Reinforcement learning is a useful method to acquire a purposive behavior with little or no a priori knowledge about the environment. In applying the reinforcement learning to a real robot, there are many di cult problems, such as long learning time and construction of its state and action space. In this paper, we show a soccer robot which learns to shoot a ball into the goal using the Q-learni...

This paper presents the design and preliminary analysis of a mobile robot for asteroid exploration. The basic requirement for the robot is to achieve scientific investigation of the asteroid surface at arbitrary locations with fine positioning capability after a large stride movement. A preliminary discussion and simulation on the dynamic behavior of a multi-legged robot in microgravity is addr...

Path planning related to mobile robots is the construction of the collision free trajectories that direct robots towards their goal. In this paper, a bio inspired approach based on the foraging behaviour of the bacteria (E-coli) has been proposed to design an optimal path for the robot. The present approach admires that the mobile robot is capable of reaching the goal by following the optimum p...

R econfigurable architectures are becoming increasingly popular as they bear a promise of combining the flexibility of software with the performance of hardware. Nevertheless, such architectures are subject to numerous constraints, such as performance, memory requirements, chip area, and power consumption. To create an efficient design, performing Design Space Exploration (DSE) at various stage...

Abstract Aiming at the emergence of patients with outdoor cardiac arrest, to strive for more golden rescue time, a robot suitable arrest is proposed. Combined medical research on human thorax, dynamic model thorax established, kinematics and dynamics end effector mechanism are analyzed, simulated cardiopulmonary resuscitation in Adams software. The relationship between stroke, speed, accelerati...