Adaptive Wall-Climbing Robot: Precision, Agility and Versatility

Authors

  • B Srihari UG Scholar, Dept. of MCT Mahatma Gandhi Institute of Technology., Hyderabad, Telangana, India. Author
  • K RaviKiran UG Scholar, Dept. of MCT Mahatma Gandhi Institute of Technology., Hyderabad, Telangana, India. Author
  • K Shiva Teja UG Scholar, Dept. of MCT Mahatma Gandhi Institute of Technology., Hyderabad, Telangana, India. Author
  • Dr. K Santosh Kumar Assistant Professor, Dept. of Mechanical Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0249

Keywords:

Propeller-Type Climbing Robot, Propeller Thrust Force, Design Aspects, Autonomous

Abstract

Garbage disposal is one of the challenging issues today in urban society, where incorrect segregation of 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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Published

2025-04-23

How to Cite

Adaptive Wall-Climbing Robot: Precision, Agility and Versatility. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1730-1735. https://doi.org/10.47392/IRJAEH.2025.0249

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