Gamolped Prem
Papers
1
Total Citations
1
H-Index
1
About
Gamolped Prem is a researcher at the forefront of robotics and environmental sustainability, with a primary focus on intelligent waste management systems. Their most notable contribution is the development of the Kalman-YOLO framework, which significantly enhances the tracking performance of autonomous beach cleaning robots. By integrating a Kalman filter with the YOLO object detection algorithm, Prem’s work addresses the critical challenge of real-time, accurate garbage identification in dynamic coastal environments—a direct response to the escalating threat of ocean plastic pollution to marine life and human health. This innovative approach, detailed in their 2025 paper, has already garnered attention within the robotics community. Prem’s research bridges computer vision, control systems, and ecological conservation, offering a scalable solution for automated environmental cleanup. Their work stands as a promising step toward mitigating the global waste crisis, demonstrating how applied AI can drive tangible benefits for both technology and the planet.
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Top Papers
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