TY - JOUR
T1 - Stable Autonomous Spiral Stair Climbing of Tracked Vehicles Using Wall Reaction Force
AU - Kojima, Shotaro
AU - Ohno, Kazunori
AU - Suzuki, Takahiro
AU - Okada, Yoshito
AU - Westfechtel, Thomas
AU - Tadokoro, Satoshi
N1 - Funding Information:
Manuscript received February 24, 2020; accepted July 9, 2020. Date of publication August 11, 2020; date of current version August 21, 2020. This letter was recommended for publication by Associate Editor Y. Pan and Editor D. Popa upon evaluation of the reviewers’ comments. This work was partially supported by CREST Recognition, Summarization and Retrieval of Large-Scale Multimedia Data. (Corresponding author: Shotaro Kojima.) Shotaro Kojima is with the Japan Society for the Promotion of Science, Tokyo 102-0083, Japan, and also with the Graduate School of Information Science, To-hoku University, Sendai 980-8579, Japan (e-mail: kojima@rm.is.tohoku.ac.jp).
Publisher Copyright:
© 2016 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - In this letter, an autonomous spiral stair climbing method for tracked vehicles using the reaction force from side walls has been proposed. Spiral stairs are one of the most difficult terrains for tracked vehicles because of their asymmetrical ground shape and small turning radius. Tracked vehicles are expected to be used in industrial plant inspection tasks, where robots should navigate on multiple floors by ascending the stairs. Spiral or curved stairs are installed as part of inspection passages for cylindrical facilities, such as boilers, chimneys, or large tanks. Previously, the authors have experimentally demonstrated that the wall-following motion is effective for stabilizing and accelerating spiral stair climbing. However, the complete automation of climbing motion or the analysis of why the same motion is generated even if a disturbance exists in the initial entry angle to the wall should be investigated. In this study, the authors developed an autonomous spiral stair climbing method using the wall reaction force and clarified the applicable limitations of this method using a geometrical model. Autonomous spiral stair climbing is realized by attaching passive wheels on its collision point and automating the motions of main tracks and sub-tracks. The geometrical model shows the expected trajectory of the robot on the spiral stairs, which suggests that the robot' s rotation radius converges to a specific value; this is experimentally confirmed by measuring the robot's motion. The wall-following motion of robots is equivalent to human inspectors grasping handrails while climbing stairs. Through collisions with surrounding objects, motion is stabilized and certainty is guaranteed.
AB - In this letter, an autonomous spiral stair climbing method for tracked vehicles using the reaction force from side walls has been proposed. Spiral stairs are one of the most difficult terrains for tracked vehicles because of their asymmetrical ground shape and small turning radius. Tracked vehicles are expected to be used in industrial plant inspection tasks, where robots should navigate on multiple floors by ascending the stairs. Spiral or curved stairs are installed as part of inspection passages for cylindrical facilities, such as boilers, chimneys, or large tanks. Previously, the authors have experimentally demonstrated that the wall-following motion is effective for stabilizing and accelerating spiral stair climbing. However, the complete automation of climbing motion or the analysis of why the same motion is generated even if a disturbance exists in the initial entry angle to the wall should be investigated. In this study, the authors developed an autonomous spiral stair climbing method using the wall reaction force and clarified the applicable limitations of this method using a geometrical model. Autonomous spiral stair climbing is realized by attaching passive wheels on its collision point and automating the motions of main tracks and sub-tracks. The geometrical model shows the expected trajectory of the robot on the spiral stairs, which suggests that the robot' s rotation radius converges to a specific value; this is experimentally confirmed by measuring the robot's motion. The wall-following motion of robots is equivalent to human inspectors grasping handrails while climbing stairs. Through collisions with surrounding objects, motion is stabilized and certainty is guaranteed.
KW - autonomous vehicle navigation
KW - dynamics
KW - Motion control
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U2 - 10.1109/LRA.2020.3015463
DO - 10.1109/LRA.2020.3015463
M3 - Article
AN - SCOPUS:85089443468
SN - 2377-3766
VL - 5
SP - 6575
EP - 6582
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 4
M1 - 9165013
ER -