Georgia Chalvatzaki
TU Darmstadt
収録論文 60本 ・ フィジカルAI/ロボット学習
マニピュレーション
※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
- GORDON: 長期的操作の分解のためのグラフベースのオブジェクト中心報酬マニピュレーション2026/8/4
視覚デモから密な報酬を学習し、長期的な操作タスクを自動的にサブタスクに分解するフレームワークを提案。
- GORDON: Graph-based Object-centric Rewards for Decomposition of Long-Horizon Manipulation2026/8/1
- Globalized Constrained Stein Variational Inference for Diverse Feasible Robot Motion Planning2026/7/1
- Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation2026/6/1
- Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation2026/6/1
- HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning2026/6/1
- Real-World Deployment of Massively Parallel Sampling-Based MPC for Contact-Rich Manipulation2026/6/1
- Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation2026/5/1
- Nautilus: From One Prompt to Plug-and-Play Robot Learning2026/5/1
- IMPACT: An Implicit Active-Set Augmented Lagrangian for Fast Contact-Implicit Trajectory Optimization2026/5/1
- Bimanual Robot Manipulation via Multi-Agent In-Context Learning2026/4/1
- Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric Reasoning2026/4/1
- Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers2026/4/1
- MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation2026/3/1
- Stein Variational Ergodic Surface Coverage with SE(3) Constraints2026/3/1
- MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation2026/2/1
- Robot-DIFT: Correspondence-Sensitive Diffusion Features for Contact-Rich Robot Manipulation2026/2/1
- Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning2026/1/1
- Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning2025/11/1
- SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation2025/11/1
- UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene2025/10/1
- The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation2025/9/1
- Adaptive Diffusion Constrained Sampling for Bimanual Robot Manipulation2025/5/1
- Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation2025/5/1
- Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference2025/4/1
- On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting2025/4/1
- 2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos2025/3/1
- 6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting2024/12/1
- Global Tensor Motion Planning2024/11/1
- ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching2024/9/1
- Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields2024/9/1
- Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations2024/8/1
- MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations2024/7/1
- Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers2024/2/1
- Transition State Clustering for Interaction Segmentation and Learning2024/2/1
- Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation2023/12/1
- Learning Multimodal Latent Dynamics for Human-Robot Interaction2023/11/1
- Domain Randomization via Entropy Maximization2023/11/1
- Active-Perceptive Motion Generation for Mobile Manipulation2023/10/1
- Accelerating Motion Planning via Optimal Transport2023/9/1
- Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering2023/6/1
- Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning2023/5/1
- Hierarchical Policy Blending As Optimal Transport2022/12/1
- MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction2022/10/1
- Active Exploration for Robotic Manipulation2022/10/1
- Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing2022/10/1
- Hierarchical Policy Blending as Inference for Reactive Robot Control2022/10/1
- Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction2022/9/1
- SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion2022/9/1
- Learning Implicit Priors for Motion Optimization2022/4/1
- Robot Learning of Mobile Manipulation with Reachability Behavior Priors2022/3/1
- Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery2022/3/1
- Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking2022/3/1
- Regularized Deep Signed Distance Fields for Reactive Motion Generation2022/3/1
- Extended Tree Search for Robot Task and Motion Planning2021/3/1
- Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning2021/3/1
- Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills2020/10/1
- Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation2020/6/1
- LSTM-based Network for Human Gait Stability Prediction in an Intelligent Robotic Rollator2018/12/1
- A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task2018/12/1