Yingdong Rao

Birla Institute of Technology and Science - Hyderabad Campus

Papers

Total Citations

H-Index

About

Yingdong Rao is a robotics researcher whose work bridges bioinspired design and medical automation. His key research areas include climbing robotics and computer vision–guided surgical systems. Rao’s most notable contribution is the development of a bioinspired pole climbing robot (2016, 11 citations), which innovatively eliminates the need for DC motors—a departure from conventional climbing robots. This design offers a simpler, more energy-efficient approach to pipe climbing, with potential applications in inspection and maintenance. In parallel, Rao has advanced dental robotics through two influential papers: “Automation of end effector guidance of robotic arm for dental implantation using computer vision” (2016, 10 citations) and “Robotics in Dental Implantation” (2017, 6 citations). These works address the high-precision task of drilling holes in the jaw, proposing robotic systems that reduce human dexterity demands and improve procedural safety. By integrating computer vision for real-time guidance, Rao’s research enhances accuracy in implant placement. Though his citation counts are modest, his contributions are notable for their practical impact—offering low-cost, motor-free climbing solutions and automating critical steps in dental surgery. Rao’s work exemplifies how robotics can solve real-world challenges in both industrial and clinical settings.