Jingkai Liang
Papers
1
Total Citations
3
H-Index
1
About
Jingkai Liang is a rising researcher in the field of robotics and control systems, with a primary focus on reconfigurable robot dynamics, optimal control, and event-triggered strategies. His work addresses the complex challenges of coordinated multi-joint operations, particularly through the lens of game theory and mixed nonzero-sum games. Liang’s most cited paper, “Event-triggered-based optimal control for reconfigurable robot via mixed nonzero-sum game” (2025, 3 citations), introduces a novel approach that maps contact forces from the end-effector to individual joints using joint task assignment, enabling more efficient and stable coordinated control. This contribution is significant for advancing adaptive and energy-efficient robotic systems, especially in dynamic environments where real-time decision-making is critical. Though early in his career, Liang’s integration of event-triggered mechanisms with game-theoretic frameworks marks a notable step forward in reconfigurable robot control. His work holds promise for applications in manufacturing, collaborative robotics, and autonomous systems, positioning him as an emerging voice in modern control theory and robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1