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Multi-Agent 3D Map Reconstruction and Change Detection in Microgravity with Free-Flying Robots
This work presents a framework for multi-agent cooperative mapping and change detection to enable robotic maintenance of space outposts.
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Motion planning can be cast as a trajectory optimisation problem where a cost is minimised as a function of the trajectory being generated.
Learning to Simulate Tree-Branch Dynamics for Manipulation
We propose to use a simulation driven inverse inference approach to model the dynamics of tree branches under manipulation.
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds
Object classification using LiDAR 3D point cloud data is critical for modern applications such as autonomous driving.
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