Tumbling Satellite

Tumbling satellite stabilization is a critical challenge in space robotics, focusing on developing methods to capture and control uncontrolled satellite rotations. Current research emphasizes adaptive control algorithms, often employing neural networks or Kalman filters for robust state estimation and trajectory planning, even in the presence of uncertain dynamics and partial sensor occlusion. These advancements are crucial for enabling safe and efficient servicing missions, including the repair or retrieval of malfunctioning satellites, and improving the overall sustainability of space operations. The development of sophisticated models for non-rigid satellites and the creation of large-scale datasets for algorithm training are also key areas of ongoing investigation.