Galym Kaliyev
Papers
1
Total Citations
10
H-Index
1
About
Galym Kaliyev is a robotics researcher specializing in bipedal locomotion and balance control for lightweight humanoid robots. His work focuses on developing computationally efficient algorithms that enable stable walking and dynamic balance, addressing the fundamental challenge of real-time control in underactuated systems. His most cited paper, "Computational Efficient Balance Control for a Lightweight Biped Robot with Sensor Based ZMP Estimation" (2018, 10 citations), introduces a novel approach combining a Linear Inverted Pendulum (LIP) model with Zero Moment Point (ZMP) calculations to derive joint-space control actions via a PD controller. A key contribution is the direct estimation of the ZMP from sensor data, bypassing complex dynamics models to reduce computational load. This work is significant for advancing practical, real-time control in lightweight bipeds, where computational resources are limited. Kaliyev’s research has implications for assistive robotics, prosthetics, and autonomous exploration robots. With 10 citations, his paper is a foundational reference for engineers developing efficient balance controllers for agile, cost-effective humanoid platforms.
Research Focus
Key Achievements
Top Papers
- 1