Ker-Jiun Wang

About

Ker-Jiun Wang is a pioneering researcher at the intersection of human-robot interaction (HRI), wearable robotics, and affective computing, whose work consistently pushes the boundaries of how humans and intelligent machines can coexist and communicate. His most influential contribution, a human-centered ergonomic wearable device integrating computer vision and augmented intelligence for smart home interaction (2019, 27 citations), exemplifies his signature approach: designing compact, seamless interfaces that bridge human intention and machine response. Wang has also made notable contributions to innovation strategy, with his "HRIpreneur Thinking" framework (2019, 20 citations) offering practical pathways for commercializing academic robotics research. His technical breadth spans fuzzy sliding mode impedance control for robotic manipulation, exoskeleton systems for neurorehabilitation, and biosignal-driven human-machine interfaces using eye saccade and facial electrophysiology. Particularly forward-looking is his work on affective robotics—developing soft robotic systems that simulate therapeutic touch (2024, 9 citations) and deep learning models that detect human emotions from brain signals. Wang's research portfolio, accumulating over 100 citations across a decade, reflects a cohesive and humanistic vision: technology that genuinely serves human emotional, physical, and cognitive well-being.

Research Focus

Key Achievements

Top Papers

1. 1
   Human-Centered, Ergonomic Wearable Device with Computer Vision Augmented Intelligence for VR Multimodal Human-Smart Home Object Interaction

   27 citations · 2019
2. 2
   HRIpreneur Thinking: Strategies Towards Faster Innovation and Commercialization of Academic HRI Research

   20 citations · 2019
3. 3
   Fuzzy Sliding Mode Joint Impedance Control for a tendon-driven robot hand performing peg-in-hole assembly

   12 citations · 2016
4. 4
   EXGbuds

   10 citations · 2018
5. 5
   Simulating the psychological and neural effects of affective touch with soft robotics: an experimental study

   9 citations · 2024
6. 6
   Toward a Wearable Affective Robot That Detects Human Emotions from Brain Signals by Using Deep Multi-Spectrogram Convolutional Neural Networks (Deep MS-CNN)

   9 citations · 2019
7. 7
   Jean Joseph v2.0 (REmotion): Make Remote Emotion Touchable, Seeable and Thinkable by Direct Brain-to-Brain Telepathy Neurohaptic Interface Empowered by Generative Adversarial Network

   8 citations · 2020
8. 8
   Human-robot symbiosis framework on exoskeleton devices

   5 citations · 2016
9. 9
   Human-machine interface using eye saccade and facial expression physiological signals to improve the maneuverability of wearable robots

   4 citations · 2017
10. 10
    Wearable robot for mental health intervention

    4 citations · 2019

Key Collaborators

Contact & Links