Robot Skill Learning

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21 papers in the last four weeks, up 17% on the four weeks before. 0.2% of all new papers.

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Latest papers 261

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RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data
May 13, 2026Harold Haodong Chen, Sirui Chen, Yingjie Xu +2Robot Skill Learning Synthetic Data Generation for Robotics
1The Hong Kong University of Science and Technology (Guangzhou) · 2The Hong Kong University of Science and Technology
Manipulation Planning for Construction Activities with Repetitive Tasks
May 13, 2026Wangyi Liu, Dasharadhan Mahalingam, Fanru Gao +2Robotic Construction Long-Horizon Robotic Manipulation
Department of Mechanical Engineering, Stony Brook University, NY, USA. · Department of Civil Engineering, Stony Brook University, NY, USA.
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
May 12, 2026Matthew M. Hong, Jesse Zhang, Anusha Nagabandi +1Robot Policy Adaptation Robot Skill Learning
University of Washington · Amazon FAR
X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction
May 12, 2026Kai Xiong, Hongjie Fang, Lixin Yang +1Robot Skill Learning Visuomotor Policy Learning
Shanghai Jiao Tong University
PriorVLA: Prior-Preserving Adaptation for Vision-Language-Action Models
May 11, 2026Xinyu Guo, Bin Xie, Wei Chai +4Robot Policy Adaptation Robot Skill Learning
Institute of Automation, Chinese Academy of Sciences · Dexmal · Nanjing University of Aeronautics and Astronautics +1
Data-Asymmetric Latent Imagination and Reranking for 3D Robotic Imitation Learning
May 11, 2026Lianghao Luo, Xizhou Bu, Ruyan Liu +5Robot Skill Learning World Models
Morphi
Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching
May 10, 2026Kejia Ren, Gaotian Wang, Andrew S. Morgan +1Domain Randomization Robot Skill Learning
Department of Computer Science, Rice University · Robotics and AI Institute
SABER: A Scalable Action-Based Embodied Dataset for Real-World VLA Adaptation
May 10, 2026Narsimha Menga, Parikshit Sakurikar, Amirreza Rouhi +6Robot Skill Learning Robotic Data Collection
DreamVu1
BrickCraft: Visuomotor Skill Composition with Situated Manual Guidance for Long-Horizon Interlocking Brick Assembly
May 8, 2026Jichuan Yu, Bowei Li, Zhenran Tang +4Robotic Construction Long-Horizon Robotic Manipulation
Tsinghua University · Carnegie Mellon University
LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts
May 6, 2026Seungeun Rho, Shamel Fahmi, Jeonghwan Kim +3Reinforcement Learning Robot Skill Learning
1RAI Institute, Cambridge, MA, USA · Georgia Institute of Technology, Atlanta, GA, USA
Good in Bad (GiB): Sifting Through End-user Demonstrations for Learning a Better Policy
May 2, 2026Noushad Sojib, Ola Ghattas, Momotaz BegumRobot Policy Learning Robot Skill Learning
Department of Computer Science, University of New Hampshire, USA
Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation
May 2, 2026Xitie Zhang, Aming Wu, Yahong HanICL for Robotics Zero-Shot Robotic Manipulation
School of Artificial Intelligence, College of Intelligence and Computing, Tianjin University, China · School of Computer Science and Information Engineering, Hefei University of Technology, China
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
May 1, 2026Devdutt Subhasish, Henrik Hose, Sebastian TrimpeRobot Skill Learning Autonomous Racing
Institute for Data Science in Mechanical Engineering, RWTH Aachen University, 52062 Aachen
Robot Learning from Human Videos: A Survey
Apr 30, 2026Junyi Ma, Erhang Zhang, Haoran Yang +4Robot Skill Learning Robotic Manipulation
Shanghai Jiao Tong University, China · University of Cambridge, UK
Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation
Apr 26, 2026Haoming Xu, Lei Lei, Jie Gu +3Robot Skill Learning Contact-Rich Robotic Manipulation
Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China. · Rightly Robotics, Hangzhou, China. · Shanghai Innovation Institute, Shanghai, China. +2
RL Token: Bootstrapping Online RL with Vision-Language-Action Models
Apr 24, 2026Charles Xu, Jost Tobias Springenberg, Michael Equi +4RL for Robotics Robot Skill Learning
Physical Intelligence
GazeVLA: Learning Human Intention for Robotic Manipulation
Apr 24, 2026Chengyang Li, Kaiyi Xiong, Yuan Xu +3Long-Horizon Robotic Manipulation Robot Skill Learning
Shanghai Jiao Tong University · Peking University · ShanghaiTech University +1
An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments
Apr 24, 2026Hong SuContinual Robot Learning Robot Skill Learning
School of Computer Science, Chengdu University of Information Technology, Chengdu, China.
Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training
Apr 23, 2026Yaxuan Li, Zhongyi Zhou, Yefei Chen +5Robot Policy Learning Robot Policy Adaptation
Current Robotics · Tsinghua University · Peking University +1
MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation
Apr 22, 2026Markus Knauer, Edoardo Fiorini, Maximilian Mühlbauer +10Robot Skill Learning Robot Imitation Learning
German Aerospace Center (DLR), Institute of Robotics and Mechatronics (RMC), Münchener Str. 20, 82234 Weßling, Germany · School of Computation, Information and Technology (CIT), Technical University of Munich (TUM), Arcisstr. 21, 80333 Munich, Germany
JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy
Apr 22, 2026Tianle Zhang, Zhihao Yuan, Dafeng Chi +59Robot Skill Learning Robot Foundation Models
COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation
Apr 20, 2026Alex Mitrevski, Ayush SalunkeRobot Skill Learning Robotic Data Collection
Division of Systems and Control, Chalmers University of Technology, Gothenburg, Sweden · Autonomous Systems Group, Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany
$π_{0.7}$ : a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Apr 16, 2026Physical Intelligence, Bo Ai, Ali Amin +85Robot Policy Learning Robot Skill Learning
One-Shot Cross-Geometry Skill Transfer through Part Decomposition
Apr 16, 2026Skye Thompson, Ondrej Biza, George KonidarisRobot Skill Learning Generalization in Robotic Manipulation
Brown University · Northeastern University
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Apr 8, 2026Ryan Punamiya, Simar Kareer, Zeyi Liu +37Robot Skill Learning Robotic Data Collection
Georgia Institute of Technology · Stanford University · University of California San Diego +5
Generalizable Dense Reward for Long-Horizon Robotic Tasks
Mar 31, 2026Silong Yong, Stephen Sheng, Carl Qi +6Reinforcement Learning Long-Horizon Robotic Manipulation
Carnegie Mellon University · Amazon Robotics · UT Austin
Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
Mar 17, 2026Yanru Wu, Weiduo Yuan, Esteban Martinez Licon +4Long-Horizon Robotic Manipulation Robot Skill Learning
USC Physical Superintelligence Lab
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
Mar 16, 2026Zifan Xu, Ran Gong, Maria Vittoria Minniti +10Long-Horizon Robotic Manipulation Robot Skill Learning
Robotics and AI Institute · University of Texas at Austin · Sony AI
Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation
Mar 12, 2026Chongyang Xu, Yixian Zou, Tianyu Yang +4Robot Policy Learning Robot Skill Learning
College of Computer Science, Sichuan University, Chengdu, China · School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
Mar 10, 2026Zhanyi Sun, Shuran SongRL for Robotics Robot Policy Learning
1Stanford University.

May 13, 2026, cs.ROJ/K move · Enter open · S save

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data

Harold Haodong Chen, Sirui Chen, Yingjie Xu, Wenhang Ge+1

1The Hong Kong University of Science and Technology (Guangzhou) · 2The Hong Kong University of Science and Technology

Robot Skill Learning Synthetic Data Generation for Robotics Robotic Manipulation Data-Efficient Robot Learning VLMs for Robotics Robot Learning

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The scalability of robotic manipulation is fundamentally bottlenecked by the scarcity of task-aligned physical interaction data. While vision-language models (VLMs) and video generation models (VGMs) hold promise for autonomous data synthesis, they suffer from semantic-spatial misalignment and physical hallucinations, respectively. To bridge this gap, we introduce RoboEvolve, a novel framework that couples a VLM planner and a VGM simulator into a mutually reinforcing co-evolutionary loop. Operating purely on unlabeled seed images, RoboEvolve leverages a cognitive-inspired dual-phase mechanism: (i) daytime exploration fosters physically grounded behavioral discovery through a semantic-controlled multi-granular reward, and (ii) nighttime consolidation mines "near-miss" failures to stabilize policy optimization. Guided by an autonomous progressive curriculum, the system naturally scales from simple atomic actions to complex tasks. Extensive experiments demonstrate that RoboEvolve (I) achieves superior effectiveness, elevating base planners by 30 absolute points and amplifying simulator success by 48% on average; (II) exhibits extreme data efficiency, surpassing fully supervised baselines with merely 500 unlabeled seeds--a 50x reduction; and (III) demonstrates robust continual learning without catastrophic forgetting.

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Latest papers 261