Dailiang Shi

Northwestern Polytechnical University

Papers

1

Total Citations

5

H-Index

1

About

Dailiang Shi is a leading researcher in the fields of bilateral teleoperation, human-robot interaction, and intelligent control systems. Their most notable contribution is the development of a bilateral teleoperation system enhanced by a learning-based cognitive guiding force, which integrates fuzzy logic systems with a unified impedance/admittance structure. This innovative work, published in 2023 and garnering 5 citations, addresses the critical challenge of enabling smooth transitions between human-guided augmentation and autonomous motion on the master side, significantly improving operator experience and task efficiency. Shi’s research bridges the gap between cognitive assistance and robotic control, offering practical solutions for remote manipulation in hazardous or delicate environments. Their work is recognized for advancing the synergy between machine learning and teleoperation, with potential applications in surgery, space exploration, and industrial automation. As a rising scholar, Shi continues to shape the future of human-robot collaboration through rigorous theoretical frameworks and applied systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Bilateral Teleoperation System With Learning-Based Cognitive Guiding Force
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago