Autonomous Search and Rescue: Real-Time Drone and Robotic Dog Integration

<p>Common robotic navigation techniques often utilize GPS to set up the robot’s reference frame, which is not possible in environments, such as indoor facilities, underground passages, and disaster zones, where GPS is not available. This research explores the integration of a Boston Dynamics Spot robot with a Tello drone to form a non-GPS-based autonomous navigation system. By leveraging coordinate transformation logic, this study enables real-time aerial reconnaissance and ground-based waypoint navigation without reliance on GPS. The methodology includes software development using the Spot SDK and Tello APIs, a virtual networked solution for integration, and an experimental setup to validate navigation accuracy. The integration showcases the feasibility of multi-agent robotic collaboration in constrained environments, contributing toward advancements in autonomous exploration and search-and-rescue systems.</p>

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical Engineering and Computer Science

Year

2025

Author dc:creator

• Alexander, Robert

Contributors dc:contributor

• Dr. Tom Springer
• Dr. Trudi Qi
• Dr. Peiyi Zhao

• Multi-agent
• Spot
• Tello
• Integration
• Computer Engineering
• Search and Rescue
• Robotics

Repository record dc:identifier

https://digitalcommons.chapman.edu/eecs_theses/2

OAI identifier oai:identifier

oai:digitalcommons.chapman.edu:eecs_theses-1001