Papers
2
Total Citations
111
H-Index
2
About
Qingquan Liu is a leading researcher in soft robotics and modular self-assembly systems, with a focus on developing intelligent, bio-inspired materials and algorithms. His most influential work, the 2021 paper on asymmetric bilayer carbon nanotube-elastomer/hydrogel composites, has garnered 106 citations for its breakthrough in creating soft actuators with integrated sensing capabilities. This innovation bridges the gap between actuation and environmental perception, enabling more responsive and adaptive soft robotic systems. Liu has also made significant contributions to modular robotics, notably through his work on parallel self-assembly planning algorithms. His 2021 paper on efficient, obstacle-aware self-assembly addresses a critical limitation in the field—enabling modular robots to coordinate and reconfigure in complex, real-world environments rather than idealized obstacle-free spaces. This work advances the practical deployment of self-reconfiguring robots for search-and-rescue, manufacturing, and exploration. Liu’s research sits at the intersection of materials science, mechanical engineering, and robotics, and his contributions are shaping the next generation of soft, autonomous, and reconfigurable robotic systems.
Research Focus
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Top Papers
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