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http://dx.doi.org/10.7746/jkros.2017.12.3.258

Development of Collision Detection Method Using Estimation of Cartesian Space Acceleration Disturbance  

Jung, Byung-jin (Mechanical Engineering, Sunkyunkwan University)
Moon, Hyungpil (Mechanical Engineering, Sunkyunkwan University)
Publication Information
The Journal of Korea Robotics Society / v.12, no.3, 2017 , pp. 258-262 More about this Journal
Abstract
In this paper, we propose a new collision detection algorithm for human-robot collaboration. We use an IMU sensor located at the tip of the manipulator and the kinematic behavior of the manipulator to detect the unexpected collision between the robotic manipulator and environment. Unlike other method, the developed algorithm uses only the kinematic relationship between the manipulator joint and the end effector. Therefore, the collision estimation signal is not affected by the error of the dynamics model. The proposed collision detection algorithm detects the collision by comparing the estimated acceleration of the end effector derived from the position, velocity and acceleration trajectories of the robot joints with the actual acceleration measured by the sensor. In simulation, we compare the performance of our method with the conventional Residual Observer (ROB). Our method is less sensitive to the load variation because of the independency on the dynamic modeling of the manipulator.
Keywords
Double Actuator Unit; Position/Force Control; Collision Safety; Force Estimation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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