Papers
7
Total Citations
84
H-Index
5
About
Damien Kee is a pioneering researcher in educational robotics and humanoid robot design, whose work bridges the gap between advanced robotics and classroom learning. His most influential contribution, "Educational Robotics—Primary and Secondary Education" (34 citations), has shaped how robotics is integrated into K-12 curricula, providing a framework for hands-on STEM education that inspires young learners worldwide. In humanoid robotics, Kee made foundational contributions through the GuRoo project at the University of Queensland—a 1.2-meter, 23-degree-of-freedom humanoid robot. His research on autonomous humanoid design (16 citations) established key mechanical and control considerations for creating humanoid forms. Kee's innovative use of evolutionary algorithms for gait generation (10 citations) and joint control optimization (9 citations) demonstrated how genetic algorithms could simultaneously tune multiple joints to minimize tracking error. His biologically inspired control strategies (7 citations) and fuzzy associative memory approaches (5 citations) advanced the field of robot joint control by reducing reliance on accurate system modeling. Through this blend of technical innovation and educational impact, Kee has influenced both the engineering of humanoid robots and the pedagogical methods for teaching robotics to the next generation.
Research Focus
Key Achievements
Top Papers
- 1Educational Robotics—Primary and Secondary Education [Industrial Activities]34 citations · 2011
- 2Design of an autonomous humanoid robot16 citations · 2001
- 3Evolving a locus based gait for a humanoid robot10 citations · 2004
- 4Improved joint control using a genetic algorithm for a humanoid robot9 citations · 2003
- 5Biologically inspired joint control for a humanoid robot7 citations · 2005
- 6Fuzzy associative memory for humanoid robot joint control5 citations · 2005
- 7Cerebellar joint compensation for a humanoid robot3 citations · 2003