Uploaded November 2016 | Updated September 2026, 3 weeks ago
These are preliminary results on exploration and mapping inside a tunnel with approximate dimensions of WIDTHxHEIGHTxLENGTH = 3x4x30m. The robot navigated along half of it (approximately) and our team evaluated the capability of localization and mapping using NIR camera/IMU, as well as Laser Time-of-Flight sensors.
For the element of VI-localization we are using ROVIO developed at ASL, ETH Zurich: github.com/ethz-asl/rovio
The nightvision cameras are supported with appropriately synchronized LEDs.
This result corresponds to preliminary work in the field of autonomous exploration and mapping in visually-degraded environments. It was conducted by the Autonomous Robots Lab at the University of Nevada, Reno.
These are preliminary results on exploration and mapping inside a tunnel with approximate dimensions of WIDTHxHEIGHTxLENGTH = 3x4x30m. The robot navigated along half of it (approximately) and our team evaluated the capability of localization and mapping using NIR camera/IMU, as well as Laser Time-of-Flight sensors.
For the element of VI-localization we are using ROVIO developed at ASL, ETH Zurich: github.com/ethz-asl/rovio
The nightvision cameras are supported with appropriately synchronized LEDs.
This result corresponds to preliminary work in the field of autonomous exploration and mapping in visually-degraded environments. It was conducted by the Autonomous Robots Lab at the University of Nevada, Reno.

![DARPA SubT Urban Circuit: Autonomous Exploration in the Satsop Abandoned Power Plant
In this video, a mission of the Alpha Aerial Scout of Team CERBERUS during the DARPA Subterranean Challenge Urban Circuit event is presented. The Alpha Robot operates inside the Satsop Abandoned Power Plant and performs autonomous exploration. The robot autonomy relies on a resilient multi-modal localization and mapping solution fusing LiDAR, vision and inertial sensing, combined with a graph-based exploration path planner responsible to identify optimized viewpoints to explore the unknown setting in a collision-free manner. The same planner is futher responsible for the automated return-to-home behavior of the robot.
This deployment took place during the 3rd field trial of team CERBERUS during the Urban Circuit event of the DARPA Subterranean Challenge. The Urban Circuit contained the Alpha and Beta courses (name not to be confused with that of the robot which is also called Alpha). This test is in the Alpha course. Team CERBERUS deploys a combination of legged, flying and roving robotic systems.
Most Relevant Papers:
[1] T. Dang, F. Mascarich, S. Khattak, C. Papachristos, K. Alexis, Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Macau, China
[2] S. Khattak, D. H. Nguyen, F. Mascarich, T. Dang, and K. Alexis, Complementary Multi–Modal Sensor Fusion for Resilient Robot Pose Estimation in Subterranean Environments, International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, 2020
[3] T. Dang, S. Khattak, F. Mascarich, K. Alexis, Explore Locally, Plan Globally: A Path Planning Framework for Autonomous Robotic Exploration in Subterranean Environments, 19th International Conference on Advanced Robotics (ICAR), Belo Horizonte - Brazil, December 2-6, 2019 (Best Paper Award)
Find out more at:
https://www.autonomousrobotslab.com/ DARPA SubT Urban Circuit: Autonomous Exploration in the Satsop Abandoned Power Plant](https://i.ytimg.com/vi/Idmq_5hhMic/mqdefault.jpg)








