Title
Attempt at climbing of spiral staircase for tracked vehicles using reaction force of stairs' handrail
Abstract
Disaster response robots are important for the investigation of nuclear power and chemical plants. To investigate an area, robots are required to climb straight or spiral staircases because equipment components are installed on different-level floors, which are connected by stairs. Installed stairs are narrow and steep because the location of equipment components is given priority in the environment inside plants. It is considerably difficult for a tracked vehicle, which has high mobility on stairs or rough terrain, to climb spiral staircases. We propose a method for a tracked vehicle to climb spiral staircases. A characteristic of the method is that the tracked vehicle uses the reaction force from a safety wall, which is installed to prevent objects from dropping down and damaging the equipment in plants. It is shown that the climbing motion is easy to perform using the wall without complicated control, as compared to when the wall is not used. The climbing motion of a robot on a spiral staircase using a wall is analyzed by employing a dynamic model. Experimental results show that it is possible to climb without slippage and at a high speed by maintaining contact along the wall. These results show that a tracked vehicle can access areas that could not be reached earlier through contact with the environment. Furthermore, it is considered that the climbing motion using contact with the environment can be applied to an autonomous mobile robot for automating inspection because complicated control is not required.
Year
DOI
Venue
2017
10.1109/SII.2017.8279255
2017 IEEE/SICE International Symposium on System Integration (SII)
Keywords
Field
DocType
spiral staircase,tracked vehicle,reaction force,disaster response robots,chemical plants,equipment components,installed stairs,climbing motion,nuclear power plants,dynamic model,safety wall,inspection automation,autonomous mobile robot
Computer vision,Spiral,Handrail,Simulation,Reaction,Robot kinematics,Artificial intelligence,Engineering,Climb,Climbing,Mobile robot,Stairs
Conference
ISSN
ISBN
Citations 
2474-2317
978-1-5386-2264-3
0
PageRank 
References 
Authors
0.34
6
7
Name
Order
Citations
PageRank
Yuto Ohashi100.34
Shotaro Kojima245.19
Kazunori Ohno326440.48
Yoshito Okada423021.16
Ryunosuke Hamada552.86
Takahiro Suzuki6114.38
Satoshi Tadokoro71014177.55