Zijian Liao

Tsinghua University, Research Institute of Precision Instruments (Russia)

Papers

Total Citations

155

H-Index

About

Zijian Liao is pioneering the frontier of robotic dexterity by fusing multimodal tactile sensing with vision, enabling robots to perform complex housekeeping tasks with human-like precision. His most influential work, “Multimodal tactile sensing fused with vision for dexterous robotic housekeeping,” has garnered 131 citations and addresses critical gaps in robotic perception for unstructured home environments. Liao’s breakthrough development of an ultralight, flexible six-axis force/torque sensor—detailed in his 2025 paper with 23 citations—represents a paradigm shift from bulky, rigid sensors, allowing for unprecedented fingertip manipulation in confined spaces. This innovation directly tackles the high-cost, complex manufacturing challenges that have long limited robotic tactile feedback. Additionally, his concept of Human-like Interactive Instinct (HINST) proposes a framework for robots to robustly accomplish universal tasks without extensive training, targeting the core issues of poor flexibility and practicality in current systems. Through these contributions, Liao is redefining the boundaries of what robots can achieve in daily life, moving from specialized laboratory demonstrations toward truly versatile, instinct-driven home assistants.