DocumentCode :
114183
Title :
Obstacles modeling and collision detection of space robots for performing on-orbit services
Author :
Zonggao Mu ; Wenfu Xu ; Xuehai Gao ; Lijun Xue ; Chun Li
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
461
Lastpage :
466
Abstract :
A space robotic system will play important role in on-orbital servicing missions, such as target capturing, ORU(Orbital Replacement Unit) replacement, payload transfer, and so on. To manipulate the space robot safely, we addressed feasible obstacles modeling and collision detection methods. In-depth investigation and analysis showed that most spacecraft are composed of modular and standardized devices, whose contour can be approximated by regular geometry shapes-sphere, cylinder, cuboid, cone, etc. Then, a super-quadric function was used to describe their spatial surfaces, establishing a unified frame to model the typical obstacles. On the other hand, we realized three effective collision detection methods to supply early warning before the danger comes. These methods are the line group method based on OSG(Open scene Graph), bounding box method based on OBB(Oriented Bounding Box) and cylinder method based on the dual vector. Finally, we developed a simulation system and verified the proposed methods on it.
Keywords :
aerospace robotics; collision avoidance; manipulators; space vehicles; vectors; OBB; ORU replacement; OSG; bounding box method; collision detection; cylinder method; dual vector; line group method; modular devices; obstacle modeling; on-orbit services; on-orbital servicing missions; open scene graph; orbital replacement unit replacement; oriented bounding box; payload transfer; space robotic system; space robots; spacecraft; standardized devices; super-quadric function; target capturing; Collision avoidance; Geometry; Manipulators; Shape; Solid modeling; Space vehicles; Collision detection; Obstacle modeling; On-orbit Servicing; Space robot; Trajectory Planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920517
Filename :
6920517
Link To Document :
بازگشت