Key papers

• The Regretful Agent: Heuristic-aided Navigation Through Progress Estimation (2019)
  Chih-Yao Ma, Zuxuan Wu, Ghassan Alregib, et al.
  19.27
• RoboTTT: Context Scaling for Robot Policies (2026)
  Yunfan Jiang et al.
  12.33
• One Step At A Time: Long-horizon Vision-and-language Navigation With Milestones (2022)
  Chan Hee Song, Jihyung Kil, Tai-Yu Pan, et al.
  9.59
• Starvla-\(\alpha\): Reducing Complexity In Vision-language-action Systems (2026)
  Jinhui Ye, Ning Gao, Senqiao Yang, et al.
  8.63
• Language-conditioned Imitation Learning With Base Skill Priors Under Unstructured Data (2023)
  Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, et al.
  8.35
• Making Friends In The Dark: Ad Hoc Teamwork Under Partial Observability (2023)
  João G. Ribeiroa, Cassandro Martinhoa, Alberto Sardinhaa, et al.
  5.84
• Os-genesis: Automating GUI Agent Trajectory Construction Via Reverse Task Synthesis (2024)
  Qiushi Sun, Kanzhi Cheng, Zichen Ding, et al.
  5.24
• LIME: Learning Intent-aware Camera Motion from Egocentric Video (2026)
  Boyang Sun et al.
  5.01
• DriftWorld: Fast World Modeling through Drifting (2026)
  Susie Lu et al.
  5.01
• Ordered Action Tokens for Visuomotor Policy Learning (2026)
  Chaoqi Liu et al.
  5.01
• HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers (2026)
  Lizhi Yang et al.
  4.95
• VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models (2026)
  Shengyu Si et al.
  4.90
• Cuberobot: Grounding Language In Rubik's Cube Manipulation Via Vision-language Model (2025)
  Feiyang Wang, Xiaomin Yu, Wangyu Wu
  4.47
• From World Models to World Action Models: A Concise Tutorial for Robotics (2026)
  Xiaoxiong Zhang et al.
  4.39
• Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review (2026)
  Inkyu Sa et al.
  4.39
• GeoProp: Grounding Robot State in Vision for Generalist Manipulation (2026)
  Guoyang Zhao et al.
  4.39
• Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report (2026)
  Xufeng Zhao et al.
  4.39
• Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation (2026)
  Zhenduo Shang et al.
  4.39
• Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination (2026)
  Jiaqi Li et al.
  4.39
• Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation (2026)
  Boyuan Xiao et al.
  4.33
• Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering (2026)
  Maxim Mednikov et al.
  4.27
• ProgVLA: Progress-Aware Robot Manipulation Skill Learning (2026)
  Seungsu Kim et al.
  4.27
• GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation (2026)
  Beichen Shao et al.
  4.27
• Self-monitoring Navigation Agent Via Auxiliary Progress Estimation (2019)
  Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, et al.
  4.18
• Zerogui: Automating Online GUI Learning At Zero Human Cost (2025)
  Chenyu Yang, Shiqian Su, Shi Liu, et al.
  4.15
• Self-Guided Action Diffusion (2025)
  Rhea Malhotra et al.
  3.92
• PIVOT-R: Primitive-driven Waypoint-aware World Model For Robotic Manipulation (2024)
  Kaidong Zhang, Pengzhen Ren, Bingqian Lin, et al.
  3.58
• Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation (2026)
  Shenghui Zhang et al.
  3.51
• Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data (2026)
  Usman M. Khan
  3.51
• PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments (2026)
  Raul Castilla-Arquillo et al.
  3.51
• Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models (2026)
  Lang Cao et al.
  3.45
• Efficientnav: Towards On-device Object-goal Navigation With Navigation Map Caching And Retrieval (2025)
  Zebin Yang, Sunjian Zheng, Tong Xie, et al.
  3.03
• MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation (2025)
  Diana Bolanos et al.
  2.99
• HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning (2025)
  Wensheng Wang et al.
  2.71
• How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning (2026)
  Bosung Kim et al.
  1.94
• Event-Grounded Sparse Autoencoders for Vision-Language-Action Policies (2026)
  Xinchen Jin et al.
  1.94
• Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications (2026)
  Vignesh Subramanian et al.
  1.94
• ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL (2026)
  Yikang Gui et al.
  1.94
• RhinoVLA Technical Report (2026)
  Huixi Technology et al.
  1.94
• Real-Time Execution with Autoregressive Policies (2026)
  Sangkyu Lee et al.
  1.94
• Recursive Belief Vision Language Action Models (2026)
  Vaidehi Bagaria, Bijo Sebastian, Nirav Kumar Patel
  1.94
• Pavlovian-Inspired Cue-Outcome Association for Autonomous Agent Navigation (2026)
  M. Saeidi et al.
  1.94
• Progagent:a Continual RL Agent With Progress-aware Rewards (2026)
  Jinzhou Tan, Gabriel Adineera, Jinoh Kim
  1.94
• SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control (2026)
  Stavros Orfanoudakis et al.
  1.89
• Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters (2026)
  Lingxiao Kong et al.
  1.89
• Reinforcing VLAs in Task-Agnostic World Models (2026)
  Yucen Wang et al.
  1.89
• FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy (2026)
  Qian He et al.
  1.89
• ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop (2026)
  Yining Hong et al.
  1.89
• Anticipation-vla: Solving Long-horizon Embodied Tasks Via Anticipation-based Subgoal Generation (2026)
  Zhilong Zhang, Wenyu Luo, Haonan Wang, et al.
  1.89
• Can Tabular Foundation Models Guide Exploration in Robot Policy Learning? (2026)
  Buqing Ou and Frederike D\"umbgen
  1.83
• Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries (2026)
  Paul Nitschke and Shahriar Talebi
  1.78
• Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy (2026)
  Pengyuan Wu et al.
  1.78
• Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning (2026)
  Jiaheng Hu et al.
  1.78
• Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control (2026)
  Hao Ma et al.
  1.78
• Specification-Aware Distribution Shaping for Robotics Foundation Models (2026)
  Sad{\i}k Bera Y\"uksel et al.
  1.78
• TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches (2026)
  Zhengxian Huang et al.
  1.78
• Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection (2026)
  Abhishek Paudel et al.
  1.78
• Llm-guided Decentralized Exploration With Self-organizing Robot Teams (2026)
  Hiroaki Kawashima, Shun Ikejima, Takeshi Takai, et al.
  1.78
• Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning (2026)
  Akshay Mete et al.
  1.72
• Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation (2026)
  Guojian Zhan et al.
  1.72