Papers

5

Total Citations

61

H-Index

4

About

Songtao Liu is a researcher whose work bridges robotics and energy storage, with key contributions in autonomous navigation and solid-state battery design. In robotics, Liu developed a submap-based indoor navigation system for the Fetch robot, enabling reliable localization and mapping in large-scale environments—a framework that has garnered 11 citations for its practical approach to embedded control and SLAM integration. This work, alongside related studies on SLAM-based navigation for indoor mobile robots (5 citations), demonstrates Liu’s focus on real-world autonomy solutions. Notably, Liu also ventured into mechanics with a theoretical analysis of pressure angles in parallel mechanisms (4 citations), extending concepts from planar to spatial systems. More recently, Liu’s research has shifted toward energy innovation, with a 2022 paper on customizable solid-state batteries (35 citations) that proposes shape-conformal and structural power supplies—a breakthrough for flexible electronics. This work highlights Liu’s versatility and impact, with the battery paper already becoming the most cited. Overall, Liu’s career reflects a commitment to solving practical challenges, from robot navigation to next-generation energy storage, making their research valuable for students and engineers alike.

Research Focus

Key Achievements

4
H-Index
5
Papers
61
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Customizable solid-state batteries toward shape-conformal and structural power supplies
35 citations · 2022
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Huazhong University of Science and Technology, China Electronics Technology Group Corporation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago