Jedidiah Paterson

Papers

Total Citations

H-Index

About

Jedidiah Paterson is a researcher at the forefront of accessible human-robot interaction, with a primary focus on low-cost, computer vision-driven robotic systems. His most cited work, "Gesture-Controlled Robotic Arm Utilizing OpenCV" (2021, 17 citations), presents a groundbreaking approach to Human-Computer Interaction (HCI) by developing a 3D-printed robotic arm controlled entirely through hand gestures captured by a single, standard USB2.0 HD camera. This work is notable for its emphasis on affordability and simplicity, demonstrating that sophisticated gesture recognition can be achieved without expensive, specialized hardware. Paterson’s major contribution lies in democratizing robotic control, making it more accessible for educational settings, hobbyists, and researchers with limited budgets. By leveraging OpenCV for real-time hand tracking, his system reduces the barrier to entry for exploring advanced HCI concepts. His research highlights the potential of combining 3D printing with computer vision to create practical, low-cost solutions, positioning him as an innovator in making robotics more inclusive and widely deployable.