D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation
机构 * Department of Computer Science, University of Southern California（计算机科学系，南加州大学）
Comments Accepted to the Conference on Robot Learning (CoRL) 2025
期刊&会议
CoRL
Conference on Robot Learning · 会议 · Robotics
AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
机构 * Tencent Robotics X（腾讯机器人X） ； Shanghai Jiao Tong University（上海交通大学）
Comments Accepted by Conference on Robot Learning 2025
Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
机构 * Georgia Institute of Technology（佐治亚理工学院）
Comments Conference on Robot Learning 2025
AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies
机构 * Computer Science and Engineering Department, University of Michigan（密歇根大学计算机科学与工程系） ； Robotics Department, University of Michigan（密歇根大学机器人学系） ； Lambda Labs（Lambda实验室）
Comments CoRL 2025
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
Comments The webpage is at https://dex-vla.github.io/. DexVLA is accepted by CoRL 2025
Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
机构 * UESTC
Comments CoRL 2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
机构 * University of Washington（华盛顿大学） ； KAIST（韩国科学技术院） ； Georgia Institute of Technology（佐治亚理工学院）
Comments CoRL 2025
Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching
机构 * Stanford University（斯坦福大学）
Journal ref Conference on Robot Learning 2025
Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
机构 * University of California, Riverside（加州大学河滨分校）
Comments 9th Conference on Robot Learning (CoRL 2025); Project website: https://gen-safe-nav.github.io/. arXiv admin note: text overlap with arXiv:2407.17460
Constraint-Preserving Data Generation for Visuomotor Policy Learning
机构 * Stanford University（斯坦福大学） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Princeton University（普林斯顿大学）
Comments CoRL 2025. Website: https://cp-gen.github.io
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
机构 * Indian Institute of Technology, Kharagpur（印度理工学院，克哈格浦尔分校） ； IIIS, Tsinghua University（清华大学人工智能研究所） ； Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所）
Comments 7 pages. Accepted at the LangRob Workshop 2024 @ CoRL, 2024. Accepted at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
DiWA: Diffusion Policy Adaptation with World Models
机构 * University of Freiburg（弗赖堡大学） ； University of Technology Nuremberg（纽伦堡技术大学）
Comments Accepted at the 2025 Conference on Robot Learning (CoRL)
CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
机构 * National University of Singapore（新加坡国立大学） ； Tongji University（同济大学） ； BITS Pilani（比什朋尼学院）
Comments Accepted for presentation at CORL 2025
"Stack It Up!": 3D Stable Structure Generation from 2D Hand-drawn Sketch
机构 * School of Computing（计算学院） ； Smart Systems Institute（智能系统研究所）
Comments Accepted to CoRL 2025
RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models
机构 * University of Pennsylvania（宾夕法尼亚大学） ； University of British Columbia（不列颠哥伦比亚大学）
Comments Conference on Robot Learning 2025 (CoRL 2025), 17 pages
CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation
机构 * University of Virginia（弗吉尼亚大学）
Comments To appear in Proceedings of the Conference on Robot Learning (CoRL) 2025
ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Comments To appear in CoRL 2025
FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation
机构 * Artificial Intelligence and Robotics Lab, Department of Computer Science and Artificial Intelligence, University of Technology Nuremberg（人工智能与机器人实验室，计算机科学与人工智能系，图腾大学） ； Inria, Ecole Normale Supérieure, CNRS, PSL Research University（法国国家信息与自动化研究所，巴黎高等师范学校，国家科学研究中心，巴黎综合理工研究学院）
Comments Accepted to IROS'25. Previous version accepted at CoRL 2024 workshop on Learning Effective Abstractions for Planning (LEAP) and workshop on Differentiable Optimization Everywhere: Simulation, Estimation, Learning, and Control
Learning Decentralized Multi-Biped Control for Payload Transport
机构 * Collaborative Robotics and Intelligent Systems (CoRIS) Institute（协作机器人与智能系统研究所）
Comments Submitted to CoRL 2024, Project website: decmbc.github.io
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis
机构 * Stanford University（斯坦福大学） ； Toyota Research Institute（丰田研究中心）
Comments Accepted to CoRL 2024
Learning Compositional Behaviors from Demonstration and Language
机构 * Stanford University（斯坦福大学）
Comments Presented at CoRL 2024 and as an Oral Presentation at the 2024 CoRL LEAP Workshop. The first two authors contributed equally. The last two authors jointly advised the project. For videos and additional results, visit: https://blade-bot.github.io/
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
机构 * Georgia Institute of Technology（佐治亚理工学院）
Journal ref Proceedings of Conference on Robot Learning (CoRL) 2022
A Deeper Look into Second-Order Feature Aggregation for LiDAR Place Recognition
机构 * CSIRO Robotics Data61（CSIRO机器人数据61研究所） ； CSIRO
Comments Submitted to CoRL 2025
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Comments To appear at the 7th Annual Conference on Robot Learning (CoRL) 2023
Journal ref Proceedings of the 7th Annual Conference on Robot Learning (CoRL 2023), November 6-9, 2023, Atlanta, Georgia, USA
Learning Transparent Reward Models via Unsupervised Feature Selection
机构 * Aalto University（阿alto大学） ； Tampere University（塔尔皮埃大学） ； Vrije Universiteit Amsterdam（阿姆斯特丹自由大学）
Comments 8 pages, 4 figures
Journal ref Proceedings of the 8th Annual Conference on Robot Learning (CoRL 2024)
Trajectory Adaptation using Large Language Models
Comments Accepted to CoRL LangRob workshop 2024
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation
Comments 4 pages, 3 figures, CoRL 2024 Workshop MAPoDeL
One-Shot Manipulation Strategy Learning by Making Contact Analogies
Comments ICRA 2025; CoRL LEAP Workshop, 2024
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
Comments Accepted to CoRL 2024
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Comments 10 pages, published at the 1st Annual Conference on Robot Learning (CoRL), Code and dataset available at: https://lasr.org/research/feeling-of-success
