• Sanjana G
• Sangeetha V
• S Arun Kumar
• Rameshwar
• Sanjana T Gadikar

This study looks at the many cleaner bot types that are utilized in classrooms, including robotic litter collectors, AI-powered waste segregators, and self-contained vacuum cleaners. It examines the underlying technologies that enable these bots to navigate a variety of environments and perform cleaning tasks, including computer vision, machine learning, and sensor integration. This poll also discusses the impact of cleaner bots on campus environments and how they can reduce operating costs, raise standards of hygiene, and promote environmentally conscious behavior. It also looks at the challenges these bots face, such as adaptability to changing surroundings, user acceptability, and energy efficiency.The report also makes recommendations for future research directions, emphasizing the need for advancements in AI algorithms, energy optimization, and human-robot interaction to maximize Campus Cleaner Bot's potential and acceptability.The main objective of this paper is to bridge the gap of knowledge between real world application and theory, readily available components. Adaptive manufacturing method was selected in order to reduce the cost for constructing a robot.The LIDAR sensor and webcam on the robot made it possible to create increasingly advanced methods. A low-level proportional-integral-derivative (PID) speed controller was coupled with a high-level controller that uses fake potential functions to generate repulsive components in order to prevent collisions with obstacles.

Arduino, Autonomous Navigation,Sensors, floor cleaning, Smart robot.

"SURVEY OF ROBOTIC VACUUM CLEANERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.a453-a459, January-2024, Available :http://www.jetir.org/papers/JETIR2401053.pdf

"SURVEY OF ROBOTIC VACUUM CLEANERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppa453-a459, January-2024, Available at : http://www.jetir.org/papers/JETIR2401053.pdf