Jasmine Cheng
Papers
1
Total Citations
8
H-Index
1
About
Dr. Jasmine Cheng is a leading researcher in human-robot interaction and teleoperation, with a focus on developing intuitive frameworks for mobile robot navigation. Her most cited work, "An Intention Guided Hierarchical Framework for Trajectory-based Teleoperation of Mobile Robots" (2021, 8 citations), introduces a novel hierarchical system that interprets and integrates an operator’s dual intentions—local obstacle avoidance and long-horizon path planning—into seamless trajectory generation. This contribution addresses a critical challenge in human-in-the-loop navigation by reducing cognitive load and improving task efficiency. Cheng’s research bridges the gap between human decision-making and autonomous control, enabling more natural and effective teleoperation in dynamic environments. Her work has been recognized for its potential in applications ranging from search-and-rescue to industrial automation, where precise, intention-aware robot guidance is essential. With a growing citation impact, Dr. Cheng continues to advance the field by designing systems that harmonize human intent with robotic autonomy, making her a notable figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1