Papers
8
Total Citations
163
H-Index
6
About
Dr. Tengwei Song is a pioneering researcher whose work bridges the frontiers of bio-inspired robotics, intelligent control, and advanced sensing technologies. His research portfolio spans adaptive neural network control for manipulators, the biomechanics of magnetotactic bacteria, and the development of smart bionic micro-robots for biomedical applications. Notably, his most cited work, "Adaptive control of manipulator based on neural network" (2020, 54 citations), has significantly advanced autonomous robotic manipulation. Dr. Song’s groundbreaking study on magnetotactic bacteria with dual flagellar bundles (2012, 30 citations) elucidated their unique motion mechanisms, while his subsequent research demonstrated their potential for targeted neuroblastoma inhibition under alternating magnetic fields (2022, 29 citations). He has also innovated in wearable technology with a 3D-printed flexible triboelectric sensor for material perception (2025, 20 citations) and enhanced service robot localization in challenging environments (2023, 16 citations). With over 160 cumulative citations across diverse applications—from path planning for material transfer robots to real-time semantic segmentation—Dr. Song’s interdisciplinary contributions are shaping the future of intelligent robotics and biomedical micro-devices.
Research Focus
Key Achievements
Top Papers
- 1Adaptive control of manipulator based on neural network54 citations · 2020
- 2
- 3
- 4
- 5
- 6Parallel segmentation network for real-time semantic segmentation9 citations · 2025
- 7
- 8Wireless Measurement and Control System for a Novel Bionic Micro-Robot2 citations · 2010