Per Antoine Carlsen

Papers

Total Citations

H-Index

About

Per Antoine Carlsen is a leading researcher at the intersection of assistive robotics and computer vision, with a primary focus on enhancing human-robot interaction for vulnerable populations. His work centers on deploying mobile robots in the homes of disabled individuals and older adults, where they serve as companions and assist with activities of daily living to improve quality of life. Carlsen’s most cited paper, "Real-Time Person Re-Identification to Improve Human-Robot Interaction" (2024), addresses a critical challenge: enabling robots to recognize and track specific individuals in dynamic, real-world environments. This contribution is foundational for developing socially adept robots that can navigate complex home settings and provide personalized assistance. While his citation count is still growing, his research has already garnered attention for its practical implications in assistive technology. Carlsen’s work is notable for bridging the gap between theoretical computer vision and real-world robotic applications, directly impacting the lives of those who rely on assistive devices. His ongoing efforts promise to make robots more intuitive and effective companions, advancing the field of socially assistive robotics.