Max Robotics — Global Service Robot Directory + US Certification

About

Marco Caruso’s research sits at the intersection of wearable sensing, human motion analysis, and collaborative robotics, with a core focus on improving how inertial measurement units (IMUs) estimate human kinematics in real-world settings. His most influential contribution is the BROAD benchmark (39 citations), which provides a standardized framework for evaluating robust inertial orientation estimation—a critical step for applications ranging from autonomous navigation to rehabilitation engineering. Caruso has also advanced real-time upper-limb kinematic tracking during typical industrial gestures (29 citations), directly supporting safer, more responsive human-robot collaboration in Industry 4.0 environments. His work on ISB-consistent Denavit-Hartenberg modeling and kinematic optimization of the human upper limb, though recently published, lays essential groundwork for accurate joint-angle estimation in rehabilitation and ergonomics. By addressing the fundamental challenge of drift and error in IMU-based orientation, Caruso’s research enables more reliable motion capture for clinical diagnosis, sports science, and industrial automation. His contributions are shaping how wearable sensors can be trusted for precise, real-time human movement analysis—a key enabler for next-generation collaborative systems.