Inga Wang

University of Wisconsin–Milwaukee

Papers

15

Total Citations

186

H-Index

6

About

Inga Wang is a robotics researcher whose work sits at the intersection of assistive technology, rehabilitation engineering, and human-robot interaction. Her research focuses on two interconnected areas: developing robotic systems that restore independence for people with physical disabilities, and designing rehabilitation robots that support recovery for post-stroke patients. Wang's most influential contribution is her pioneering work on eye-gaze control of wheelchair-mounted 6DOF assistive robots, which has garnered over 68 citations and demonstrated how intuitive, non-invasive interfaces can empower individuals with severe motor impairments to perform everyday tasks autonomously. Complementing this, her work on chin and finger joystick control systems expands the range of accessible interfaces available to users with varying residual motor function. In rehabilitation robotics, Wang has made significant strides through the development of dual-functionality upper limb robots that combine exoskeleton and end-effector approaches, addressing a long-standing limitation in the field. Her more recent integration of brain-computer interface technology with robotic rehabilitation systems reflects a forward-thinking trajectory toward neurologically driven recovery tools. With a growing body of work accumulating nearly 180 citations, Wang is establishing herself as a meaningful contributor to assistive and rehabilitative robotics, ultimately advancing technology that can transform quality of life for individuals with disabilities.

Research Focus

Key Achievements

6
H-Index
15
Papers
186
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Eye-gaze control of a wheelchair mounted 6DOF assistive robot for activities of daily living
68 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: University of Wisconsin–Milwaukee

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago