Papers
14
Total Citations
935
H-Index
10
About
Jiankai Sun is a versatile AI and robotics researcher whose work spans computer vision, robot perception, foundation models, and imitation learning. His research addresses some of the most pressing challenges in enabling machines to understand and navigate complex real-world environments. Sun's 2020 paper on Cross-View Semantic Segmentation (277 citations) introduced a groundbreaking visual task that enhances robots' spatial awareness of their surroundings, while his CamNet framework (138 citations) advanced camera re-localization through innovative coarse-to-fine retrieval methods critical for autonomous driving and robotics. Sun has also emerged as a leading voice on the transformative potential of large AI and foundation models, contributing highly influential surveys on their applications in health informatics (224 citations) and robotics (163 citations) — fields where his insights are shaping research agendas globally. His work on MimicPlay pioneered more data-efficient long-horizon robot manipulation through human play demonstrations, and his contributions to adversarial inverse reinforcement learning further demonstrate his breadth across learning paradigms. With over 900 cumulative citations, Sun represents a rising force bridging theoretical AI advances with tangible robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Cross-View Semantic Segmentation for Sensing Surroundings277 citations · 2020
- 2Large AI Models in Health Informatics: Applications, Challenges, and the Future224 citations · 2023
- 3Foundation models in robotics: Applications, challenges, and the future163 citations · 2024
- 4CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization138 citations · 2019
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- 6MimicPlay: Long-Horizon Imitation Learning by Watching Human Play24 citations · 2023
- 7
- 8Transferable Active Grasping and Real Embodied Dataset19 citations · 2020
- 9Foundation Models in Robotics: Applications, Challenges, and the Future13 citations · 2023
- 10