Shuangliang Li

Texas A&M University

Papers

2

Total Citations

6

H-Index

2

About

Shuangliang Li is a pioneering roboticist whose work centers on advancing pretouch sensing for robotic grasping—a critical capability for machines to interact safely and intelligently with their environment. His major contributions lie in developing dual-modal, dual-mechanism sensors that combine ultrasound and optoacoustic or full-optical modalities to enable near-distance ranging and material discrimination. Li’s first-generation G3 sensor, published in 2023, introduced a fingertip-mounted design that fuses pulse-echo ultrasound with optoacoustics, achieving four citations as an early proof-of-concept. Building on this, his 2025 PDM² sensor represents a leap forward: a fully optical system using an air-coupled fiber-tip surface micromachined optical ultrasound transducer (SMOUT), eliminating the need for bulky piezoelectric receivers. This innovation enhances sensitivity and miniaturization, with two citations already signaling growing interest. Li’s work is notable for bridging the gap between sensing modality and practical dexterous manipulation, offering robots a “pretouch” sense akin to human proximity perception. His sensors promise to transform applications from industrial automation to assistive robotics, marking him as a rising leader in multimodal tactile sensing.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The Third Generation (G3) Dual-Modal and Dual Sensing Mechanisms (DMDSM) Pretouch Sensor for Robotic Grasping
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Texas A&M University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago