AeroTerraBot: The Ultimate Transforming Vehicle

The purpose of this project is to demonstrate the innovation and technical challenge of creating a remote-controlled vehicle that can seamlessly transform between two fundamentally different forms, a ground-based tank and an aerial quadcopter. The core problem addressed is the design and fabrication of reliable mechanical linkages and actuation systems that enable smooth transformation between driving and flying modes. The expected results of the project include delivering a fully functional prototype that transforms seamlessly between tank and quadcopter modes at the press of a button.

Innovation, remote-controlled vehicle, ground-based, mechanical linkages, tank and quadcopter.

1. J. A. R. Marshall, "Are transformers truly foundational for robotics?" Nature Machine Intelligence, 2025. [Google Scholar] [Crossref]

2. N. Sanghai, "Advances in Transformers for Robotic Applications," 2024. [Google Scholar] [Crossref]

3. H. Ji et al., "Spatial Localization of a Transformer Robot Based on Ultrasonics," 2024. [Google Scholar] [Crossref]

4. D. Zhang et al., "The Development of a Novel Terrestrial/Aerial Robot (AQT-HR)," 2024. [Google Scholar] [Crossref]

5. C. Premachandran, "A Study on Development of a Hybrid Aerial/Terrestrial Robot System," 2018. [Google Scholar] [Crossref]

6. M. Ryalat, "Mechatronics Design and Control of a Hybrid Flying Ground Robot," 2024. [Google Scholar] [Crossref]

7. M. Cao et al., "AirCrab: A Hybrid Aerial-Ground Manipulator," 2024. [Google Scholar] [Crossref]

8. J. L. Chien et al., "Design and Control of an Aerial-Ground Tethered Tendon Robot," 2023. [Google Scholar] [Crossref]

9. C. Guo et al., "Lightweight Transformer-Based Neural Network for Agricultural Robotics," 2024. [Google Scholar] [Crossref]

10. S. Lu et al., "Multi-Dimensional Fusion: Transformer and GAN-Based Neuro-Robotics," 2023. [Google Scholar] [Crossref]

11. A. Alarcon et al., "Design and Kinematics of Variable-Geometry Linkages for Morphing Quadrotors," Journal of Mechanisms and Robotics, 2025. [Google Scholar] [Crossref]

12. P. Casau et al., "Robust Transition Control for Hybrid Terrestrial-Aerial Unmanned Vehicles," IEEE Transactions on Control Systems Technology, 2024. [Google Scholar] [Crossref]

13. S. Mintchev and D. Floreano, "A Bio-Inspired Morphing Drone for Multi-Modal Locomotion," Science Robotics, 2022. [Google Scholar] [Crossref]

14. B. Zhou et al., "Magnetometer-Calibrated Hybrid Transformer for Robust Inertial Tracking in Robotics," IEEE Transactions on Mobile Computing, January 2025. [Google Scholar] [Crossref]

• What the Desert Fathers Teach Data Scientists: Ancient Ascetic Principles for Ethical Machine-Learning Practice
• Comparative Analysis of Some Machine Learning Algorithms for the Classification of Ransomware
• Comparative Performance Analysis of Some Priority Queue Variants in Dijkstra’s Algorithm
• Transfer Learning in Detecting E-Assessment Malpractice from a Proctored Video Recordings.
• Dual-Modal Detection of Parkinson’s Disease: A Clinical Framework and Deep Learning Approach Using NeuroParkNet