Manuel I. Ligeralde
Papers
1
Total Citations
16
H-Index
1
About
Manuel I. Ligeralde is a robotics researcher whose work focuses on developing intelligent inspection systems for critical infrastructure. His most notable contribution is the design of an adaptive in-pipe inspection robot capable of navigating complex pipe networks—including horizontal, vertical, elbow, and tee sections—while detecting and localizing rust. This work, published in 2018 and cited 16 times, addresses a pressing real-world challenge: maintaining the integrity of aging pipe systems without costly manual inspections. By enabling autonomous rust detection and spatial mapping of corrosion within pipe networks, Ligeralde’s research advances the field of structural health monitoring and offers practical solutions for industries reliant on pipeline infrastructure. His work exemplifies how robotics can be tailored to operate in constrained, multi-directional environments, combining mechanical adaptability with sensor-based diagnostics. For students and researchers interested in applied robotics, inspection technologies, or infrastructure maintenance, Ligeralde’s contributions demonstrate the impact of engineering innovation on safety and efficiency.
Research Focus
Key Achievements
Top Papers
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