A sensor fusion method for state estimation of a exible industrial robot is presented. By measuring the acceleration at the end-e ector, the accuracy of the arm angular position is improved signi cantly when these measurements are fused with motor angle observation. The problem is formulated in a Bayesian estimation framework and two solutions are proposed; one using the extended Kalman lter (e...

The paper focuses on design and control of a new anthropomorphic robot arm enabling the torque measurement in each joint to ensure safety while performing tasks of physical interaction with human and environment. When the contact of the robot arm with an object occurs, local admittance algorithm provides active compliance of corresponding robot arm joint. Thus, the whole structure of the manipu...

Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...

Inverse Kinematic (IK) model of Dexter ER2 Robotic Arm and its implementation using wireless embedded system for object sorting application was presented in this work. Dexter ER2 Robotic Arm is a vertical articulated serial robot arm built by using DC servo motors. IK modeling of robot arm was carried out in PC by using geometric method which determines the joint angles of the robot arm for req...

When human operator is in the control loop of a robotic system, which operates in unstructured, complex and dynamic environments such as those in construction and steel bridge maintenance, human factors will have significant effect on the operational performance and control of the robot. This paper aims to investigate this effect and develop efficient methods for operational performance improve...

139 Abstract— A self-collision algorithm of two arms has been developed for a developed dual arm robot manipulator. Because the developed dual arm robot is supposed to do a job of complex task which needs cooperative motion of two arms. In this complex task, self-collision of two arms can occur. In this paper, developed self-collision avoidance algorithm to prevent the limbs of the dual arm rob...

In this paper, a voice command system for a robot arm (manipulator) is designed as a part of a research project. The methodology adopted is based on a hybrid technique used in automatic speech recognition system. To implement the approach on a real-time application, a Personal Computer interface was designed to control the movements of a five degree of freedom robot arm by transmitting the orde...

Social robots are expected to adapt to their users and, like their human counterparts, learn from the interaction. In our previous work, we proposed an interactive learning framework that enables a user to intervene and modify a segment of the robot arm trajectory. The framework uses gesture teleoperation and reinforcement learning to learn new motions. In the current work, we compared the user...

We applied Reinforcement Learning on a real robot arm, in order to control its movements. The arm is actuated by two pneumatic artificial muscles, that expose a highly non-linear behavior. To enable a significant speed-up of the learning process, an empirical simulation is constructed, based on real robot observations. Furthermore, we introduce a learning strategy to facilitate learning. Using ...

This paper proposes a remote operation method for a robot arm in a complex environment by using the Virtual Force (VF) based approach. A virtual robot arm is manipulated by a steering force, at the end-effecter, which is generated according to the movement of a feedback haptic. A three-dimensional force field (3D-F) is employed in collision detection and avoidance. Repulsive forces from the 3D-...