Papers
1
Total Citations
3
H-Index
1
About
Sijia Su is a researcher at the forefront of underwater teleoperation systems, specializing in the integration of haptic feedback and human-robot interaction to enhance remote manipulation in challenging aquatic environments. Her most-cited work, "A Hybrid Workspace Mapping Method Based on Force Feedback for Underwater Teleoperation Systems" (2023), introduces a novel approach that combines kinematic and dynamic mapping to improve operator precision and reduce cognitive load during deep-sea tasks. This method, which has garnered 3 citations, addresses critical challenges in force feedback fidelity and workspace alignment, offering a practical solution for subsea exploration, maintenance, and rescue operations. Su’s contributions are particularly notable for bridging the gap between theoretical control algorithms and real-world underwater applications, where communication delays and environmental uncertainties are prevalent. Her research holds promise for advancing autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), with potential impacts on marine science, offshore energy, and defense sectors. As an emerging voice in teleoperation and haptics, Su’s work underscores the importance of intuitive human-machine interfaces in extreme environments, laying groundwork for safer and more efficient underwater interventions.
Research Focus
Key Achievements
Top Papers
- 1