Liangyu Zhao

Beijing Institute of Technology

Papers

3

Total Citations

45

H-Index

3

About

Liangyu Zhao is a robotics researcher whose work bridges perception, control, and tactile interaction for autonomous systems. His primary research areas include visual-inertial SLAM, impedance control for space robotics, and bioinspired soft tactile sensing. Zhao’s most impactful contribution is **PLD-VINS**, a visual-inertial SLAM system that fuses point and line features from RGB-D cameras to enhance localization and mapping robustness in low-texture environments (35 citations). This work addresses a critical limitation in traditional SLAM by leveraging geometric line features, improving performance in structured indoor settings. In space robotics, Zhao developed an **impedance-sliding mode controller with force constraints** for capturing non-cooperative objects, tackling the challenge of post-impact stabilization and safe on-orbit capture (7 citations). His recent work introduces a **tactile sensing system** based on a bioinspired self-sensing soft pneumatic actuator, enabling object recognition through contact force feedback (3 citations). This innovation supports safer physical human-robot interaction and dexterous manipulation. Zhao’s research demonstrates a clear trajectory from robust perception to adaptive control and tactile intelligence, with applications spanning autonomous navigation, space debris removal, and soft robotics. His work is particularly relevant for researchers advancing SLAM in degraded visual conditions and developing force-aware controllers for unstructured environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
45
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
PLD-VINS: RGBD visual-inertial SLAM with point and line features
35 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago