Jairo Pirca
Papers
1
Total Citations
12
H-Index
1
About
Jairo Pirca is a researcher at the forefront of assistive robotics and brain-machine interfaces (BMIs), with a focus on restoring independence to individuals with severe motor disabilities. His most cited work, "Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities" (2019), proposes an integrated system that combines a P300-based BMI for task selection, a robotic arm for execution, and a stereo vision subsystem for object recognition and coordinate calculation. This contribution demonstrates a practical, end-to-end solution for performing daily activities through thought alone, bridging the gap between neural decoding and real-world manipulation. With 12 citations, this paper has influenced subsequent work in non-invasive, EEG-driven assistive technology. Pirca’s research sits at the intersection of neural engineering, computer vision, and human-robot interaction, aiming to create intuitive, low-cost systems that empower users. His work is particularly notable for its emphasis on system integration and real-time performance, addressing key challenges in translating BMIs from laboratory settings to home environments. For students and researchers, Pirca’s contributions offer a compelling model of how to design assistive technologies that are both functional and user-centered.
Research Focus
Key Achievements
Top Papers
- 1