• B. D. Evans, “Accelerating Deep Reinforcement Learning for Autonomous Racing”, PhD Thesis, 2023. [View]
  • A. S. K. Habila, “Estimation of External Disturbance Torques on CubeSats to Enhance Full State Attitude Estimation Accuracy and Mission Success”, PhD Thesis, 2023. [View]
  • C. E. Roelofse, “Probabilistic Conflict Prediction – An Accurate and Computationally Efficient Approach”, PhD Thesis, 2023. [View]
  • W. Botes, “Grid-Based Coverage Path Planning for Multiple UAVs in Search and Rescue Applications”, Masters Thesis, 2023. [View]
  • A. J. J. Burger, “Robust star identification using a neural network”, Masters Thesis, 2023. [View]
  • D. Erasmus, “Trajectory Optimisation Inspired Controller Design of a Low-Cost Bipedal Robot”, Masters Thesis, 2023. [View]
  • S. Erasmus, “Guidance, Control, and Motion Planning for a Hexapod Robot moving over Uneven Terrain”, Masters Thesis, 2023. [View]
  • P. Goos, “Low Cost Sensor Monitoring using Mesh Connected Ultra-Low Power Long-Range Transceivers”, Masters Thesis, 2023. [View]
  • A. Hohbach, “Trajectory planning methods applied to a rotary wing UAV with uncertain suspended payloads”, Masters Thesis, 2023. [View]
  • S. Jeffery, “Development of Satellite Subsystems for Use in a Bench Satellite”, Masters Thesis, 2023. [View]
  • U. J. Louw, “Autonomous Diagnosis of Satellite Sensor Anomalies to Ensure Fault Tolerant Control”, Masters Thesis, 2023. [View]
  • A. Murdoch, “Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing”, Masters Thesis, 2023. [View]
  • L. Nieuwoudt, “Exploring EMG and EEG Signals for the Development of a Real-Time Control Strategy for a Robotic Hand”, Masters Thesis, 2023. [View]
  • M. Z. Parker, “Automated Landing of a Fixed-Wing Unmanned Aircraft onto a Moving Platform”, Masters Thesis, 2023. [View]
  • C. J. Pheiffer, “Fault Injection based Sensitivity Analysis to aid Robust Satellite Software Development”, Masters Thesis, 2023. [View]
  • R. V. Van Zyl, “Low-Cost Autonomous Rover with Heterogeneous Compute”, Masters Thesis, 2023. [View]
  • N. E. Weiss, “Design of a Series Articulated Bipedal Robot Capable of Agile and Transient Maneuvers”, Masters Thesis, 2023. [View]