MAHRU-M: A mobile humanoid robot platform based on a dual-network control system and coordinated task execution |
| |
Authors: | Young-Su ChaAuthor Vitae KangGeon KimAuthor Vitae |
| |
Affiliation: | a Cognitive Robotics Center, Korea Institute of Science and Technology, Seoul, Republic of Koreab Machine Intelligence Group, Information and Technology Lab, LGE Advanced Research Institute, Seoul, Republic of Koreac School of Robotics, Kwangwoon University, Seoul, Republic of Korea |
| |
Abstract: | This paper introduces a mobile humanoid robot platform able to execute various services for humans in their everyday environments. For service in more intelligent and varied environments, the control system of a robot must operate efficiently to ensure a coordinated robot system. We enhanced the efficiency of the control system by developing a dual-network control system. The network system consists of two communication protocols: high-speed IEEE 1394, and a highly stable Controller Area Network (CAN). A service framework is also introduced for the coordinated task execution by a humanoid robot. To execute given tasks, various sub-systems of the robot were coordinated effectively by this system. Performance assessments of the presented framework and the proposed control system are experimentally conducted. MAHRU-M, as a platform for a mobile humanoid robot, recognizes the designated object. The object’s pose is calculated by performing model-based object tracking using a particle filter with back projection-based sampling. A unique approach is used to solve the human-like arm inverse kinematics, allowing the control system to generate smooth trajectories for each joint of the humanoid robot. A mean-shift algorithm using bilateral filtering is also used for real-time and robust object tracking. The results of the experiment show that a robot can execute its services efficiently in human workspaces such as an office or a home. |
| |
Keywords: | Humanoid robot MAHRU-M Control system Task execution |
本文献已被 ScienceDirect 等数据库收录! |
|