2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
DOI: 10.1109/iros51168.2021.9636412
|View full text |Cite
|
Sign up to set email alerts
|

BogieBot: A Climbing Robot in Cluttered Confined Space of Bogies with Ferrous Metal Surfaces

Abstract: Proactive inspection is essential for prediction and prevention of rolling stock component failures. The conventional process for inspecting bogies under trains presents significant challenges for inspectors who need to visually check the tight and cluttered environment. We propose a miniature multi-link climbing robot, called BogieBot, that can be deployed inside the undercarriage areas of trains and other large vehicles for inspection and maintenance purposes, for the first time. BogieBot can carry a visual … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 23 publications
0
5
0
Order By: Relevance
“…For point stabilization control tasks such as hole-making operations at a designated point, the path planning of a climbing robot is a common requirement in situations where different planes or obstacles exist in the working area. Common algorithms, such as RRT in path planning, have been successfully applied to climbing robots [ 54 ]. At the same time, intelligent optimization algorithms for path planning are research hotspots in this domain.…”
Section: Control Methods For Climbing Robotsmentioning
confidence: 99%
See 3 more Smart Citations
“…For point stabilization control tasks such as hole-making operations at a designated point, the path planning of a climbing robot is a common requirement in situations where different planes or obstacles exist in the working area. Common algorithms, such as RRT in path planning, have been successfully applied to climbing robots [ 54 ]. At the same time, intelligent optimization algorithms for path planning are research hotspots in this domain.…”
Section: Control Methods For Climbing Robotsmentioning
confidence: 99%
“…Linearizing or decoupling the control model is a frequently used approach. For example, a feedback linearization technique was employed to control a miniature multilink climbing robot [ 54 ]. A dynamic feedback linearization strategy was developed for a quadrotor-driven wheeled climbing robot [ 44 ].…”
Section: Control Methods For Climbing Robotsmentioning
confidence: 99%
See 2 more Smart Citations
“…Grippers for climbing can be categorized by if there is explicit grasping, such as with fingers or not. Magnetic [18] or suction-based [19] end effectors, dry adhesive toes such as a gecko gripper [7], and EPDM Rubber [14] are other viable options for climbing robots. LEMUR 2B [2] has demonstrated a bouldering wall climbing by hocking a high-friction rubber wrapped end-effectors.…”
Section: Climbing Grippers and Spine Tipsmentioning
confidence: 99%