Ingmar Posner
収録論文 57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
- Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models2026/6/1
- Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks2026/4/1
- Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications2025/10/8
- Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly2025/10/1
- Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications2025/10/1
- Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control2025/9/1
- Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach2025/8/1
- Is Single-View Mesh Reconstruction Ready for Robotics?2025/5/1
- Task and Joint Space Dual-Arm Compliant Control2025/4/1
- Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One?2025/3/1
- LUMOS: Language-Conditioned Imitation Learning with World Models2025/3/1
- COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping2025/2/1
- Offline Adaptation of Quadruped Locomotion using Diffusion Models2024/11/1
- A Review of Differentiable Simulators2024/7/1
- Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion2024/5/1
- D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation2024/3/1
- DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer2024/2/1
- TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer2023/11/1
- You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example2023/5/1
- RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning2023/5/1
- Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space2023/3/1
- Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments2023/3/1
- Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation2022/10/1
- VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation2022/5/1
- Zero-Shot Category-Level Object Pose Estimation2022/4/1
- Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry2022/3/1
- Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning2022/1/1
- Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion2021/12/1
- Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement2021/11/1
- From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence2021/10/1
- APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation2021/5/1
- Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery2021/3/1
- There and Back Again: Learning to Simulate Radar Data for Real-World Applications2020/11/1
- First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion2020/7/1
- Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments2020/3/1
- Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives2020/3/1
- Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar2020/1/1
- Imagine That! Leveraging Emergent Affordances for 3D Tool Synthesis2019/9/1
- The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset2019/9/1
- Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information2019/9/1
- End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning2019/7/1
- GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations2019/7/1
- On the Limitations of Representing Functions on Sets2019/1/1
- Probably Unknown: Deep Inverse Sensor Modelling In Radar2018/10/1
- Incremental Adversarial Domain Adaptation for Continually Changing Environments2017/12/1
- Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments2017/11/1
- What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics2017/8/1
- Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation2017/3/1
- Incorporating Human Domain Knowledge into Large Scale Cost Function Learning2016/12/1
- Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy2016/10/1
- Resource-Performance Trade-off Analysis for Mobile Robot Design2016/9/1
- Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks2016/9/1
- Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks2016/9/1
- Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments2016/7/1
- End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks2016/4/1
- Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks2016/2/1
- Modelling Observation Correlations for Active Exploration and Robust Object Detection2014/1/1