional simulators are monolithic and implanted every function. This makes it difficult to add new simulation functions such as new sensors on a simulator by its users. In the new method, the users of the environment can add new modules easily. The simulation function of this system is evaluated by showing new robot motion simulations like brooming, seesaw and so on. The experiment that shows how the simulation embedded brain changes the motion planning of block moving problem is illustrated in the end this paper.

This paper describes vision-based 3D walking system of a humanoid robot by combining a precise 3D planar surface detection method and a practical 3D footstep planner method. The walking control system requires vision system with 10[mm] accuracy. Then we developed the precise 3D planar surface recognition system by combining the 3D Hough transformation method and the robust estimation method. We also developed practical 3D foot step planner by considering kinematics and dynamics restriction of robot hardware. Finally, we realized vision based 3D walking experiments that a humanoid robot steps upon an unknown obstacle are shown.

This paper describes the design and development of system software for humanoid robots such that researchers who specialize not only in biped walking but also in various fields are able to use humanoid robots as a research tool. For this purpose, the system for a humanoid must integrate and organize each subsystem such as control, recognition, dialogue, planning and so on, and it must provide efficient full-body motion control by specifying fewer degrees of freedom than all joints. Our system design provides a common interface among subsystems by implementing each function as a method call through a three-dimensional model of the robot for good integration, and it also provides a motion planning technique based full-body posture sequence and walking pattern generation. Finally, we show integrated behavior experiments with vision, planning and motion control using the developed system software for a life-sized humanoid robot, HRP2.