Liqiong Tang

About

Liqiong Tang is a multidisciplinary robotics and biomedical engineering researcher whose work spans human-machine interfaces, agricultural automation, and intelligent robotic systems. Best known for foundational contributions to biomedical signal processing, Tang's highly cited work on surface EMG signal amplification and filtering (2013, 126 citations) established critical methodological groundwork for rehabilitation engineering and clinical diagnostics, making it an essential reference in electromyography research worldwide. Beyond biomedical applications, Tang has made significant strides in agricultural and field robotics, developing GPS-guided mobile platforms capable of autonomous farm mapping, waypoint tracking, and land management across challenging environments. A particularly distinctive strand of Tang's research focuses on tree-climbing robotics, with multiple publications advancing novel anti-falling mechanisms and fuzzy logic-based tilting control for tree pruning robots — engineering solutions addressing real-world safety and operational challenges in arboriculture. More recently, Tang has explored machine learning-driven robotic grasping, proposing innovative three-stage methodologies enabling robots to handle previously unseen objects using depth data and computer vision. Tang also bridges robotics with human intent through myoelectric pattern recognition systems for anthropomorphic robotic hand control. Collectively, this body of work reflects a career dedicated to translating intelligent systems research into practical, real-world robotic applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Surface EMG Signal Amplification and Filtering

   126 citations · 2013
2. 2
   A Novel Robotic Tree Climbing Mechanism With Anti-Falling Functionality for Tree Pruning

   32 citations · 2017
3. 3
   GPS-guided modular design mobile robot platform for agricultural applications

   11 citations · 2013
4. 4
   A novel design of anti-falling mechanism for tree pruning robot

   9 citations · 2015
5. 5
   A 3-Stage Machine Learning-Based Novel Object Grasping Methodology

   8 citations · 2020
6. 6
   Anti-falling tree climbing mechanism optimization

   8 citations · 2017
7. 7
   Tree pruning robot tilting control using fuzzy logic

   6 citations · 2017
8. 8
   Pattern Recognition-Based Real Time Myoelectric System for Robotic Hand Control

   6 citations · 2019
9. 9
   Towards the autonomous robotic gripping and handling of novel objects

   4 citations · 2019
10. 10
    GPS guided farm mapping and waypoint tracking mobile robotic system

    3 citations · 2014

Key Collaborators

Contact & Links