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Haiyang Han is a pioneering researcher in robotic manipulation, specializing in the control of multi-fingered robot hands and soft-robotic grasping. His work addresses fundamental challenges in dexterous manipulation, particularly when system parameters—such as Jacobian matrices or contact geometries—are uncertain or imprecise. Han’s most-cited paper (2002, 39 citations) introduces a task-space control framework for multifingered hands with uncertain Jacobians, eliminating the need for exact knowledge of contact points or object geometry. This breakthrough enables more robust and practical robotic grasping in unstructured environments. He further advanced the field with research on dynamic pinch stabilization using soft, deformable fingertips (2002, 26 citations), where he developed optical sensory feedback systems to achieve stable, real-time control. His principle of superposition for controlling pinch motions (2000, 20 citations) provides a foundational method for coordinating multiple fingers with soft tips, while his work on stable grasping and posture control (2001, 6 citations) extends these ideas to posture regulation. Collectively, Han’s contributions have shaped modern approaches to adaptive, sensor-driven robotic manipulation, with direct applications in prosthetics, industrial automation, and human-robot interaction.