Papers
1
Total Citations
5
H-Index
1
About
Tlamelo Makati is a robotics researcher whose work bridges control theory and legged locomotion, with a particular focus on bipedal robots. His key research areas include modular control architectures, relative Jacobian methods, and bio-inspired robotic motion. Makati’s most notable contribution is his 2019 paper, “Investigating Modular Relative Jacobian Control for Bipedal Robot,” which has garnered 5 citations—a meaningful impact for a specialized, early-career study. In this work, he introduced a novel approach by adapting the modular relative Jacobian—a technique traditionally used for dual-arm manipulation—to control the two legs of a bipedal robot, treating the feet as end-effectors. This innovative cross-domain application offers a fresh framework for generating stable walking gaits, potentially simplifying control design and improving coordination. Makati’s work stands out for its creative synthesis of existing methods, opening new avenues for research in humanoid robotics. His achievements reflect a promising trajectory in advancing practical, efficient control strategies for legged systems, making his contributions valuable for students and researchers exploring modular, bio-inspired approaches to robot locomotion.
Research Focus
Key Achievements
Top Papers
- 1Investigating Modular Relative Jacobian Control for Bipedal Robot5 citations · 2019