Ping-En Cheng

Chien Hsin University of Science and Technology

Papers

Total Citations

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About

Ping-En Cheng is a researcher at the forefront of applying machine learning to environmental robotics, with a focus on intelligent waste management and recycling automation. His most-cited work, "The robot for recycling based on machine learning" (2018), addresses a critical real-world problem: the labor-intensive and time-consuming task of cleaning and sorting trash after large-scale events. Cheng’s major contribution lies in designing a robot that can automatically identify and categorize recyclable objects, such as bottles and cans, thereby aiding environmental protection and reducing pollution. This work, which has garnered 4 citations, represents an early and practical integration of AI into sustainable infrastructure. By targeting the specific challenge of post-event waste accumulation, Cheng’s research demonstrates how robotics and machine learning can streamline recycling processes, reduce human effort, and promote cleaner public spaces. His efforts highlight the potential for autonomous systems to support sustainability goals, making him a notable figure in the growing field of eco-friendly robotics. For students and researchers, Cheng’s work offers a compelling example of how technical innovation can directly address pressing environmental issues.