Topic Robotics: On-Orbit Servicing (OOS) Objectives Debris in LEO 1. Active Debris Removal Debris in LEO DEOS MISSION - Inoperative Satellites - Upper Stages of Rockets - Collision/Explosion Fragments Methods Semi-Autonomy System overview Target as seen by Servicer Tumbling Target Physical interaction after grasping Parameter Identification Motion Planning Off-line Robot Control Servicer-Robot On-line Telepresence on ground - ORU Exchange Repair Deorbiting Life Extension Refueling Possible targets: ENVISAT, Zenit-2 Target Motion Estimation and Prediction: - Grasping a non-cooperative debris object (unknown tumbling rate, complex geometry) - Generating feasible trajectories in a useful time (highly nonlinear optimization problem) Telepresence (see dedicated poster) Target Motion Prediction 2. On-Orbit Servicing on board, on-line 1. Estimation based on automatic detection and tracking of local features or known geometric model 2. Long-term prediction (100 seconds) System Parameter Identification: - Rigid body identification Servicer/Target - Flexible bodies (e.g., solar panels) - Fuel sloshing - Dynamic model update Motion Planning: - Free-floating dynamics model - Satisfying motion constraints (e.g., collision avoidance) - Real-time reference trajectories with look-up table Robot Control: - Free-floating robot dynamics - Impedance control - Tracking of reference trajectory - Visual servo input Simulation EPOS VR - OOS - Simulation of Rendezvous and Docking (RvD) maneuvers (25-0 m) - Realistic illumination conditions - Simulation of impact dynamics during contact F x Haptic Device Interactive OOS VR DEOS-Simulator - Testing platform for close proximity operations (e.g. grasping and stabilization) - Hardware-in-the-loop with free-floating dynamics emulation Haptic Rendering - Manipulation of an OOS scenario in the VR using haptic feedback - Haptic rendering algorithm able to compute forces between complex objects in 1 ms - Voxelized distance fields, as well as point and sphere hierarchies used as data structures
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