Joni Pajarinen

収録論文 33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

• Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection
  2026/7/1
• Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing
  2026/5/1
• Dexterous Robotic Piano Playing at Scale
  2025/11/1
• Controllable Generative Trajectory Prediction via Weak Preference Alignment
  2025/10/1
• ProTerrain: Probabilistic Physics-Informed Rough Terrain World Modeling
  2025/10/1
• Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
  2025/8/1
• MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects
  2025/7/1
• Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance
  2025/5/1
• Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
  2025/3/1
• Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
  2025/2/26
• Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
  2025/2/1
• Bi-Level Motion Imitation for Humanoid Robots
  2024/10/1
• ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation Models
  2024/8/1
• RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
  2024/8/1
• ROER: Regularized Optimal Experience Replay
  2024/7/1
• Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
  2024/6/1
• Exploiting Local Observations for Robust Robot Learning
  2023/9/1
• Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning
  2023/9/1
• Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
  2023/9/1
• Simplified Temporal Consistency Reinforcement Learning
  2023/6/1
• Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation
  2023/3/1
• Continuous Monte Carlo Graph Search
  2022/10/1
• Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
  2022/10/1
• Partially Observable Markov Decision Processes in Robotics: A Survey
  2022/9/1
• GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control
  2022/2/1
• Neural Network Controller for Autonomous Pile Loading Revised
  2021/3/1
• POMDP Manipulation Planning under Object Composition Uncertainty
  2020/10/1
• Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization
  2020/7/1
• Deep Adversarial Reinforcement Learning for Object Disentangling
  2020/3/1
• Probabilistic approach to physical object disentangling
  2020/2/1
• An Algorithmic Perspective on Imitation Learning
  2018/11/1
• Hybrid control trajectory optimization under uncertainty
  2017/2/1
• Robotic manipulation of multiple objects as a POMDP
  2014/2/1