Ivan Laptev
収録論文 30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
- A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model2026/4/1
- Implicit Geometry Representations for Vision-and-Language Navigation from Web Videos2026/3/1
- ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation2026/3/1
- Choose What to Observe: Task-Aware Semantic-Geometric Representations for Visuomotor Policy2026/3/1
- MessyKitchens: Contact-rich object-level 3D scene reconstruction2026/3/1
- PhysMoDPO: Physically-Plausible Humanoid Motion with Preference Optimization2026/3/1
- GLaD: Geometric Latent Distillation for Vision-Language-Action Models2025/12/1
- PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model2025/11/1
- BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation2025/10/1
- How Good are Foundation Models in Step-by-Step Embodied Reasoning?2025/9/1
- PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly2025/6/1
- DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding2025/3/1
- RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation2024/12/1
- MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation2024/11/1
- Learning feasible transitions for efficient contact planning2024/7/1
- ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos2024/4/1
- PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation2023/9/1
- Object Goal Navigation with Recursive Implicit Maps2023/8/1
- Robust Visual Sim-to-Real Transfer for Robotic Manipulation2023/7/1
- Learning Video-Conditioned Policies for Unseen Manipulation Tasks2023/5/1
- Contact Models in Robotics: a Comparative Analysis2023/4/1
- Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control2022/9/1
- Instruction-driven history-aware policies for robotic manipulations2022/9/1
- Augmenting differentiable physics with randomized smoothing2022/6/1
- Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems2022/3/1
- Goal-Conditioned Reinforcement Learning with Imagined Subgoals2021/7/1
- Learning Object Manipulation Skills via Approximate State Estimation from Real Videos2020/11/1
- Learning Obstacle Representations for Neural Motion Planning2020/8/1
- Learning visual policies for building 3D shape categories2020/4/1
- Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning2019/4/1