Ningtao Mao

Papers

Total Citations

H-Index

About

Ningtao Mao is a researcher at the forefront of haptic rendering and cross-modal perception for robotics. His primary research areas include vision-based haptic rendering, teleoperation, and human-robot interaction, where he seeks to bridge the gap between visual and tactile feedback. Mao’s most notable contribution is the development of **Vis2Hap**, a pioneering framework for vision-based haptic rendering by cross-modal generation. This work addresses a critical bottleneck in teleoperation: the scarcity of tactile sensor data. By enabling robots to generate realistic virtual touch sensations directly from visual input, Vis2Hap allows human operators to “feel” remote environments without specialized hardware. His most-cited paper (2023) has garnered 16 citations, signaling growing interest in this novel approach. Mao’s research has the potential to democratize haptic feedback, making it accessible for a wider range of robotic applications, from remote surgery to hazardous environment exploration. His work represents a significant step toward more intuitive and immersive teleoperation systems, where vision alone can unlock the sense of touch.