Jason Braker
Papers
1
Total Citations
2
H-Index
1
About
Jason Braker is a researcher at the intersection of robotics, wireless sensing, and human-robot interaction. His work focuses on developing low-cost, accessible robotic systems that leverage radio frequency (RF) signals for intuitive navigation and assistance. Braker’s most notable contribution is his pioneering prototype of a smart robotic cart that uses RF signal strength to localize and autonomously follow a user—a cost-effective alternative to vision-based or LIDAR systems. This work, published in 2021, has garnered early attention with 2 citations, laying the groundwork for affordable assistive robotics in retail, logistics, and healthcare. By demonstrating that simple analog signal metrics can enable robust following behavior, Braker opens the door to scalable, infrastructure-light robotic solutions. His research is particularly impactful for students and engineers seeking to build practical, low-barrier-entry robotic systems. Braker’s approach—prioritizing simplicity and real-world deployability—reflects a commitment to democratizing robotics, making his work a valuable reference for those exploring RF-based navigation in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1A Smart Robotic Cart Prototype using RF Signal Strength2 citations · 2021