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Yunlai Wang is a pioneering researcher in the field of robotic manipulation and motion planning, with a focus on dual-arm coordination, space robotics, and human-robot teleoperation. His most impactful work, "A Fast Coordinated Motion Planning Method for Dual-Arm Robot Based on Parallel Constrained DDP" (2023, 26 citations), introduces a groundbreaking optimization-based approach using parallel differential dynamic programming (DDP) to enable safe and efficient coordinated motion in constrained environments. This work is foundational for advancing dual-arm robot dexterity in complex tasks. Wang further extends this line of research with "A Convergence Guaranteed Multiple-Shooting DDP Method for Optimization-Based Robot Motion Planning" (2024), which provides theoretical guarantees for solving high-dimensional manipulation problems. In space robotics, his study on "Human-like acceleration and deceleration control of a robot astronaut floating in a space station" (2024) demonstrates innovative control strategies for autonomous agents in microgravity. Most recently, his 2025 paper on "A Novel Hand Teleoperation Method with Force and Vibrotactile Feedback" enhances operator immersion and compliant grasping, pushing the boundaries of telepresence. With a growing citation footprint, Wang’s work is shaping the future of autonomous and teleoperated robotic systems, from industrial assembly lines to orbital stations.