PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 3, 2026Machines0 citationsOpen Access

C3bot: A Climbing Robot for 3D Variable-Curvature Structures

View Full Paper
MWMingyuan WangYXYize XuZGZiqing Gu

Key Points

  • The aim is to develop a climbing robot that can adapt to complex curved surfaces efficiently.
  • Proposed a spherical magnetic wheel robot with a bilateral wheeled design and passive magnetic modules.
  • Conducted simulations to assess swing angle effects on adhesion and determine minimum adaptable curvature radius.
  • Performed experiments on climbing stability with variables including surface radii and obstacle-crossing capabilities.
  • Demonstrated stable climbing on surfaces with radii ranging from 100–350 mm.
  • Achieved obstacle-crossing capabilities up to 7 mm high.
  • Showed a payload capacity of 16.63 kg while maintaining size and weight constraints.

Abstract

To improve the adaptability and adhesion of wall-climbing robots on complex curved surfaces, a self-adaptive spherical magnetic wheel robot is proposed for inspecting three-dimensional variable-curvature structures. The robot employs a bilateral wheeled design with passive magnetic modules that automatically adjust to contact conditions, ensuring efficient adhesion without active control. A Halbach-array magnetic circuit further enhances adhesion without increasing size or weight. Simulations analyze the effect of swing angle on adhesion and determine the minimum adaptable curvature radius. Experiments show stable climbing on surfaces with radii of 100–350 mm, obstacle-crossing up to 7 mm, and a payload capacity of 16.63 kg. Compared with existing designs, the robot offers improved curvature adaptability and load capacity under similar size and weight constraints.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69f6e67c8071d4f1bdfc71behttps://doi.org/10.3390/machines14050492
Ask AI
Helpful
Bookmark
Share
View Full Paper