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Adaptive Wheel for Climbing Robot
ME-A-07
Daniel Zaidel; danieza2@ac.sce.ac.il Oren Hassan; orenha1@ac.sce.ac.il
Advisors: Dr. Shayke Bilu1, Mr. Yogev Attias1 1SCE - Shamoon College of Engineering, Ashdod
This project introduces the conceptual design of a climbing robot equipped with adaptive wheels that enhance mobility on staircases in multilevel environments. This robotic system is intended for accessibility, logistics, and surveillance applications. The primary innovation lies in the wheel architecture-each wheel integrates multiple radial arms that dynamically adjust to the geometry of each stair step. These movements ensure consistent grip and motion stability. The wheels’ design parameters, such as arm curvature and contact angles, were optimized using analytical and geometric modeling. Incorporating feedback from sensors and control algorithms enables terrain adaptability and autonomous operation. This mechanical solution emphasizes reliability, cost-effectiveness, and modularity, supporting potential deployment in urban infrastructure, industrial zones, and assistive mobility systems.
Keywords: accessibility systems, adaptive wheels, mechanical design, robotic mobility, stair-climbing robot
Autonomous Composter
ME-A-08
Ron Kehat; ronkehat@gmail.com Michael Roberman; mikeroberman@gmail.com
Advisors: Dr. Shayke Bilu1, Mr. Avi Mor1 1SCE - Shamoon College of Engineering, Ashdod
Landfilling food waste poses significant environmental and logistical challenges by consuming valuable space, decomposing slowly by anaerobic processes, and releasing greenhouse gases. Tumbling composters offer a more sustainable alternative, however, they require frequent manual intervention and provide no feedback—quashing widespread adoption. This project offers a smart composting system mounted on existing bins, designed to simplify and partially automate the process. A network of sensors monitors the temperature and humidity conditions within the organic mixture and responds by adjusting the airflow, adding moisture, or mixing as needed. Our system is also able to visualize data trends over time. When a manual intervention is required, the system alerts the user. This smart process makes composting more viable and consistent.
Keywords: automated composting, composting control, environmental impact, organic waste, recycling