In this paper, a dual photoelectric anti-interference intelligent robot with PID control principle is designed based on the application requirements of patrolling robot. The system mainly composed three parts: controller module, motor drive and sensor module. accurately controls power algorithm by processing analog signals collected two sensors, so as to realize curved straight line driving. ca...

This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environ...

This work studies the interaction of the nonholonomic and visibility constraints of a robot to maintain visibility of a landmark. The robot is a differential drive system (nonholonomic robot) and has a sensor with limited capabilities (limited field of view). In this research, we want to determine whether or not a robot can always maintain visibility of a landmark during the execution of a path...

Industrial requirements concerning the increased efficiency and high rate of manufacturing result in the development of manufacturer robots, and a vast group of these types of robots is used for welding. This study presented the design, analysis, and simulation of a pipe-welding robot with fixed plinth for a constant circular welding around the pipes. Design of a welding robot capable of keepin...

The six axis robots are widely used in automotive industry for their good repeatability (as defined in the ISO92983) (painting, welding, mastic deposition, handling etc.). In the aerospace industry, robot starts to be used for complex applications such as drilling, riveting, fiber placement, NDT, etc. Given the positioning performance of serial robots, precision applications require usually ext...

Robot’s adaptability to surrounding as an essential subject of robot research is based on detecting environment precisely and acting timely. Moving object detection and tracking is an important approach of robot detecting external environment. Moving object detection and tracking based on computer vision means building a system with vision part and motor drive of the robot. In this paper, the r...

We introduce a type of movement constraints for a swarm of robots in a grid environment, which is inspired by Alex Randolph’s board game Ricochet Robot and new to the field of robot motion planning. This type of movement may be used to model robots with very limited abilities for self localization: We assume that once a robot starts to drive in a certain direction, it does not stop its movement...

This work studies different coverage approaches with a mobile robot equipped with a landmine detecting sensor attached to an actuator arm. Different coverage techniques were experiment in this work and the cost benefit was analyzed in terms of energy consumption. The problem of optimising the combined motion of a mobile platform with an arm was addressed. The feasibility and effectiveness of bo...

Achieving a low cost robotic arm is crucial in agricultural applications. Task based optimization of the robot kinematics influence the robot simplicity and cost. Nevertheless, the environment of the robot also has a major influence on its simplicity. We have simulated a variety of orchard architectures and searched for an optimal robot design for each architecture. From the training systems wh...

This paper provides a framework with which a humanoid robot can efficiently learn complex behavior. In this framework, a robot is rewarded by learning how to generate novel sensorimotor feedback—a form of native motivation. This intrinsic drive biases the robot to learn increasingly complex knowledge about itself and its effect on the environment. The framework includes a mechanism for uncoveri...