Max Robotics — Global Service Robot Directory + US Certification

About

Anna Bicchi is a leading researcher in collaborative robotics and medical robotics, with a focus on human-robot interaction and minimally invasive surgical systems. Her major contributions span two critical domains: mitigating physical fatigue in human-robot collaboration through dynamic task allocation strategies, and advancing robotic assistance for transcatheter cardiac interventions. Her 2022 work on fatigue mitigation, with 42 citations, introduced a non-invasive method to estimate muscle fatigue in real-time, directly addressing operator safety and performance in collaborative settings. In medical robotics, Bicchi has pioneered path tracking control for steerable catheters in mitral valve repair, model-based position control for tendon-driven continuum robots, and telerobotic systems for transesophageal echocardiography—all aimed at reducing radiation exposure and improving precision in cardiac procedures. Her recent work on imitation learning for path planning in percutaneous interventions, published in 2025, demonstrates her commitment to automating complex surgical tasks. With a career spanning from foundational work on the Ramsete mobile robotics platform (2001) to cutting-edge continuum robot control (2025), Bicchi’s research consistently bridges robotics theory and clinical application, making her a pivotal figure in both collaborative and medical robotics.