Teleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion

作者：Aditya Sripada, Harish Asokan, Abhishek Warrier, Arpit Kapoor, Harshit Gaur, Rahil Patel, R. Sridhar · 年份：2018 · DOI：10.1109/icarm.2018.8610719 · 被引用次数：14 · 研究领域：Robotic Locomotion and Control、Robot Manipulation and Learning、Prosthetics and Rehabilitation Robotics

This work presents a teleoperated humanoid robot system that can imitate human motions, walk and turn. To capture human motions, a Microsoft Kinect Depth sensor is used. Unlike the cumbersome motion capture suits, the sensor makes the system more comfortable to interact with. The skeleton data is extracted from the Kinect which is processed to generate the robot's joint angles. Robot Operating System (ROS) is used for the communication between the various parts of the code to achieve minimal latency. The lower body motions of the user are captured and processed and used to make the robot walk forward, backward and to make it turn right or left thus enabling a walking teleoperated humanoid robot system. The system has been tested on a 20DOF, 50cm tall humanoid robot and the results are produced.