Sascha Braun

Papers

Total Citations

H-Index

About

Sascha Braun is a robotics researcher specializing in real-time person tracking and autonomous navigation systems for mobile robots. His work focuses on developing robust, in-the-wild tracking algorithms that enable robots to follow human operators seamlessly in dynamic, unstructured environments. Braun’s most-cited paper, "Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics" (2018), with 5 citations, introduces a practical, low-latency framework that integrates computer vision and sensor fusion to achieve reliable person following without prior environmental mapping. This contribution addresses a critical gap in human-robot interaction, paving the way for applications in assistive robotics, logistics, and service automation. Braun’s research emphasizes real-world deployability, balancing computational efficiency with accuracy under challenging conditions like occlusion and varying lighting. His work has been recognized for its direct impact on field robotics, offering a scalable solution for collaborative autonomous systems. As a researcher, Braun continues to advance the intersection of perception and control, making autonomous robots more intuitive and responsive to human needs.