This paper provides an algorithm to grasp a moving object on a belt conveyer by a robot arm with 8 DOF. A method of recognition and position measurement of the moving object is developed and built in the robot arm with a visual servo system which is consisted of two CCD cameras. To find the best grasping posture of the robot arm, the robot coordinate system and the camera coordinate system is i...

Robot vision is usually based on well-calibrated system in which the large numbers of calibration parameters cause error-prone and imprecise behaviour of the system. The fact that humans use a visual feedback intuitively initiated efforts to develop the robot control system based on agents for 3D control of robot arm without calibration. Using the simulator of 3-segment robot arm, the operators...

parameter identification techniques are particularly attractive to determine the inertial parameters of robot manipulators and manipulated payloads. these parameters are particularly needed in implementation of a model-based controller for robot manipulators. in this paper, the inertial parameters of a manipulated rigid-body object have been estimated. the newton-euler equations will be employe...

A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...

This paper presents simulation and experimental results of position-based visual servoing control process of a 6R robot using 2 fixed cameras. This method has the ability to deal with real time changes in the relative position of the target-object with respect to robot. Also, greater accuracy and independency of servo control structure from the target pose coordinates are the additional advanta...

For realizing a robot working in human society, interaction with humans is the key issue. We have developed a robot that interacts with humans based on visual recognition. This robot has two vision systems: an omnidirectional vision system for acquiring necessary visual information and a binocular stereo vision system. The binocular vision system indicates what the robot is looking at and is no...

This paper describes development and experiments of a picking robot for sweet peppers in greenhouse horticulture. This picking robot has an image processing system with a parallel stereovision, a camera positioning system to follow the sweet pepper by visual feedback control, and a cutting device. A prototype robot system has been made and is introduced. Experiments of the prototype prove that ...

Problem statement: Sensitization of robot hand is still remaining as crucial issue since most of robot hand systems nowadays are only capable to grasp a predefined specific object. It is still difficult for robot hand system to realize human-like tactile sensation. Some common problems in robot hand system are low accuracy sensing device, sensors are not robust enough for long time work and hea...