Max Robotics — Global Service Robot Directory + US Certification

About

Eduardo Perdices is a leading researcher in intelligent robotics education and autonomous navigation, with a focus on bridging theoretical advances and practical deployment. His most influential contribution is the development of Robotics-Academy, an open-source platform for teaching intelligent robotics, detailed in his highly cited 2020 paper (77 citations). This work provides a suite of real-world exercises using robots like autonomous cars and drones, making complex robotics concepts accessible to engineering students. Perdices has also made significant strides in visual localization and SLAM, notably through the Semi-Direct Visual Localization (SDVL) algorithm, which enables real-time 3D localization on low-power processors. His earlier work on the Behavior-based Iterative Component Architecture (BICA) for humanoid robots, such as the Nao, established foundational software frameworks for robotic perception and actuation. More recently, he has advanced embedded deep learning for person identification and following, integrating optical tracking with neural networks to enable robust human-robot interaction. With a cumulative impact spanning education, software architecture, and computer vision, Perdices’ research continues to shape how robots perceive, learn, and operate in dynamic environments.