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cs.RO updates on arXiv.org

ARETE: Attention-based Rasterized Encoding for Topology Estimation using HSV-transformed Crowdsourced Vehicle Fleet Data Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation Keypoint-based Dynamic Object 6-DoF Pose Tracking via Event Camera GenAssets: Generating in-the-wild 3D Assets in Latent Space Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs LeHome: A Simulation Environment for Deformable Object Manipulation in Household Scenarios Learning-augmented robotic automation for real-world manufacturing An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation Model Predictive Control of Hybrid Dynamical Systems Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors How VLAs (Really) Work In Open-World Environments Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation Distributional Value Estimation Without Target Networks for Robust Quality-Diversity Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization Bimanual Robot Manipulation via Multi-Agent In-Context Learning A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving Cortex 2.0: Grounding World Models in Real-World Industrial Deployment From Scene to Object: Text-Guided Dual-Gaze Prediction Toward Safe Autonomous Robotic Endovascular Interventions using World Models Planetary Exploration 3.0: A Roadmap for Software-Defined, Radically Adaptive Space Systems DistortBench: Benchmarking Vision Language Models on Image Distortion Identification UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models M$^{2}$GRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation Accelerating trajectory optimization with Sobolev-trained diffusion policies AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulators Localization-Guided Foreground Augmentation in Autonomous Driving Gated Memory Policy Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model Vision-Based Human Awareness Estimation for Enhanced Safety and Efficiency of AMRs in Industrial Warehouses Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs SENSE: Stereo OpEN Vocabulary SEmantic Segmentation Continual Hand-Eye Calibration for Open-world Robotic Manipulation From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities R3D: Revisiting 3D Policy Learning Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning HRDexDB: A Large-Scale Dataset of Dexterous Human and Robotic Hand Grasps ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management Efficient closed-form approaches for pose estimation using Sylvester forms World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning CooperDrive: Enhancing Driving Decisions Through Cooperative Perception SpaceMind: A Modular and Self-Evolving Embodied Vision-Language Agent Framework for Autonomous On-orbit Servicing HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning Failure Identification in Imitation Learning Via Statistical and Semantic Filtering A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment RobotPan: A 360$^\circ$ Surround-View Robotic Vision System for Embodied Perception Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses 4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Multi-modal panoramic 3D outdoor datasets for place categorization Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions Solving Physics Olympiad via Reinforcement Learning on Physics Simulators StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems Grounded World Model for Semantically Generalizable Planning SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving
FIRE-3DV: Framework-Independent Rendering Engine for 3D Graphics using Vulkan
Christopher John Allison, Haoying Zhou, Adnan Munawar, Peter Kaz · 2024-10-07 · via cs.RO updates on arXiv.org

Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. In user training and synthetic data generation applications, high-fidelity visualizations from the simulation are essential. Yet, robotic simulators often limit their rendering algorithms to preserve real-time interaction with the simulation. Advancements in Graphics Processing Units (GPU) enable improved visualization without compromising performance. However, these advancements cannot be fully leveraged in simulation frameworks that use legacy graphics application programming interfaces (API) to interface with the GPU. This paper presents a performance-focused and lightweight rendering engine supporting the modern Vulkan graphics API that can be easily integrated with other simulation frameworks to enhance visualizations. To illustrate the proposed method, our engine is used to modernize the legacy rendering pipeline of the Asynchronous Multi-Body Framework (AMBF), a dynamic simulation framework used extensively for interactive robotics simulation development. This new rendering engine implements graphical features such as physically based rendering (PBR), anti-aliasing, and ray-traced shadows, significantly improving the image fidelity of AMBF. Computational experiments show that the engine can render a simulated scene with over seven million triangles while maintaining GPU computation times within two milliseconds.