Friday, June 13, 2025
Bethpage High School sophomore Partap Sidhu was awarded 4th place in the category of Robotics and Intelligent Machines at the prestigious 75th annual Regeneron International Science and Engineering Fair. He is pictured here with Bethpage’s Director of Science, Mr. Chris Pollatos, Science Research teacher, Ms. Nicole Dulaney and Bethpage High School principal, Mr. Nick Jantz.
Photo courtesy of Bethpage Union Free School District
Bethpage Union Free School District is proud to announce that Bethpage High School sophomore Partap Sidhu was awarded fourth place in the category of Robotics and Intelligent Machines at the prestigious 75th annual Regeneron International Science and Engineering Fair (Regeneron ISEF), held in Columbus, Ohio.
This remarkable achievement comes with a $600 scholarship and an exclusive invitation from the College of Engineering at North Carolina State University to attend a residential summer engineering camp of his choice in the summer of 2026.
Regeneron ISEF, a program of the Society for Science, is the world’s largest global science competition for high school students. Now in its 75th year, the fair brings together top young scientists from around the world to compete for a share of nearly $9 million in awards and scholarships. Finalists are selected through a rigorous process involving a global network of local, regional and national science fairs.
Partap’s award-winning project, A Humanoid Upper Body for Automating Hazardous Tasks, addresses the critical need for safer solutions in high-risk work environments. With industries increasingly turning to robotics to perform dangerous tasks, they often face steep costs and technological limitations. Partap’s innovation seeks to change that landscape.
Built for just $897, Partap’s humanoid robot is a groundbreaking alternative to commercial models, which typically cost between $30,000 and $2.5 million. His design features quasi-direct drive actuators and incorporates machine learning, allowing it to adapt to a wide range of complex tasks. The system utilizes ROS2 (Robot Operating System 2) for real-time planning and an Intel Realsense 3D camera for precise position detection. A custom-trained Yolov10 object detection model boasts 97% average accuracy, and motor control is streamlined via a CAN-bus interface. The prototype successfully completed trials in both laboratory and recycling environments.
This exceptional project not only showcases Partap’s deep understanding of robotics and artificial intelligence but also reflects his commitment to creating cost-effective solutions to real-world problems.
To learn more about Partap’s project, visit: https://isef.net/project/robo029-humanoid-upper-body-for-automating-hazardous-tasks
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