Thomas Carstens

Thomas Carstens

Robotics Research Portfolio

Masters Thesis

Intelligent Systems for Next Generation Drone Functionality

Research Focus: Lab-to-Field Robotics using Human-Drone Interaction and Crossreality

This thesis explores the development of intelligent systems that enable seamless human-drone collaboration in both laboratory and field environments, investigating crossreality technologies to bridge the gap between controlled lab settings and real-world applications.

Key Innovation: Bridging the gap between controlled laboratory environments and complex real-world deployment through advanced human-drone interaction paradigms and crossreality technologies.

📚 Explore Thesis Sections

🎯 Research Foundation
📖 Introduction & Problem Statement 🔬 Research Domains & Scope 🏆 Key Contributions
Testbed Architecture
System Overview & Design Hardware Environment Setup Flight Arena & Localization Coverage & Stability Analysis
Software Ecosystem
Software Architecture Middleware Solutions Object Virtualization Swarm Management
Human-Drone Interfaces
Gesture Control Systems Computer Vision Pipeline Pose Recognition Algorithms Performance Analysis
Mixed Reality Systems
MR Interface Design Network Architecture Event Sharing Workflow MR Performance Testing
Industrial Deployment
In Vivo Applications Carrier Drone Engineering Onboard Components Damping Optimization
Sensing & Inspection
Semi-Autonomous Scanning Data Acquisition Systems Vibration Analysis Footstep Detection
Demonstrations
Choreography Design Testbed Results Sensor Evaluation Sensitivity Analysis
Conclusions & Impact
Research Conclusions Future Directions Acknowledgements
Download Complete Thesis (PDF)