Baoyong Zhao

University of Science and Technology Beijing

Papers

Total Citations

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About

Baoyong Zhao is a leading researcher in the field of nonlinear control systems, with a particular focus on teleoperation and adaptive control. His most-cited work, "Adaptive control of teleoperation systems with prescribed tracking performance: a BLF-based approach" (2020, 15 citations), introduces a novel Barrier Lyapunov Function (BLF) framework to guarantee both transient and steady-state tracking accuracy in bilateral teleoperation. This contribution is significant for enabling safer and more reliable human-robot interaction, especially in applications like telesurgery and remote manipulation. By designing innovative sliding variables, Zhao’s approach directly addresses the challenge of performance constraints—a critical step toward practical deployment of teleoperation systems. His work has been recognized for its theoretical rigor and practical relevance, laying a foundation for future advances in constrained adaptive control. With a growing citation impact, Zhao continues to shape the development of robust, high-performance control strategies for complex robotic systems.