Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Damian Valles is a leading researcher at the intersection of robotics, computer vision, and autonomous systems, with a focus on deep learning for real-world perception and navigation. His major contributions lie in designing specialized deep convolutional neural network architectures for 3D object detection, enabling robotic grasping from RGB-D images. His foundational work, "Deep Convolutional Neural Network Design Approach for 3D Object Detection for Robotic Grasping" (2020, 10 citations), pioneered the use of economical 3D sensors for industrial automation, while his subsequent "Backbone Neural Network Design of Single Shot Detector from RGB-D Images" (5 citations) advanced real-time object recognition. Dr. Valles has also made notable strides in autonomous rescue robotics, integrating deep learning with ROS2 for firefighter support in his 2024 work (3 citations), and exploring neuroevolutionary algorithms like NEAT for multi-room navigation in dynamic scenarios (2025, 1 citation). His research directly addresses critical challenges in hazardous environments, from burning structures to wildfire management, demonstrating a clear commitment to deploying AI for life-saving applications. With a growing citation footprint, Dr. Valles is shaping the future of intelligent, autonomous systems that perceive and act in complex, unstructured worlds.