Detalles del proyecto
Description
The scientific objective of this career proposal is to develop adaptive and intelligent human arm motion
imitation and argumentation strategies for robotic arms. Four research goals are proposed: (1) Develop an
efficient and intuitive method for human arm motion imitation of arbitrary robotic arms. (2) Save human
operators’ efforts in real-time human arm motion imitation through integration of human arm motion
prediction. (3) Avoid obstacles successfully in real-time human arm motion imitation through integration
of autonomous motion planning. (4) Develop a generalizable robot imitation learning method for new tasks
with constraints and environments with novel obstacles. The outcomes of these research goals will
significantly improve the effectiveness, efficiency, user-friendliness, and safety of real-time human arm
motion imitation and imitation learning of robotic arms. My long-term educational goal is to use role models
to improve the performance and interest of underrepresented students in STEM. To achieve this goal, at the
K12 level, the PI will collaborate with two local high schools to provide demonstrations, robotics lectures,
and research opportunities for their students. At the undergraduate level, the PI will collaborate with the
Kentucky State University Peer-Led Team Learning (PLTL) Program and the University of Kentucky ECE
Undergraduate Research Fellowship (URF) program to provide research opportunities for underrepresented
students. At the graduate level, the PI will incorporate research activities into Introduction to Robotics
course and collaborate with IEEE Robotics and Automation Society Robotics and Foundation Cluster to
organize seasonal schools. This career proposal puts forward an original and well-integrated research and
education plan that will build a solid foundation for the PI’s future leadership in robotics research and
education.
| Estado | Activo |
|---|---|
| Fecha de inicio/Fecha fin | 9/1/25 → 8/30/30 |
Financiación
- National Science Foundation: 602.698,00 US$
Huella digital
Explore los temas de investigación que se abordan en este proyecto. Estas etiquetas se generan con base en las adjudicaciones/concesiones subyacentes. Juntos, forma una huella digital única.