Kristoffer Clyde Magsino
Papers
1
Total Citations
6
H-Index
1
About
Kristoffer Clyde Magsino is a researcher whose work bridges the frontiers of adaptive control, robotics, and smart actuator systems. His most cited paper, "Force estimation using piezoelectric actuator with adaptive control" (2009, 6 citations), introduces a novel method for estimating external forces applied at the tip of a robotic arm. By leveraging a piezoelectric actuator as a linear motor, Magsino’s approach elegantly separates the disturbance system into two components: the external force and the design trajectory track. This innovation enables precise force estimation without the need for additional sensors, offering a cost-effective and efficient solution for robotic manipulation. His contributions are particularly impactful in the development of adaptive control strategies for flexible and precise robotic systems, with applications ranging from industrial automation to assistive technologies. While his citation count reflects the specialized nature of his work, Magsino’s research lays critical groundwork for advancing force-sensing capabilities in robotics, demonstrating how adaptive control can enhance the performance and safety of human-robot interactions.
Research Focus
Key Achievements
Top Papers
- 1Force estimation using piezoelectric actuator with adaptive control6 citations · 2009