Shanghai Jiao Tong University
🇨🇳 CN
Papers
3,359
Total Citations
75,701
H-Index
105
Researchers
4,402
About
Shanghai Jiao Tong University (SJTU) stands at the forefront of robotics, artificial intelligence, and advanced materials research, establishing itself as one of China's most influential technical institutions with global reach. Its research portfolio spans an impressive breadth — from cutting-edge computer vision and pose estimation to pioneering work in soft robotics, medical robotics, and intelligent sensing — making it a uniquely interdisciplinary powerhouse for prospective students and collaborators alike. SJTU's contributions to robotics and AI are both foundational and far-reaching. The university produced DenseFusion, a landmark 2019 paper on 6D object pose estimation from RGB-D data that has amassed over 1,100 citations and remains a benchmark reference in robot perception. Complementing this, SJTU researchers have advanced soft robotics dramatically, developing soft wall-climbing robots, stiffness-tunable actuators via multi-material 3D printing, and stretchable synaptic transistors that mimic neurological function — collectively representing a vision of robots that are adaptive, compliant, and biologically inspired. Their work on dielectric elastomer actuators and conducting polymer hydrogel strain sensors has shaped the physical foundations of next-generation soft machines. Beyond hardware, SJTU has made notable strides in medical robotics, with a highly cited decade retrospective and clinical evidence from randomized controlled trials comparing robotic and laparoscopic surgical systems. Their M2DGR SLAM dataset and small object detection survey further underscore strengths in autonomous navigation and computer vision. With interdisciplinary labs bridging materials science, surgical robotics, and intelligent manufacturing, SJTU offers collaborators an ecosystem where fundamental science meets real-world deployment — a rare and compelling combination in today's robotics landscape.
Research Focus
Key Achievements
Top Papers
- 1DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion1,121 citations · 2019
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- 3Soft wall-climbing robots663 citations · 2018
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- 6A decade retrospective of medical robotics research from 2010 to 2020479 citations · 2021
- 7A survey on dielectric elastomer actuators for soft robots471 citations · 2017
- 8
- 9A review of key techniques of vision-based control for harvesting robot394 citations · 2016
- 10Flexible Noncontact Sensing for Human–Machine Interaction377 citations · 2021
Faculty & Researchers
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