TY - GEN
T1 - Development of a remote-controlled mobile robot with binocular vision for environment monitoring
AU - Li, Hao
AU - Li, Bing
AU - Xu, Wenfu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - A mobile robot will play important role in many fields, such as radiation detecting in nuclear power plant, unknown environment exploration, disaster rescue for emergency response, and so on. This paper developed a remote-controlled mobile robot for environment monitoring. It is composed of a mobile platform, multiple sensors, a mission planner, an embedded controller and a wireless communication module. The mobile platform is a wheeled mechanism driven by two motors. The sensors include two wireless cameras and an inertia measurement unit consisting of gyroscope, accelerator and magnetometer. The former provides inspection images, which can also be further processed for simultaneous localization and mapping (SLAM). The latter provides the inertia acceleration, attitude and azimuth measurement of the robot itself. The mission planning and motor control algorithms are respectively realized in a personal computer (PC) and an ARM microprocessor (embedded controller). They communicate with each other through the wireless communication link. The PC also received the inspection images of the cameras through WIFI. At last, the robot prototype was manufactured and experimented. Experiment results of typical cases verified its flexibility and reliability.
AB - A mobile robot will play important role in many fields, such as radiation detecting in nuclear power plant, unknown environment exploration, disaster rescue for emergency response, and so on. This paper developed a remote-controlled mobile robot for environment monitoring. It is composed of a mobile platform, multiple sensors, a mission planner, an embedded controller and a wireless communication module. The mobile platform is a wheeled mechanism driven by two motors. The sensors include two wireless cameras and an inertia measurement unit consisting of gyroscope, accelerator and magnetometer. The former provides inspection images, which can also be further processed for simultaneous localization and mapping (SLAM). The latter provides the inertia acceleration, attitude and azimuth measurement of the robot itself. The mission planning and motor control algorithms are respectively realized in a personal computer (PC) and an ARM microprocessor (embedded controller). They communicate with each other through the wireless communication link. The PC also received the inspection images of the cameras through WIFI. At last, the robot prototype was manufactured and experimented. Experiment results of typical cases verified its flexibility and reliability.
KW - Mobile robot
KW - Sensor system
KW - Wireless camera
UR - https://www.scopus.com/pages/publications/84959883063
U2 - 10.1109/ICInfA.2015.7279382
DO - 10.1109/ICInfA.2015.7279382
M3 - 会议稿件
AN - SCOPUS:84959883063
T3 - 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
SP - 737
EP - 742
BT - 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
Y2 - 8 August 2015 through 10 August 2015
ER -