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
Top Papers
- 1
- 2Submap-Based Indoor Navigation System for the Fetch Robot11 citations · 2020
- 3Indoor Navigation System Using the Fetch Robot6 citations · 2019
- 4
- 5Pressure angle in parallel mechanisms: From planar to spatial4 citations · 2016