Max Robotics — Global Service Robot Directory + US Certification

About

Anne E. Reichert is a leading researcher in robotic manipulation and perception, with a focus on fusing multi-modal data to achieve robust object and robot pose estimation. Her major contributions include developing a 6DoF object tracking algorithm that integrates visual appearance and geometry, addressing a critical need for continuous pose estimation in advanced robotic manipulation. This work has garnered 18 citations since 2023. Reichert also played a key role in the euROBIN First-Year Robotics Hackathon, demonstrating a heterogeneous robot team capable of door-to-door parcel delivery, a project that highlights her ability to tackle real-world logistics challenges. Most recently, she introduced PK-ROKED, a learning-based pipeline for probabilistic robot pose estimation that accounts for imperfect kinematic knowledge, particularly in elastic and lightweight robotic systems. This work, published in 2025, has already attracted 2 citations. Reichert’s research consistently pushes the boundaries of robot autonomy, bridging the gap between perception and action in dynamic environments. Her achievements underscore her impact on the future of service and industrial robotics.