CERBERUS in the DARPA Subterranean Challenge

Area of Science:

• Robotics and Autonomous Systems
• Geological Exploration Technology
• Artificial Intelligence in Environmental Monitoring

Background:

• The DARPA Subterranean Challenge aimed to advance robotic capabilities for exploring complex underground environments.
• Previous subterranean exploration methods were limited by safety concerns and technological constraints.
• Autonomous systems are crucial for operating in hazardous and inaccessible terrains.

Purpose of the Study:

• To detail the technologies and strategies employed by Team CERBERUS to win the DARPA Subterranean Challenge.
• To showcase a novel robotic system-of-systems for subterranean exploration.
• To demonstrate resilient autonomy and advanced navigation in complex underground settings.

Main Methods:

• Development of a integrated robotic system-of-systems (CERBERUS) comprising walking and flying robots.
• Implementation of resilient autonomy for independent robotic operation.
• Integration of advanced mapping and navigation algorithms for subterranean environments.

Main Results:

• Successful deployment and operation of the CERBERUS system in the DARPA Subterranean Challenge finals.
• Demonstration of robust performance in complex underground environments.
• Achieved winning run, validating the system's effectiveness and technological advancements.

Conclusions:

• The CERBERUS system-of-systems provides a viable and effective solution for subterranean exploration.
• Resilient autonomy, mapping, and navigation are key components for successful underground robotic missions.
• The strategies and technologies presented offer a blueprint for future autonomous exploration systems.