Lianhao Yin is a postdoc associate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT, working with Prof. Daniela Rus. Before that, he worked in the automotive industry and obtained his Ph. D from Lund University, Sweden, advised by Prof. Per Tunestål and Prof. Rolf Johansson
My vision is to develop collective physical intelligence inspired by collective behaviours observed in nature and human interactions, significantly contributing to foundational theories and practical robotic systems. This collective intelligence will facilitate cooperation among humans, robots, and nature, dramatically extending human capabilities, enhancing skills, and transforming applications across various domains such as everyday life, industrial environments, healthcare facilities, environmental monitoring, and beyond.
My research approach involves three key stages:
Observe and understand biological swarms in nature: I aim to deepen our understanding of collective behaviours in natural systems by constructing advanced models and theories. This involves interdisciplinary collaboration to explore intrinsic principles governing biological swarm behaviours.
Derive novel machine learning/control methodologies: Leveraging insights from nature, I will develop structured machine learning methods capable of spatial and temporal reasoning, memory incorporation, and adaptive physical interactions.
Practical application: Finally, I will apply these theories and methods to facilitate human-robot, robot-robot, and robot-nature interactions. This research will yield impactful solutions for industrial, healthcare, and everyday scenarios.