Toru Lin

Papers

Total Citations

H-Index

About

Toru Lin is a leading researcher in humanoid robotics, specializing in whole-body control, locomotion, and dexterous manipulation. His most impactful work, "HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots" (2025, 12 citations), introduces a unified neural framework that enables humanoid robots to seamlessly transition between diverse tasks—from navigation and loco-manipulation to tabletop manipulation—by dynamically switching control modes. This breakthrough addresses a critical challenge in robotics: the need for adaptive, task-specific control without retraining. Lin’s contributions have significantly advanced the field by demonstrating how neural networks can generalize across different operational contexts, reducing the gap between simulation and real-world deployment. His work is widely recognized for its practical implications in industrial automation, assistive robotics, and human-robot interaction. With a growing citation record and a focus on scalable, versatile control systems, Lin continues to shape the future of humanoid robotics, inspiring both students and researchers to explore new frontiers in embodied AI.