| Title | Highly Maneuverable Ground Reconnaissance Robot Based on Machine Learning |
| Authors | Wang, Peixuan Peng, Xiaorui Chen, Jiayu Chen, Jiacheng |
| Affiliation | Beijing Inst Technol, Sch Automat, Beijing, Peoples R China. Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China. Peking Univ, Coll Engn, Beijing, Peoples R China. |
| Keywords | recon robot machine learning double wishbone independent suspension SVM Mecanum wheel |
| Issue Date | 2018 |
| Publisher | 2018 3RD INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE) |
| Citation | 2018 3RD INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE). 2018, 102-106. |
| Abstract | This article mainly introduces the application of a reconnaissance robot's mechanical design, motion control algorithm and image processing program. In the mechanical structure, it adopts a motor system that drives a Mecanum wheel with double wishbone independent suspension to ensure that the robot has high speed and high mobility. The robot is equipped with a two-degree-of-freedom pan/tilt for installing a wireless video camera, which can acquire images with free viewing angles to facilitate remote control of operators and obtain on-site intelligence. The image processing program uses the machine learning method of the HOG feature and the SVM classifier to identify target objects such as enemy forces or certain types of explosive objects in disaster scenarios to reduce the pressure on operators and increase the reaction speed. |
| URI | http://hdl.handle.net/20.500.11897/571589 |
| Indexed | CPCI-S(ISTP) |
| Appears in Collections: | 工学院 |
