Max Robotics — Global Service Robot Directory + US Certification

About

Edith Llontop is a leading researcher at the intersection of cloud robotics, manipulation, and foundation models for generalist robots. Her work addresses critical bottlenecks in robotic autonomy—from computational constraints to physical grasping efficiency. She is the first author of "FogROS2" (38 citations), a seminal platform that seamlessly connects resource-constrained robots to cloud and fog computing via ROS 2, enabling them to run computationally intensive algorithms remotely. This work is foundational for scalable, real-world robotic systems. Llontop also pioneered "Push-MOG" (8 citations), an efficient pushing strategy that consolidates polygonal objects to enable multi-object grasping, dramatically improving decluttering speed in warehouses and homes. Most recently, she contributed to "GR00T N1" (2025, 4 citations), an open foundation model for generalist humanoid robots, aiming to unify perception, control, and reasoning across diverse tasks. Her research consistently bridges practical hardware limitations with cutting-edge AI, earning recognition for its impact on both cloud robotics and manipulation. Llontop’s work is essential reading for anyone building scalable, intelligent robotic systems.