Adaptive Wall-Climbing Robot: Precision, Agility and Versatility

A novel propeller-type wall-climbing robot has been developed that utilizes aerodynamic thrust to adhere to and traverse vertical surfaces. Equipped with multiple propellers, the robot generates controlled thrust, ensuring stability and traction on both smooth and slightly textured walls. An onboard microcontroller, such as an Arduino or ESP32, autonomously manages movement and sensor data, eliminating the need for external transmitters and enhancing operational autonomy. Its lightweight and energy-efficient design allows for effective operation in challenging environments, such as chimneys and tunnels, where traditional climbing mechanisms may struggle. Experimental testing on various wall surfaces has demonstrated the robot's stability, manoeuvrability, and overall feasibility for applications in inspection, surveillance, maintenance, and search and rescue operations. Future work will focus on integrating advanced sensors, including cameras and thermal imagers, to further enhance the robot's inspection capabilities and environmental analysis.

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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-04-23
DOI
https://doi.org/10.47392/irjaeh.2025.0249
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Adaptive Wall-Climbing Robot: Precision, Agility and Versatility

B. Venkata Srihari, K.S. Dhruva Teja, K. Ravikiran, Kamal Kumar
International Research Journal on Advanced Engineering Hub (IRJAEH)
Robotic Path Planning Algorithms
article

Adaptive Wall-Climbing Robot: Precision, Agility and Versatility

B. Venkata Srihari, K.S. Dhruva Teja, K. Ravikiran, Kamal Kumar
article en

Abstract

A novel propeller-type wall-climbing robot has been developed that utilizes aerodynamic thrust to adhere to and traverse vertical surfaces. Equipped with multiple propellers, the robot generates controlled thrust, ensuring stability and traction on both smooth and slightly textured walls. An onboard microcontroller, such as an Arduino or ESP32, autonomously manages movement and sensor data, eliminating the need for external transmitters and enhancing operational autonomy. Its lightweight and energy-efficient design allows for effective operation in challenging environments, such as chimneys and tunnels, where traditional climbing mechanisms may struggle. Experimental testing on various wall surfaces has demonstrated the robot's stability, manoeuvrability, and overall feasibility for applications in inspection, surveillance, maintenance, and search and rescue operations. Future work will focus on integrating advanced sensors, including cameras and thermal imagers, to further enhance the robot's inspection capabilities and environmental analysis.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(04)
Gandhi Medical College & Hospital (IN), Mahatma Gandhi Institute (MU)
Openalex Percentile: Top 93%
Robotic Path Planning Algorithms
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Adaptive Wall-Climbing Robot: Precision, Agility and Versatility — B. Venkata Srihari, K.S. Dhruva Teja, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS