Emil Lykke Diget
Papers
1
Total Citations
2
H-Index
1
About
Emil Lykke Diget is a researcher focused on advancing robotic manipulation through the integration of flexible tool dynamics and state estimation. His primary research areas include contact estimation, unknown input observers, and control strategies for deformable robotic tools. Diget’s major contribution lies in developing estimators for contact point and surface normal information, which are critical for precise control when robots use flexible tools—a challenging domain where rigid assumptions fail. By leveraging force and torque measurements at the robot’s base, his work enables accurate state inference of tool deformation without direct sensing at the contact point. Though early in his career, his 2022 paper on this topic has already garnered attention, accumulating 2 citations and laying groundwork for safer, more adaptive human-robot interaction and industrial automation. Diget’s approach bridges modeling and real-time control, offering practical solutions for tasks like deburring or assembly where tool flexibility is unavoidable. His research promises to expand the capabilities of robots in unstructured environments, making him a rising contributor to the fields of robotics and control systems.
Research Focus
Key Achievements
Top Papers
- 1