Langlang Sun
Papers
1
Total Citations
8
H-Index
1
About
Langlang Sun is a pioneering researcher in the field of robotics, with a primary focus on the modeling, control, and integration of rigid-soft hybrid robotic systems. Their most notable contribution is the development of a novel modeling and data-driven control framework for rigid-soft hybrid robots, which combines visual servoing to enhance both precision and safe human-robot interaction. In their highly cited 2023 paper, Sun introduced a series-connected system where a soft robot is attached to a six-degree-of-freedom rigid robot, effectively bridging the gap between rigid accuracy and soft compliance. This work has already garnered 8 citations, reflecting its growing influence in the robotics community. By addressing the coupling challenges inherent in hybrid structures, Sun’s research enables more adaptive and reliable robots for applications in manufacturing, healthcare, and assistive technologies. Their achievements highlight a commitment to advancing robotic dexterity and safety, making them a notable figure in the emerging field of rigid-soft robotics.
Research Focus
Key Achievements
Top Papers
- 1