Technology areas
Robot models and learning
Robot VLA models, general action and world models, imitation and reinforcement learning, skill and motion policy learning, online adaptation, and transfer across tasks and robot bodies. The contribution is a model, policy, or learning method. Dataset releases belong under Data and simulation; inference deployment belongs under Software and compute systems.
206 selected · 116 in the last 30 days
Leiphone Robotics ·
Columbia's Yunzhu Li team presents FlexiTac open-source tactile sensor progress at IROS 2026
At IROS 2026, Columbia University's Yunzhu Li team presented progress on FlexiTac, an open-source flexible piezoresistive tactile sensor platform, a year and a half after its open-source release. The sensor can be assembled in 3 minutes, bent and cut, and wrapped around gloves, fingertips, or robot skin. The team has integrated it into LeRobot and modified the UMI handheld device to add tactile recording, enabling synchronized visual-tactile data collection and policy pretraining. ADI is advancing a commercial version with tactile resolution five times that of a human finger, manufactured at scale using semiconductor fabrication processes.
雷科技 ·
AgiBot Innovation Day releases Worken work-hour metric and Lingqu OS 1.0
At AgiBot Innovation Day on October 29, AgiBot proposed Worken (effective intelligent work hours), a measurement standard whose formula is number of active robots × autonomous working hours × output efficiency ratio, and released Lingqu OS 1.0, a native operating system for embodied intelligence.
HuggingFace Daily Papers ·
RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
RoboArchitect lets a coding model observe robot rollouts, diagnose failures, and iteratively revise the agent harness around a frozen policy. Without updating any model weights, it raises average success from 9.7% to 43.3% (4.5x) on unseen scenes and from 12.7% to 40.2% (3.2x) on unseen tasks.
Reddit r/robotics ·
PrismaX shares π0.5 policy transfer across YAM devices: fine-tuning ablations, latency bug, and 16GB VRAM deployment
The PrismaX team shared its practice of transferring a π0.5 policy trained on one YAM device to another YAM device, covering three parts: fine-tuning ablations, latency troubleshooting, and VRAM compression. On fine-tuning, training only the action expert yielded a 51% grasp rate and a 12% drop rate; full fine-tuning gave 89% and 53%; r=128 LoRA gave 84% and 59% while using 32GB. Strong lighting roughly halved the performance of the checkpoint trained only on the action expert.
未来机器人网 · 微信公众号 ·
Zhiyuan's Peng Zhihui: First-Half Revenue Near 2 Billion Yuan, 9,700 Humanoid Robots Shipped for Over 43% Global Share
Peng Zhihui, co-founder, president, and CTO of Zhiyuan Robotics, disclosed at the 2026 Zhiyuan Innovation Day that in the first half of 2026 Zhiyuan shipped 9,700 humanoid robots, accounting for more than 43% of the global humanoid robot market, with revenue for the period approaching 2 billion yuan; as of September, cumulative output of general-purpose embodied robots surpassed 20,000 units.
36Kr Embodied Intelligence ·
AgiBot Releases GO-3 Preview, WITA-OMNI and AGILE, Connecting the Full Physical AI Chain
At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model and the AGILE general motion intelligence algorithm framework, and also launched Lingqu OS 1.0 and the AHA3 third-generation hardware architecture.
机器之心 · 微信公众号 ·
AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment
AgiBot has released the embodied model GO-3 Preview, focused on full-pipeline scaled learning across pretraining, post-training, and post-deployment, and it ranked first in three evaluations: RoboDojo, RoboTwin, and RoboColiseum.
机器之心 · 微信公众号 ·
X-Era AI opensources 4D world action model E0.5, real-robot success rate surpasses π0.5
X-Era AI has open-sourced its native 4D world action model E0.5, achieving overall average success rates of 85.0% and 88.3% on the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, respectively, 13.3 and 26.7 percentage points higher than π0.5.
新智元 · 微信公众号 ·
AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end
AgiBot officially released its GO-3 Preview embodied model on October 29, taking Top 1 on robotics leaderboards including RoboDojo, RoboTwin, and RoboColiseum, and expects to fully open source it by year-end.
戴盟机器人 ·
Daimon Robotics completes hundreds of millions in strategic financing, led by Ant Group
Daimon Robotics announced the completion of a strategic funding round of hundreds of millions, led by Ant Group with existing shareholders oversubscribing, just two months after its hundred-million-yuan Series A. The company also launched its tactile-anchored world model Daimon-TWM, with parameter scale at the 10B level, capable of real-time inference on the NVIDIA RTX 5090 platform, and claims that its average success rate on contact-intensive manipulation tasks is twice that of π0.5. Daimon has also built the tactile full-modality dataset Daimon-Infinity; after the first 10,000 hours of data were open-sourced, it received nearly 5 million downloads on the ModelScope community.
云启资本 ·
PHYMI Tech releases first robot Sagi, featuring four-wheeled-legged humanoid configuration and PHYMI BRAIN 1.0
PHYMI officially released its first robot, Sagi, on October 28. It adopts a "four-wheeled-legged humanoid configuration" combining four wheeled legs with a humanoid upper body, dual arms, and a rear box, targeting scenarios such as office delivery, community errands, and outdoor camping transport.
钛媒体 ·
Astra's Shockwave and the Embodied AI Industry's 50 Days
In the 50 days since GPT-6 Astra was released, the embodied AI industry has conducted intensive evaluations and discussions around it, and general-purpose large models have begun directly taking over robot operation. Tests by SenseTime and several institutions concluded that Astra is basically capable of completing embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control, and response speed. The article also reviews industry uses such as using Astra directly for policies, reviewing VLA actions, building simulation environments, and data annotation, as well as chain reactions including cooling financing and major companies stepping up data collection.
AgiBot ·
AGIBOT Unveils Worken Metrics Framework, AHA3 Hardware Platform, and G2 Max Industrial Robot at 2026 Innovation Day
At its 2026 Innovation Day, AGIBOT proposed the Worken (effective intelligent working hours) framework, which measures robots' effective output in real environments using three metrics: number of active robots, autonomous working hours, and output efficiency ratio.
HuggingFace Daily Papers ·
CaPtain: A Post-Training Pipeline for Code-as-Policy Robot Agents
CaPtain proposes an open post-training pipeline that trains small open vision-language models such as Qwen3.5-4B into code-as-policy (CaP) robot agents that do not rely on VLAs, frontier models, or privileged state at test time.
AgiBot ·
AgiBot releases embodied foundation model GO-3 Preview, ranks first on three embodied intelligence benchmarks
AgiBot has released the embodied foundation model GO-3 Preview, built on its self-developed WRAM (World Reasoning Action Model) architecture that unifies task understanding, future state prediction, and action generation, and it ranks first on three embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. It is planned to be fully open-sourced by the end of 2026.
36氪 · 微信公众号 ·
Google DeepMind releases world model Genie 4, supporting real-time interaction and native audio
Google DeepMind released its next-generation general world model Genie 4 on the evening of the 28th. It can generate and modify interactive scenes in real time based on prompts, sustaining a single coherent world for about 2 minutes at roughly 24 frames per second.
HuggingFace Daily Papers ·
RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions
The research team proposes RynnWorld-Latent, a cross-embodiment video world model that uses the 3D-grounded latent actions of RynnLAM as a shared conditioning interface, enabling joint pretraining on human interaction videos, robot demonstrations, and simulation data.
Yaskawa ·
Yaskawa Electric and GAZOO Racing to Bring AI Autonomous Welding Robot Technology to GR KART Manufacturing Site
Yaskawa Electric and Toyota GAZOO Racing have jointly developed AI-driven autonomous robot production technology, with deployment beginning in September 2026 at the Gamagori GR KART workshop. The technology builds on the SFA method (Sequence Freezing Arc Welding) jointly developed by the two parties in 2024, and uses MOTOMAN NEXT robots equipped with GPUs and AI to autonomously recognize the state of pipe frames, complete welding, confirm and correct quality, and analyze appearance images, welding sounds, and various data in an integrated manner.
arXiv cs.RO ·
FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors
The research team proposes FTP-1, a generalist foundation tactile policy pretrained across multiple tactile sensors and embodiments. It uses heterogeneous encoders to map image-, array-, and state-based tactile signals into unified morphology-aware latent tokens, which are jointly modeled by a shared tactile Transformer expert.
arXiv cs.RO ·
Rendering-Free Event Frame Simulation Accelerates Reinforcement Learning for Autonomous Robot Navigation
The authors propose an analytic event simulator that synthesizes event streams directly from scene geometry and ego-motion without image rendering, generating 64x64 event observations in just 17 microseconds on a single GPU, over 400 times faster than state-of-the-art rendering pipelines. Reinforcement learning training for an event-camera obstacle-avoidance policy based on this simulator converges in under 30 minutes, three orders of magnitude faster than training on rendered events, and transfers zero-shot to ray-traced event simulation in Isaac Sim.