Long Chen
収録論文 62本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- GeoWorldAD: Geometry World Action Model for Autonomous Driving2026/7/1
- He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping2026/6/1
- SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks2026/6/1
- UniviewVLA: A Unified Multiview Vision-Language-Action Model with World Modeling2026/6/1
- OneVLA: A Unified Framework for Embodied Tasks2026/6/1
- Thinking in Text and Images: Interleaved Vision--Language Reasoning Traces for Long-Horizon Robot Manipulation2026/5/1
- Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives2026/5/1
- DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale2026/4/1
- UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving2026/4/1
- Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation2026/4/1
- Think before Go: Hierarchical Reasoning for Image-goal Navigation2026/4/1
- Walk With Me: Long-Horizon Social Navigation for Human-Centric Outdoor Assistance2026/4/1
- XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments2026/4/1
- Learning from Mistakes: Post-Training for Driving VLA with Takeover Data2026/3/1
- AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving2026/3/1
- PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning2026/3/1
- DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving2026/2/1
- MeanFuser: Fast One-Step Multi-Modal Trajectory Generation and Adaptive Reconstruction via MeanFlow for End-to-End Autonomous Driving2026/2/1
- TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving2026/2/1
- Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving2026/2/1
- The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms2026/1/1
- What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models2025/12/1
- DVGT: Driving Visual Geometry Transformer2025/12/1
- SocialNav-Map: Dynamic Mapping with Human Trajectory Prediction for Zero-Shot Social Navigation2025/11/1
- DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks2025/11/1
- MiMo-Embodied: X-Embodied Foundation Model Technical Report2025/11/1
- SimScale: Learning to Drive via Real-World Simulation at Scale2025/11/1
- RoboAfford++: A Generative AI-Enhanced Dataset for Multimodal Affordance Learning in Robotic Manipulation and Navigation2025/11/1
- NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies2025/10/1
- Learning to Navigate Socially Through Proactive Risk Perception2025/10/1
- Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation -- Technical Report for IROS 2025 RoboSense Challenge Track 42025/10/1
- DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction2025/7/1
- ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving2025/6/1
- ReSim: Reliable World Simulation for Autonomous Driving2025/6/1
- EANS: Reducing Energy Consumption for UAV with an Environmental Adaptive Navigation Strategy2025/6/1
- Learning Perceptive Humanoid Locomotion over Challenging Terrain2025/3/1
- SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment2025/3/1
- WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation2025/3/1
- Learning Humanoid Locomotion with World Model Reconstruction2025/2/1
- AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion2024/10/1
- Instruct Large Language Models to Drive like Humans2024/6/1
- CarLLaVA: Vision language models for camera-only closed-loop driving2024/6/1
- Scenarios Engineering driven Autonomous Transportation in Open-Pit Mines2024/5/1
- Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines2024/5/1
- ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces2024/5/1
- Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving2024/3/1
- LingoQA: Visual Question Answering for Autonomous Driving2023/12/1
- Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving2023/10/1
- V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network2023/10/1
- FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion2023/8/1
- Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning2023/6/1
- BotanicGarden: A High-Quality Dataset for Robot Navigation in Unstructured Natural Environments2023/6/1
- How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence2023/5/1
- Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors2023/5/1
- Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives2023/3/1
- Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys2023/3/1
- SimNet: Learning Reactive Self-driving Simulations from Real-world Observations2021/5/1
- What data do we need for training an AV motion planner?2021/5/1
- Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving2020/7/1
- Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications2020/7/1
- One Thousand and One Hours: Self-driving Motion Prediction Dataset2020/6/1
- Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review2020/4/1