CERBERUS STIX2019 Qualification - Flying Robots - Artifacts Detection @autonomousrobotslab

CERBERUS STIX2019 Qualification - Flying Robots - Artifacts Detection @autonomousrobotslab

Uploaded February 2019 | Updated September 2026, 3 weeks ago

CERBERUS DARPA Subterranean Challenge
STIX 2019 Qualification Video
Flying Robots - Artifact Detection

CERBERUS STIX2019 Qualification - Flying Robots - Artifacts Detection

DeepVL: Dynamics and Inertial Measurements-based Deep Velocity Learning for Underwater Odometry

Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments

Graph-based Exploration Path Planning in Room-and-Pillar Underground Mines

ORACLE Library of Deep Learning-based Safe Navigation Methods: Indicative Results

Autonomous Exploration of Ballast Water Tank with Navigation through Manholes

Olympus: A Jumping Quadruped for Planetary Exploration Utilizing RLfor In-flight Attitude Control

Team CERBERUS Wins the DARPA Subterranean Challenge

RRTOT: Optimal Inspection Path-Planning

Collaborative Exploration with a Marsupial Ground-Aerial Robot Team

Autonomous Aerial Robotic Exploration and Mapping of a Railroad Tunnel in Degraded Visual Conditions

IEEE ICRA 2019 Workshop on The Future of Aerial Robotics: Challenges & Opportunities

Kostas Alexis |

CERBERUS STIX2019 Qualification - Flying Robots - Artifacts Detection