Robotics REU header
Robot REU at a Glance
Research in Robotics for Assistive Technology
  • Robotic applications in assistive technology
  • Adaptive robotics
  • Wireless communications
  • Robotic manipulation
  • Human/machine interaction
  • Control systems
  • Dynamic modeling
  • Embedded systems
  • Research experience for undergraduates
  • Menomonie, Wisconsin
  • June 18 - August 10
  • Room, board and stipend provided
Application Deadline: March 15


  Dr. Devin Berg
  Director, Robotics REU
  Associate Professor of Engineering

  Dr. Cheng Liu
  Co-Director, Robotics REU
  Associate Professor of Engineering


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The Robotics for Assistive Technology Research Experience for Undergraduates (REU) at the University of Wisconsin-Stout (UW-Stout) aims to improve the technology which enables robotics to infiltrate our daily lives. Robots are becoming increasingly integrated into society, performing useful tasks in the home and elsewhere. The introduction of robotics and technology-supported environments will play a huge role in allowing elderly and people with physical disabilities to keep living a self-determined, independent life in their familiar surroundings. Individuals who are elderly or have a disability require novel approaches for communicating efficiently with robotic-assisted services in their living environments and even unstructured environment with safety and reliability. The development of such systems should be focused on cost effectiveness, ease of control, and safe operation, in order to enhance the autonomy and independence of such individuals, minimizing at the same time the necessity for a caregiver.

Students who participate in the Robotics for Assistive Technology REU will spend two months in beautiful Menomonie, Wisconsin, training under research mentors in electrical engineering, computer engineering, mechanical engineering, or vocational rehabilitation.

The challenges which face a meaningful integration of robots into society are many. 

 National Science Foundation logo 


Funded by the 

National Science Foundation

NSF CNS Award # 1560219