DocumentCode :
651239
Title :
Preliminary result of vision-based teleoperation of an UAV and UGVs team
Author :
Chang Su Ha ; Dongjun Lee
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea
fYear :
2013
fDate :
Oct. 30 2013-Nov. 2 2013
Firstpage :
128
Lastpage :
128
Abstract :
This research´s final goal is that a user can teleoperate the team of an UAV and multiple UGVs with only vision information under unstructured environment, especially GPS-denied environment. For this scenario, we show the preliminary result of a novel vision-based teleoperation framework of a unmanned aerial vehicle (UAV) and unmanned ground vehicles (UGVs) team. The system consists of a master (a user and a haptic device) and slaves (one UAV and three UGVs) parts. The video show that once the user only teleoperates the UAV, then UGVs follow the UAV autonomously due to the vision-based control. Vision-based control guarantees convergence of image feature to the desired image feature in the our previous work[1]. This control allows robots maintain coordination. We use backstepping-based control for low-level control of UAV (trajectory tracking). We are extending the result to the team of an UAV and multiple UGVs and designing the suitable haptic feedback device in order to provide intuitive teleoperation framework to the user. Hardwares - UAV: Ascending Technology Hummingbird - UGV: Our own ground robot named TROT which is omni-directional. - Haptic device: Force dimension - Camera: smartphone (Samsung galaxy S2) - UAV position, velocity, rotation information - Vicon motion capture system. Softwares - Image processing: OpenCV.
Keywords :
autonomous aerial vehicles; mobile robots; multi-robot systems; robot vision; telerobotics; GPS-denied environment; OpenCV; Samsung Galaxy S2; TROT; UAV team; UGV team; Vicon motion capture system; ascending technology hummingbird; backstepping-based control; camera; ground robot; haptic device; haptic feedback device; image feature; image processing; low-level control; omni-directional robot; smartphone; trajectory tracking; unmanned aerial vehicle team; unmanned ground vehicles team; vision-based control; vision-based teleoperation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
Type :
conf
DOI :
10.1109/URAI.2013.6677492
Filename :
6677492
Link To Document :
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