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IROS 2014

Encoderless robot motion control using vision sensor and back electromotive force

Conference Paper Manipulation and Grasping III / Parallel Robotics Artificial Intelligence ยท Robotics

Abstract

This paper focuses on a possibility of application of a method to simplification of robotic arm systems by removal joint encoders. The method which has been proposed achieves precise control of robotic arms using visual feedback with camera calibration errors. In this paper, the method is improved for an encoderless robotic arm system to ease several difficulties to use encoders. Encoders are fundamental components of most robotic arm systems to control joint angles precisely. However, encoders sometimes make some difficulties of wiring, structure and maintenance. The enhanced method for encoderless robotic arm systems is able to overcome these difficulties. Moreover, this method is also useful for robotic systems which have encoders since the method is able to be activated as a fail-safe system of robots with encoders just in case encoders are broken down. This new approach acquires information on joint angles from not encoders but estimation using back electromotive force. The information on joint angles includes some errors. The method, however, realizes precise manipulation. It is finally shown that this method allows errors caused by not only from camera calibrations but also joint angles.

Authors

Keywords

  • Robot sensing systems
  • Joints
  • DC motors
  • Cameras
  • Estimation
  • Rotors
  • Vision Sensors
  • Back Electromotive Force
  • Precise Control
  • Visual Feedback
  • Robotic System
  • Joint Angles
  • Robotic Arm
  • Camera Calibration
  • Control Method
  • Precise Location
  • Control Input
  • Feedback Control
  • Angular Velocity
  • Space Complexity
  • Use Of Robots
  • Terminal Voltage
  • DC Motor
  • Kinds Of Sensors
  • End-effector Position
  • Rotor Position
  • Visual Servoing
  • Constant Torque
  • Service Robots
  • Difficulty Of Design
  • Rotor Angle
  • Robot Kinematics
  • Estimated Values

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
1060862943142287207