Matthew Francis Dickerman
Papers
1
Total Citations
15
H-Index
1
About
Matthew Francis Dickerman has made significant contributions to assistive robotics, with a primary focus on developing modular sensor systems that enhance the mobility and autonomy of powered wheelchairs. His most-cited work, "Development of modular sensors for semi-autonomous wheelchairs" (2013, 15 citations), provides a foundational framework for converting standard powered wheelchairs into semi-autonomous platforms. The key innovation lies in his emphasis on modular design and ease of use, enabling sensor packages to be easily mounted and reconfigured without specialized tools. This approach lowers the barrier for individuals with disabilities to access advanced navigation assistance. Dickerman's research directly addresses the challenge of creating practical, user-friendly assistive technologies that can be deployed in real-world settings. While his citation count reflects a focused, early-stage impact, his work has informed subsequent developments in semi-autonomous mobility aids and human-robot interaction. By prioritizing modularity and accessibility, Dickerman has helped pave the way for more inclusive robotic systems that empower users with physical limitations to navigate their environments with greater independence and safety.
Research Focus
Key Achievements
Top Papers
- 1Development of modular sensors for semi-autonomous wheelchairs15 citations · 2013