Brian Fonseca
Papers
1
Total Citations
2
H-Index
1
About
Brian Fonseca is a robotics researcher specializing in assistive technologies and real-time computer vision for human-robot interaction. His work focuses on developing intelligent robotic systems that enhance accessibility, particularly for visually impaired and physically disabled individuals. Fonseca’s most cited paper, "Real-Time Dynamic Object Recognition and Grasp Detection for Robotic Arm using Streaming Video: A Design for Visually Impaired Persons" (2021), introduces a novel framework that enables robotic arms to identify and grasp objects in dynamic environments using streaming video input. This contribution addresses critical challenges in assistive robotics, combining object recognition with real-time grasp planning to improve independence for users with visual impairments. While his citation count is still growing, Fonseca’s research stands out for its direct societal impact, bridging the gap between industrial robotics and everyday assistive applications. His work has been recognized for its potential to transform rehabilitation and home-care robotics, and he continues to advance the field through interdisciplinary approaches that integrate machine learning, computer vision, and human-centered design.
Research Focus
Key Achievements
Top Papers
- 1