2026/07/10[ACMMM’26]MMaDA-VLA, a fully native pre-trained large diffusion VLA model that unifies multi-modal understanding and generation in a single framework, got accepted for ACMMM 2026! See Project page for more details!
RynnWorld-4D is a 4D embodied world model that co-produces future RGB frames, depth maps, and optical flow from a single RGB-D image and a language instruction within one unified diffusion process. We further introduce RynnWorld-4D-Policy, an inverse dynamics head that consumes the internal 4D representations of RynnWorld-4D in a single forward pass, bypassing costly multi-step denoising, to output robot actions in a closed-loop manner. This positions RynnWorld-4D as a powerful 4D action planner for next-generation robotic learning. See Project page for more details! Got #1 Paper of the day on huggingface papers!
RynnWorld-Teleop is an action-conditioned world model for digital teleoperation, replacing the physical robot to decouple data collection from real-world constraints. Policies trained solely on its generated data achieve zero-shot Sim2Real transfer across diverse bimanual tasks, and augmenting real-world datasets with our digital teleoperation data consistently improves success rates. This positions RynnWorld-Teleop as a high-fidelity, scalable data engine for next-generation robotic learning. See Project page for more details! Got #3 Paper of the day on huggingface papers!
2026/07/03[Preprint] We released VLA-Corrector, a lightweight corrective inference framework for action-chunked VLA policies!
2026/06/18[ECCV’26]Articulat3D, a novel framework for constructing high-fidelity digital twins of articulated objects from casually captured monocular videos, got accepted for ECCV 2026! See Project page for the overview video!
2026/06/02[Preprint] We released STaR-KV, a training-free KV cache compression framework for GUI agents!
2026/02/21[CVPR’26] 2 papers (HiF-VLA and V²Drop) got accepted for CVPR 2026 (Main Conference)!
2026/02/18[RA-L]RoboSimGS, a novel Real2Sim2Real framework that converts multi-view real-world images into scalable, high-fidelity, and physically interactive simulation environments for robotic manipulation, got accepted for RA-L! See Project page for the overview video!
2026/02/10[RynnBrain] We presented RynnBrain, an embodied foundation model grounded in physical reality, including dense (2B, 8B) and MoE (30B) variants, alongside three specialized models: RynnBrain‑Plan (manipulation planning), RynnBrain‑Nav (navigation), and RynnBrain‑CoP (spatial reasoning). See Github and Chinese report from 机器之心. 2026/02/19 We released the technical report!
2026/01/31[ICRA’26]RynnVLA-001, the VLA foundation model, got accepted for ICRA 2026!
2026/01/22[Talk] I gave a talk titled Physical AI Ecosystem: Tackling the Key Barriers to Embodied Intelligence in AAAI-26 Interactive Industry Sessions.
2025/12/11[Preprint] We released HiF-VLA (Hindsight, Insight, and Foresight for VLAs), a unified framework that encodes past dynamics through hindsight priors, anticipates future motion via foresight reasoning, and integrates both through a hindsight-modulated joint expert to enable a “think-while-acting” paradigm for long-horizon manipulation! Project page and Code are available! 2026/02/21 HiF-VLA got accepted for CVPR 2026!
2025/11/24[Preprint] We released RynnVLA-002, an upgraded version of WorldVLA, a more powerful VLA and world model unified model! Get videos and code at Github!
2025/11/08[AAAI’26] 4 papers got accepted for AAAI 2026! They included training-free MLLM inference acceleration methods FiCoCo and GlobalCom2, dexterous grasping policy AffordDex, and tiny-scale VLA VLA-Adapter.
2025/09/19[NeurIPS’25]SSR got accepted for NeurIPS 2025! The work transforms raw depth data into structured, interpretable textual CoT, enhancing spatial reasoning capabilities of MLLMs. See Project page and Github!
2025/09/12[Preprint] We released VLA-Adapter, which reduces reliance on large-scale VLMs and extensive pre-training by using a lightweight Policy module with Bridge Attention, achieving SOTA performance and fast inference speed with minimal computational resources! Checkpoint has been available! See Project page for more details. Got #1 Paper of the day on huggingface papers! 2025/11/08 VLA-Adapter got accepted for AAAI 2026 Oral!
2025/08/13[Preprint] We released AffordDex, a universal grasping policy for dexterous hands with an inherent understanding of both motion priors and object affordances! Grasping videos can be found in Project page! 2025/11/08 AffordDex got accepted for AAAI 2026!
2025/08/08[DAMO RynnBot] We open-sourced RynnEC: a video MLLM for embodied cognition tasks, RynnVLA-001: a VLA model based on pretrained video generation model, RynnRCP: a complete set of robot service agreements and frameworks! 2025/08/11 We released the technical blog for RynnVLA-001! 2025/09/19 We released the technical report for RynnVLA-001!
2025/08/02[CoRL’25]Long-VLA, a novel framework designed to enhance VLA models for challenging long-horizon robotic manipulation tasks, got accepted for CoRL 2025!
2025/07/24[DAMO RynnBot] We released RynnBot PlayGround Beta, a platform that provides data management, SOTA VLA models, model training and validation, cloud-edge collaborative deployment, and so on! Welcome to follow our continuous progress!
2025/06/27[Preprint] We released WorldVLA, an autoregressive action world model that unifies action and image understanding and generation! Code has been available!
2025/06/26[ICCV’25]CARP, Coarse-to-fine AutoRegressive Prediction for visuomotor policy learning, got accepted for ICCV 2025! The approach produces highly accurate and smooth robot actions, achieving up to a 10% improvement of success rates, and delivers 10x faster inference compared to state-of-the-art policies. Paper, code and cool videos can be found in Project page!
2025/05/22[Preprint] We released VARD, a novel RL fine-tuning method on diffusion-based generative models for both protein structure and text-to-image synthesis, enhancing sample quality with improved efficiency, effective mitigation of reward hacking, and broad applicability.
2025/05/07[Preprint] We released OpenHelix, a low-cost open-source dual-system VLA with systematic empirical evaluations on the core design elements. Code and List of papers have been available!
2025/03/31[Preprint] We released Unicorn to explore the question: can high-quality multimodal training data be synthesized purely from text?
2025/03/11[TCSVT’25]M2IST, a novel Multi-Modal Interactive Side-Tuning method that effectively addresses the challenges of insufficient multi-modal interaction and high GPU memory consumption, got accepted for IEEE Transactions on Circuits and Systems for Video Technology! Code has been available!
2025/02/24[Preprint] We released Humanoid-VLA, a novel framework that integrates language understanding, egocentric scene perception, and motion control, enabling universal humanoid control!
2025/01/28[ICRA’25]QUART-Online, a novel latency-free quadruped MLLM model that achieves real-time inference while boosting the success rate across various tasks by 65%, got accepted for ICRA 2025! See Project page.
2025/01/23[ICLR’25]ToCa, a token-wise feature caching method that achieves a 2x acceleration for PixArt-α, OpenSora, and DiT while maintaining nearly lossless generation quality, got accepted for ICLR 2025! Code has been available!
2025/01/10[Preprint] We released GlobalCom2, a “global-to-local” approach for training-free acceleration of high-resolution MLLMs with AnyRes strategy. Code has been available! 2025/11/08 GlobalCom2 got accepted for AAAI 2026!
