Bowen Xie
Papers
1
Total Citations
6
H-Index
1
About
Bowen Xie is a researcher at the forefront of robotic teleoperation and human-robot interaction, with a focus on overcoming the challenges of high-latency communication. His most-cited work, "A Generative Model-Based Predictive Display for Robotic Teleoperation" (2021), introduces a novel approach that leverages generative models to render photo-realistic, real-time predictive displays from remote RGB-D data. This innovation allows human operators to maintain situational awareness and precise control even over delayed links, addressing a critical bottleneck in remote robotics. By blending computer vision and generative AI, Xie’s contributions enable safer and more intuitive teleoperation for applications ranging from space exploration to telesurgery. With 6 citations on his seminal paper, his work is gaining traction as a foundational step toward robust, latency-tolerant robotic systems. Xie’s research not only advances practical teleoperation but also opens new avenues for integrating generative models into interactive robotics, marking him as an emerging voice in the field.
Research Focus
Key Achievements
Top Papers
- 1A Generative Model-Based Predictive Display for Robotic Teleoperation6 citations · 2021