Calvin Teh Jon Keith
Papers
1
Total Citations
2
H-Index
1
About
Calvin Teh Jon Keith is a robotics researcher whose work bridges the gap between mechanical design and intelligent motion control. His primary research areas include articulated robotic systems, human-robot interaction, and the application of robotics in sports and medical rehabilitation. His most notable contribution, "Design And Control of an Articulated Robotic Arm for Archery" (2022), demonstrates how robots can replicate complex human movements with precision—an achievement that has garnered attention for its potential to transform both athletic training and assistive technologies. With 2 citations to date, this work stands as a foundational proof-of-concept for integrating robotics into skill-based human activities. Teh’s research is particularly significant for its focus on making robotic systems accessible and practical for real-world applications, from warehouse automation to therapeutic motion assistance. By exploring how articulated arms can mimic human perspectives and actions, he is helping to shape a future where robots not only perform repetitive tasks but also engage in nuanced, goal-oriented behaviors. His work inspires students and researchers to consider the broader societal impacts of robotics beyond traditional industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Design And Control of an Articulated Robotic Arm for Archery2 citations · 2022