Technology areas
Data and simulation
Demonstration, teleoperation for data collection, motion retargeting, robot datasets, data quality, physics simulation, synthetic data, digital twins, domain randomization, and sim-to-real transfer. The focus is data, environments, and tools for training and validation. Simulation used only to validate a new learning algorithm does not automatically qualify.
136 selected · 91 in the last 30 days
LimX Dynamics ·
LimX Dynamics releases humanoid VLA model V³-0 alongside COSA 0.5
LimX Dynamics released V³-0 alongside COSA 0.5, a humanoid VLA technology stack in its VLA-tools layer that supports mobile whole-body manipulation, running on the 43-DOF LimX humanoid robot Oli.
RoboParty · 微信公众号 ·
RoboParty Lab Established, Open-Sources Three Humanoid Robot Toolchains for Training, Control, and Data
RoboParty announced the establishment of RoboParty Lab and open-sourced three humanoid robot toolchains: the supervised learning training framework MimicLite, the unsupervised reinforcement learning control framework UFO, and the motion retargeting tool hhtools.
PsiBot/灵初智能 ·
Lingchu Intelligence and PKU-Lingchu Joint Lab Release and Open-Source Dual Dexterous Hand General Manipulation Model and Full-Stack System EgoSteer
Lingchu Intelligence and the PKU-Lingchu Joint Lab released and open-sourced the dual dexterous hand general manipulation model and full-stack system EgoSteer, comprising the data processing pipeline EgoSmith, the robotics technology stack Robot-Stack, and a world-model-enhanced VLA model.
蚂蚁灵波科技 · YouTube ·
Ant Lingbo Open-Sources Embodied Video Foundation Model LingBot-Video, Scoring 0.620 on RBench
Ant Lingbo has open-sourced LingBot-Video, a MoE video foundation model for embodied intelligence. It uses a DiT plus sparse MoE architecture with 30B parameters and 3B activated at inference, and is claimed to be about 3 times more efficient than dense models.
智源研究院 · 微信公众号 ·
BAAI releases multimodal representation world model Wujie·RoboBrain Orca
BAAI has released the multimodal representation world model Wujie·RoboBrain Orca. Its core idea is to shift from predicting the next word, next frame, or next action to predicting the next world state: it first learns a unified latent world representation, then adapts to downstream tasks through three lightweight readout modules for text, images, and actions.
Robot.com Holdings Inc. ·
Robot.com releases R-KNav 10,000-hour sidewalk navigation dataset and launches FoMo Challenge
Robot.com has released the R-KNav dataset and launched the FoMo Challenge, inviting the community to train visual navigation models on real data from its R-kiwi sidewalk delivery robot fleet and to evaluate them in controlled tests on physical robots.
Holiday Robotics ·
South Korea's Ministry of Science and ICT Launches Physical AI Leading Technology R&D Project, Investing 34 Billion Won Over Two Years to Advance World Model Localization
South Korea's Ministry of Science and ICT held a launch briefing for the Physical AI Leading Technology R&D Project in Seoul on June 9, planning to invest 34 billion won over two years to jointly develop a Korean-style world model and domestic simulator with 10 industry-academia-research institutions including LG Electronics, aiming to raise robots' final action success rate by more than 20 percentage points compared with not using a world model, and planning to achieve an MVP within one year and eight months and conduct validation at manufacturing and logistics sites.
PKU EPIC Lab ·
PKU EPIC Lab proposes LIMMT, a data-centric study for humanoid motion tracking, accepted to ICML 2026
PKU EPIC Lab released LIMMT (Less Is More for Motion Tracking), which it describes as the first data-centric study for physics-based simulated humanoid motion tracking. The method defines motion data quality along three dimensions: physics feasibility, diversity, and complexity. Training on less than 3% of AMASS achieves better tracking performance than training on the full dataset, and the team also cleaned web-sourced mocap data. The paper has been accepted to ICML 2026; see arXiv:2606.06953.
Genesis AI · X ·
Genesis AI open-sources simulation platform Genesis World 1.0, plus Quadrants and Nyx
Genesis AI has released and open-sourced its simulation platform Genesis World 1.0, along with the GPU-accelerated computing project Quadrants and the path-tracing rendering engine Nyx, claiming that one hour of reality can become 100 days in simulation.
Genesis AI · YouTube ·
Genesis AI open-sources simulation platform Genesis World 1.0
Genesis AI has released and open-sourced Genesis World 1.0, the second product in its full-stack suite, alongside the Quadrants compute library and the Nyx rendering engine.
Ars Technica ·
Hugging Face launches LeRobot Humanoid 3D-printed bipedal robot platform at about $2,500
Hugging Face has released the LeRobot Humanoid full-stack project, with a pair of humanoid robot legs priced at $2,500, built from 3D-printed parts and off-the-shelf components. The release includes a bill of materials, 3D printing files, wiring documentation, assembly instructions, and software tools for calibrating and controlling the robot both on the physical body and in simulation.
LimX Dynamics ·
LimX Dynamics Open-Sources FluxVLA Engine, a Standardized VLA Engineering Foundation
LimX Dynamics has officially open-sourced FluxVLA Engine, a standardized VLA engineering foundation for embodied intelligence that covers the full pipeline from data and training to simulation evaluation and real-robot deployment.
简智机器人 · X ·
Genrobot open-sources Phase 3 UMI dual-arm manipulation dataset
Genrobot has open-sourced the Phase 3 UMI dataset, containing 13K+ hours of dual-arm data that is ready to use and supports sub-1ms frame-level synchronization and high-fidelity trajectory reconstruction. The data was collected by 3K+ contributors in 10K+ real homes, covering diverse everyday manipulation skills. Download at https://huggingface.co/datasets/genrobot2025/10Kh-RealOmin-OpenData.
PsiBot/灵初智能 ·
Lingchu Intelligence releases Psi-R2 and Psi-W0, open-sources 1,000-hour full-modality human hand manipulation dataset
On April 10, Lingchu Intelligence released Psi-R2, pretrained on human data, and the Action-Conditioned World Model Psi-W0, and open-sourced the first 1,000 hours of a full-modality human hand manipulation dataset, with total data reserves reaching 100,000 hours.
PsiBot/灵初智能 ·
Lingchu Intelligence Releases Psi-R2 and Psi-W0 Dual Models, Pretrained on 100,000 Hours of Human Data
Lingchu Intelligence released two models, Psi-R2 and Psi-W0, which it calls the industry's first embodied intelligence models pretrained on human data at the 100,000-hour scale.
Berkeley AUTOLAB ·
CaP-X: Benchmarking and Improvement Framework for Robot Manipulation Coding Agents Released
Teams including Berkeley AUTOLAB propose CaP-X, an open framework for systematically studying Code-as-Policy agents in robot manipulation, centered on the interactive environment CaP-Gym and CaP-Bench, which evaluates 12 frontier models.
Dexterity ·
Dexterity details evaluation methods and production metrics for the Foresight packing agent
Dexterity published an article introducing system evaluation and production measurement for the Foresight packing agent. On the planning side, it was tested on four real warehouse box-type distributions, with density of 0.65–0.77 and stability of 99.7–100%, and distribution-free order statistics were used to give 95% confidence intervals; the article also found that randomly shuffling the box sequence causes local variance to collapse by about 1.4 times, making evaluation overly optimistic.
Sunday Robotics ·
Sunday Robotics closes $165 million Series B to advance real-world deployment of home robot Memo
Sunday Robotics has closed an oversubscribed $165 million Series B at a valuation of $1.15 billion, led by Coatue, with Thomas Laffont joining the board. The company will stop giving demos and focus on real-world deployment of its robot Memo, with a beta program opening to users this fall. Its engineering team has grown 3x, research 4x, and data operations 5x, and the company says it has a full stack from its Skill Capture Glove and in-house hardware to manufacturing, along with data advantages.
Toyota Research Institute Robotics ·
Toyota Research Institute explains statistical thinking for robot policy evaluation: from rigorous A/B testing to effective visualization
The Toyota Research Institute (TRI) published a tutorial article introducing a statistical A/B testing method based on success/failure labels for robot policy evaluation.
RealMan/睿尔曼 ·
Realman Intelligent announces nearly 500 million yuan in funding to build AUTRON production line super factory
Realman Intelligent announced it has completed nearly 500 million yuan in funding, jointly and strategically invested by industrial parties from multiple listed companies. The funds will go toward product R&D, construction of the AUTRON production line super factory, and global ecosystem development. The article states that its integrated joint modules exceeded an annual production capacity of 100,000 units in 2025, that its robotic arms passed CR L3 certification and achieved a mean time between failures of 50,000 hours, and that the GLN remote operation network and the Beijing Humanoid Robot Data Training Center have accumulated tens of millions of real-machine trajectory segments. The company serves more than 8,000 enterprise users worldwide.