Spacecraft Robotics Lab
Led by Prof. Steve Ulrich, the Spacecraft Robotics Laboratory is a graduate research laboratory within the Department of Mechanical and Aerospace Engineering at Carleton University (Ottawa, ON, Canada).
The laboratory engages in cutting-edge fundamental research in the general areas of guidance, navigation, and control, computer vision and robotics. Specific areas of application of the novel algorithms include spacecraft proximity operations and formation flying. The laboratory houses several world-class experimental facilities and works in close collaboration with industries and governmental organizations.
Path Planning for Space-based Robotic Manipulators via Admissible Subspace Trajectory Optimization
Model-Free Learning Compensation of Robotic Arm Maneuvres
Gradient Descent Methods on Artificial Potential Fields for Proximity Operations
LiDAR-Based Docking and Refueling of a Spinning Spacecraft
Adaptive Proportional Navigation-Based Planar Rendezvous and Docking Guidance
Robotic Capture of an Uncooperative Spinning Spacecraft via Deep Learning Vision and Guidance
Neural Network-Based Spacecraft Pose Determination Using Thermal Imagery
On-Orbit Results of Optimal Guidance and Control for Spacecraft Rendezvous
Convolutional Neural Networks for Noncooperative Spacecraft Pose Determination
Real-Time Collision-Free Rendezvous and Docking via Gradient Vector Fields
Experimentally Validating Model Predictive Control for Spacecraft Prox Ops with Collision Avoidance
Computer Vision-Driven APF Guidance and Adaptive Control for Spacecraft Proximity Operations
Autonomous Spacecraft Robotics (DOT) Capstone - Race for Good Future Funder Video Application
Model Predictive Control of Spacecraft Rendezvous with Collision Avoidance
Ingenious Talks – Intelligent Robotic Spacecraft: Developing Advanced Autonomous Space Technologies
AI-driven Spacecraft Capture
Vision-based Rendezvous, Proximity Operations and Docking
Learned Multi-Agent Real-time Guidance
Spacecraft Pose Tracking Control Using the Udwadia-Kalaba Framework
Deep Reinforcement Learning for Spacecraft Proximity Operations Guidance
AI-Driven Spacecraft Robotic Capture
Feedback Control Systems - PID Optimal Tuning Approaches
Orbital Mechanics - Vector Analysis, Reference Frames and the Vectrix
Orbital Mechanics - Vector-Component Operations and Rotation Matrices
Orbital Mechanics - Principal Rotations, Rotation Sequences, and Translational Kinematics
Orbital Mechanics - Newton's Laws
Orbital Mechanics - Two-Body Equations of Motion and Keplerian Fundamental Integrals
Orbital Mechanics - The Orbit Equation, Conic Sections and Kepler's Laws
Orbital Mechanics - Orbital Energy and the Vis-Viva Equation
Orbital Mechanics - Kepler's Time Equation