Papers
12
Total Citations
315
H-Index
9
About
Da Sun is a robotics researcher whose work sits at the intersection of teleoperation, human-robot interaction, and intelligent control systems. With a strong focus on bilateral and multilateral teleoperation, Sun has made significant contributions to how humans remotely control robotic systems with greater precision, safety, and immersion. His 2020 paper introducing a mixed-reality-based teleoperation system, which has garnered 93 citations, demonstrated how virtual reality could be integrated with physical feedback to dramatically enhance operator telepresence and maneuverability. Complementing this, his work on bilateral telerobotic systems employing Type-2 fuzzy neural networks and moving horizon estimation — cited 45 times — addressed the critical challenge of environmental force compliance and human sensory perception in remote manipulation. Sun's research extends to bimanual teleoperation, reconfigurable robotic systems, shared autonomy control, and imitation learning through fuzzy model-based movement primitives, reflecting a remarkably broad yet cohesive research vision. His explorations into manipulability on Riemannian manifolds and real-time multi-arm coordination underscore a growing interest in dexterous, autonomous robotic behavior. Across his body of work, Sun consistently bridges theoretical rigor with practical application, making meaningful advances in robot skill transfer, intelligent control, and human-robot collaboration that continue to influence the robotics research community.
Research Focus
Key Achievements
Top Papers
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- 3Single Master Bimanual Teleoperation System With Efficient Regulation45 citations · 2020
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- 5Type-2 Fuzzy Model-Based Movement Primitives for Imitation Learning21 citations · 2022
- 6Asymmetric Bilateral Telerobotic System With Shared Autonomy Control18 citations · 2020
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