Title :
A Sensor-Based Dual-Arm Tele-Robotic System
Author :
Kruse, Daniel ; Wen, John T. ; Radke, Richard J.
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
We present a novel system to achieve coordinated task-based control on a dual-arm industrial robot for the general tasks of visual servoing and bimanual hybrid motion/force control. The industrial robot, consisting of a rotating torso and two seven degree-of-freedom arms, performs autonomous vision-based target alignment of both arms with the aid of fiducial markers, two-handed grasping and force control, and robust object manipulation in a tele-robotic framework. The operator uses hand motions to command the desired position for the object via Microsoft Kinect while the autonomous force controller maintains a stable grasp. Gestures detected by the Kinect are also used to dictate different operation modes. We demonstrate the effectiveness of our approach using a variety of common objects with different sizes, shapes, weights, and surface compliances.
Keywords :
force control; industrial robots; motion control; sensors; telerobotics; visual servoing; Microsoft Kinect; autonomous vision-based target alignment; bimanual hybrid motion-force control; coordinated task-based control; dual-arm industrial robot; robust object manipulation; sensor-based dual-arm telerobotic system; two-handed grasping; visual servoing; End effectors; Force; Joints; Robot kinematics; Robot sensing systems; Service robots; Binary tag; distributed architecture; force control; human interface; industrial robot; primary: dual-arm manipulation; secondary: visual servoing; tele-robotics;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2014.2333754