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Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation Planning with the Views via Scene Self-Exploration Lifted Schrödinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning OGPO: Sample Efficient Full-Finetuning of Generative Control Policies BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Latent Linear Quadratic Regulator for Robotic Control 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Royal Reveals: LiDAR Mapping of Kronborg Castle, Echoes of Hamlet's Halls
Leon Davies, Simon Sølvsten · 2024-09-27 · via cs.RO updates on arXiv.org

This paper presents a large scale dataset from a meticulous 360-degree LiDAR (Light Detection and Ranging) scan conducted on Kronborg Castle, a renowned Renaissance fortress located in Elsinore (Helsingør), Denmark, famously associated with Shakespeare's "Hamlet." Utilising a vertical mounted, gimbal stabilised, 16 channel, 360-degree Velodyne VLP-16 LiDAR scanner, paired with an Intel RealSense L515 depth camera. This research offers an unparalleled digital representation of the castle's intricate architectural details and structural nuances, enabling fellow researchers to conduct experiments utilising the data for SLAM (Simultaneous Localisation and Mapping) as well as floorplan generation.

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