Boren Li

Beijing Academy of Artificial Intelligence, The Ohio State University, Beijing Institute for General Artificial Intelligence

Papers

Total Citations

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About

Boren Li is pioneering the frontier of human-like robotic manipulation, with a focus on endowing machines with the tactile intelligence and expressive capabilities needed for seamless human-robot interaction. His most impactful work, "Embedding high-resolution touch across robotic hands enables adaptive human-like grasping" (2025, 36 citations), addresses a core challenge in robotics: enabling hands to dynamically adapt to real-world objects. This contribution moves beyond traditional kinematics by integrating distributed tactile sensing, a critical step toward machines that can grasp and manipulate with human-like dexterity. Li’s research spans from the foundational to the futuristic. His early work on "Human-like robotic handwriting and drawing" (2013, 12 citations) explored trajectory planning for articulated arms, while his more recent "Driving Animatronic Robot Facial Expression From Speech" (2024, 9 citations) tackles the complex biomechanics of lifelike, speech-synchronized expressions. Further demonstrating his commitment to practical impact, his work on "Large-scale Deployment of Vision-based Tactile Sensors on Multi-fingered Grippers" (2024, 5 citations) pushes for scalable, high-resolution tactile sensing beyond the fingertip. By bridging high-resolution touch, expressive motion, and scalable sensing, Li is crafting a future where robots not only handle objects but also communicate and collaborate with a distinctly human-like finesse.