Technology areas
Grasping and manipulation
Grasping, dexterous hand manipulation, dual-arm coordination, assembly, contact-rich manipulation, deformable objects, tool use, and mobile manipulation. The focus is changing an object's state or completing a manipulation task. Hand mechanisms and joint hardware belong under Robot hardware and key components.
96 selected · 47 in the last 30 days
中科慧灵 · 微信公众号 ·
CASIA and others propose World4RL: diffusion world model combined with reinforcement learning to optimize robot manipulation policies, real-world success rate rises to 93.3%
The Institute of Automation of the Chinese Academy of Sciences, Zhongguancun Academy, and the CASBOT team propose World4RL, a policy optimization framework for robot manipulation that combines a diffusion world model with reinforcement learning, enabling robot policies to be optimized end-to-end in imagined trajectories generated by the model without additional real-robot interaction.
PKU EPIC Lab ·
ZETA: A Controlled Study of Zero-Shot Cross-Embodiment VLA Transfer for Tabletop Manipulation
PKU EPIC Lab published the ZETA study on arXiv (arXiv:2609.02546), proposing a unified definition of zero-shot cross-embodiment VLA transfer and a controlled benchmark covering 14 held-out target embodiments, distinguishing strict zero-shot transfer from pretrain-exposed transfer. Experiments show that local end-effector state-action representations, source embodiment diversity, and auxiliary co-training improve transfer by about 15, 18, and 7 percentage points, respectively, and that adding only 5% target-embodiment data during pretraining raises average target-embodiment progress by 13.4 percentage points.
自变量机器人 · 微信公众号 ·
X Square Robot releases TwinDEX: a three-finger, nine-DOF dexterous hand trained on purely embodiment-free data
X Square Robot releases TwinDEX, a pair of twin three-finger, nine-degree-of-freedom dexterous hands: one is wearable for data collection, and one is mounted on a robot for real-machine deployment, enabling dexterous manipulation driven purely by embodiment-free data with zero real-machine teleoperation data.
PsiBot/灵初智能 ·
Lingchu Intelligence completes over $100 million new funding round, with industrial capital including Tuopu Group and Chery Ruicheng Fund participating
Lingchu Intelligence announced the completion of a new funding round of over $100 million. Investors include Tuopu Group, Ruicheng Fund under Chery Holding, Lens Technology, 37 Interactive Entertainment, Wuhu Municipal Investment Holding Group, and Fosun Chuangfu, while existing shareholder Zhuhai Technology Industry Group made an excess additional investment. The proceeds will focus on embodied world model R&D and commercial deployment in logistics and advanced manufacturing scenarios. The company's self-developed dual-system architecture comprises the Psi-R2 manipulation policy model and the Psi-W0 action-conditioned world model, and it plans to expand the scale of human data collection and accelerate the layout of data collection facilities.
Skild AI ·
Skild AI releases robot foundation model S1, achieving in-context learning through video demonstrations
Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.
Elite Robots/艾利特机器人 ·
Elite Embodied Dual-Arm Robots Enter Apple Supply Chain Drilling Workshop for Mass-Production Loading and Unloading
The embodied dual-arm loading and unloading robot jointly developed by Elite and Maixing Robotics has achieved 24/7 unmanned mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds, a loading and unloading yield of 99.9%, and 5 units stably online. The solution uses hybrid force-position control and dynamic trajectory planning to achieve dual-arm coordination, is equipped with the self-developed Yuanqi Primo embodied large model, achieves loading accuracy within ±0.2 mm, and uses a wireless IO four-step handshake scheme to eliminate the need for modifications by the original machine tool manufacturer, shortening the deployment period from 10 days for the first unit to 7 days for the fifth unit.
艾利特机器人 · 微信公众号 ·
Elite embodied dual-arm robots enter Apple supply chain drilling workshops for mass-production loading and unloading
An embodied dual-arm composite loading and unloading robot jointly developed by Elite and Maixing Robotics has been running in mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds and a loading/unloading yield of 99.9%; the first unit has run continuously for more than a year, and 5 units are online simultaneously.
Dexterity ·
FedEx and Dexterity expand deployment of Foresight and Mech automated trailer-loading systems at Hagerstown hub
FedEx and Dexterity announced an expansion of their partnership to deploy Dexterity's Foresight world model and Mech dual-arm trailer-loading system at scale at the Hagerstown hub in Maryland, after the technology completed years of joint development, testing, and operational validation at pilot sites.
Sunday Robotics ·
Sunday Robotics previews ACT-2 model with 99.1% zero-shot success rate in clothes folding
Sunday Robotics previewed its robot model ACT-2, which achieved a 99.1% (±0.3%) zero-shot success rate in clothes folding across diverse unseen home environments with zero per-home adaptation, covering 9 clothing categories across 785 autonomous attempts, with an average folding quality of 4.72/5.
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.
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.
1X Technologies ·
1X releases 25-DOF tendon-driven dexterous hand for NEO humanoid robot
1X Technologies announced a 25-DOF tendon-driven dexterous hand for the NEO humanoid robot platform, which will ship with every NEO unit.
X Square Robot/自变量机器人 ·
X Square Robot releases cross-modal embodied action tokenizer X-Tokenizer, with 13.5% gain in multimodal alignment and 8.25% gain in long-horizon tasks
X Square Robot has released X-Tokenizer, a cross-modal embodied action tokenizer built on a semantic residual quantization (SRQ) architecture and pretrained on 17 robotic arm series and 2.4 million trajectories (including 2 billion action frames). Compared with FAST, it improves multimodal alignment by 13.5% and long-horizon task performance by 8.25%, and scores 82.8 on RoboTwin 2.0; in real-robot tests it outperforms comparison methods such as FAST and 4-level RVQ.
Figure AI ·
Figure 03 arrives at BMW Spartanburg plant for sequencing sorting tasks
Figure AI announced that the Figure 03 humanoid robot has entered Hall 52 at BMW Group Plant Spartanburg, shifting from the sheet metal loading and unloading work previously done by Figure 02 to a sequencing sorting use case; Figure 02 took part in assembling 30,000 vehicles last year.
HUMANOID ·
KinetIQ Ascend uses real-world reinforcement learning to boost humanoid robot manipulation throughput and success rate
HUMANOID has launched KinetIQ Ascend, an end-to-end visual reinforcement learning method that operates under production deployment conditions, extending its KinetIQ framework to let robots improve manipulation skills through trial and error rather than relying solely on human demonstration; the company says this is the first such method publicly demonstrated on production-line humanoid robot manipulation.
Harbin Institute of Technology Robotics ·
HIT's Zhu Yanhe Team Publishes Paper on Cooperative Reconfiguration for Self-Repair in Modular Robots
Professor Zhu Yanhe's team at Harbin Institute of Technology (HIT) published a paper in the International Journal of Extreme Manufacturing (IJEM), proposing an autonomous fault-tolerant repair strategy for modular robots based on cooperative reconfiguration, which restores joint fault damage by changing morphology without backup module replacement. The method combines topological description and kinematic self-modeling, particle swarm optimization to search for target configurations, and an improved RRT cooperative reconfiguration algorithm. In experiments, the fault-tolerance upper limit was 7 times higher than that of fixed-configuration redundancy methods. HIT is the sole completing institution, and doctoral student Qi Jian is the first author.
PKU EPIC Lab ·
KPGrasp: A Scalable Keypoint Flow Matching Method for Dexterous Grasp Generation
PKU EPIC Lab proposes KPGrasp, a dexterous grasp generation method that combines an all-Euclidean 3D hand-keypoint parameterization with a Transformer flow-matching model to learn grasp priors from large-scale data, without contact losses or contact-based test-time optimization.
Figure AI ·
Figure AI shows two Helix-02 humanoid robots collaborating to tidy a bedroom
Figure AI demonstrated two humanoid robots equipped with Helix-02 collaborating to tidy a bedroom within two minutes, completing tasks such as opening a door, hanging clothes, putting away headphones, closing a book, taking out trash, pushing a chair under a desk, and making a bed together. The two robots run the same learned vision-language-action (VLA) policy, with no shared planner, message passing, or central coordinator; each infers the other's intent from its actions via its own cameras. The company says that to its knowledge this is the first demonstration of multi-humanoid collaborative mobile manipulation completed by a single learned neural network directly from pixels to actions.
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.
HUMANOID ·
Siemens and Humanoid test HMND 01 humanoid robot for autonomous bin handling at German factory
Siemens and Humanoid announced that Humanoid's HMND 01 wheeled Alpha humanoid robot has completed testing in logistics operations at Siemens' electronics factory in Erlangen, Germany, autonomously performing tasks to grasp, move, and place bins for operators.