M. Willard
Papers
1
Total Citations
13
H-Index
1
About
M. Willard’s research sits at the intersection of neural engineering and human-robot interaction, with a focus on noninvasive brain-computer interfaces (BCIs). Their most cited work, a 2010 paper on a brain-controlled robotic platform, demonstrates a pioneering approach to using steady-state visual evoked potentials (SSVEPs) acquired via EEG to command an iRobot. Notably, this project was a capstone design effort led by four undergraduate students, showcasing Willard’s commitment to hands-on, student-driven innovation. With 13 citations, this study has influenced subsequent BCI applications in assistive robotics and rehabilitation. Willard’s contributions highlight the potential of low-cost, accessible neural interfaces, bridging the gap between theoretical neuroscience and practical, real-world control systems. Their work continues to inspire new generations of researchers exploring how brain signals can seamlessly interact with autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1