Papers
3
Total Citations
79
H-Index
3
About
Xudong Yu is a pioneering researcher at the intersection of robotics and education, best known for advancing hands-on, multidisciplinary learning through accessible robotic platforms. His most influential work, "A Multidisciplinary Model For Using Robotics In Engineering Education" (2020, 60 citations), demonstrates how inexpensive robot kits can integrate electrical engineering, mechanical design, and computer science into a unified pedagogical tool—making robotics education no longer a prohibitively expensive proposition. Yu also contributes to the technical frontier of legged locomotion, as seen in his recent study on "Fall prediction, control, and recovery of quadruped robots" (2024, 11 citations), which addresses critical safety and stability challenges in dynamic environments. Additionally, his guest editorial "Robotics in education: new platforms and environments" (2003, 8 citations) helped shape early discourse on emerging educational technologies. By bridging practical robotics hardware with curriculum design and advanced control theory, Yu’s work empowers students and researchers alike to build, program, and recover robots—fostering the next generation of engineers through affordable, real-world experimentation.
Research Focus
Key Achievements
Top Papers
- 1A Multidisciplinary Model For Using Robotics In Engineering Education60 citations · 2020
- 2Fall prediction, control, and recovery of quadruped robots11 citations · 2024
- 3