This is a tracked mobile robot (named as HunterBot) built by ourselves, which is used for exploration and manipulation in unknown environments. The bodywork is a crawler vehicle structure with two front arms. It has strong mobility and ground adaptability. It can climb the stairs, run over general obstacles and go across rough terrain. A 5-DoF manipulator is developed to deal with dangerous source and sample collection. The end effector of the manipulator could be easily replaced and expanded according to different task demands.
Publications
1. J. Bao, X. Yao, H. Tang and A. Song. Outdoor Navigation of a Mobile Robot by Following GPS Waypoints and Local Pedestrian Lane. The 8th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2018.
2. K. Qian, A. Song, J. Bao and H. Zhang. Small Teleoperated Robot for Nuclear Radiation and Chemical Leak Detection. International Journal of Advanced Robotic Systems, 2012, 9.
3. J. Bao, H. Tang and A. Song. Combining Vision Learning and Interaction for Mobile Robot Path Planning. International Journal of Advanced Robotic Systems, 2012, 9: 102.
4. J. Bao, A. Song and H. Tang. Navigation Method for Reconnaissance Robot based on Vision Object Tracking. Journal of Southeast University: Natural Science Edition, 2012, 42(3): 399-405.
5. J. Bao, A. Song, Y. Guo and H. Tang. A Particle Filter Tracking Algorithm Based on Multi-feature Clustering. Jiqiren(Robot), 2011, 33(5): 634-640.
6. J. Bao, Y. Guo, A. Song and H. Tang. A Multi-agent Based Robot Telesupervision Architecture for Hazardous Materials Detection. IEEE International Conference on Information and Automation (ICIA), 2010, 2428-2432.
7. Y. Guo, A. Song, J. Bao, H. Zhang and H. Tang. Research on Centroid Position for Stairs Climbing Stability of Search and Rescue Robot. International Journal of Advanced Robotic Systems, 2010, 7(4): 24-30.
Video Demonstrations
Detecting Untraversable Regions for Navigating Mobile Robot on Pedestrian Lanes
Outdoor Navigation of a Mobile Robot by Following GPS Waypoints and Local Pedestrian Lane
Navigates the HunterBot Autonomously with Obstacle Avoidance Capability