Today's Highlights

· Official data: Jan–May above-scale robotics enterprise revenue tops RMB 90 billion; H1 embodied AI financing in China reaches RMB 93.5 billion, up fivefold year-on-year

· Hikvision Robotics' cumulative mobile robot production surpasses 200,000 units, doubling again in two years — global market share No. 1 in 2025

· Jijia Vision (Chinese world-model startup) raises over RMB 3.5 billion across three rounds in 3 months, as the world-model funding race continues

· Nvidia partners with Hugging Face to release GR00T N1.7 and other new models for open-source LeRobot

· AgiBot (Chinese humanoid robotics maker) brings its Yuanzheng A3 to Europe, launching Robotics-as-a-Service (RaaS) in the UK

GigaWorld-1: A roadmap for using world models to "score" robot policiesworld-model

Robot policy evaluation has long been bottlenecked by the need for real-robot rollouts — slow and expensive. This paper systematically studies world models as scalable "policy evaluators": it first clarifies what properties a world model needs to credibly substitute for real-robot rollouts, then builds an evaluation benchmark called WMBench using real teleoperated robot data paired with policy replays, enabling controlled comparisons across model families and action-encoding schemes. It was the day's highest-trending paper (HF 29↑), making the case that "world model as evaluation infrastructure" is a real research direction.

GigaWorld Team et al. · arXiv 2607.02642 source

InternVLA-A1.5: Unifying understanding, latent foresight, and action into a single policyvla

Unified manipulation models want to simultaneously capture the semantic priors of pretrained VLMs and the physical dynamics learned from future prediction. This version merges both with action decoding into a single framework, emphasizing compositional generalization — recombining skills, objects, and scenes seen in training into unseen tasks. Part of the InternVLA series from Shanghai AI Lab, HF 16↑.

Haoxiang Ma et al. (Shanghai AI Lab · InternVLA) · arXiv 2607.04988 source

The first "multiplayer" interactive world model: it can tell who caused whatworld-model

Previous world models treated other agents as part of the environment. This is the first multiplayer world model built for complex physical interactions: conditioned on each player's individual action stream, it learns to attribute scene changes to the correct player — even when everyone accelerates, jumps, and flips simultaneously, the scene doesn't flicker or distort. It corresponds to the previously released MIRA demo (multiplayer, roughly 20 FPS real-time), HF 10↑.

Anthony Hu et al. · arXiv 2607.05352 source · Analysis: Zhineng Zhixin source (WeChat, CN)

Vision pretraining for dense spatial perceptionperception

Modern vision foundation models favor "semantic invariance," often at the cost of spatial detail — but embodied AI needs structured, scale-aware, actionable spatial representations recoverable from pixels. This paper builds a pretraining method specifically for dense spatial perception, addressing a gap in mainstream vision models. Tied for the day's highest community trending score (HF 27↑).

Zelin Fu et al. · arXiv 2607.05247 source

TACO: Using a tactile world model as a VLA's "self-correction" mechanismmanipulation

VLAs often fail unrecoverably on contact-rich tasks due to small contact disturbances invisible to vision. TACO uses a tactile world model to turn real-world failures into "imagined visuo-tactile corrections" for post-training, and uses knowledge-isolated tactile adaptation to avoid corrupting pretrained vision-language priors.

Shengbang Liu et al. · arXiv 2607.02840 source

DREAMSTEER: Steering VLAs at deployment time, with no fine-tuningvla

Pretrained VLAs generalize reasonably well zero-shot, but stumble when distribution shifts at deployment; the standard fix is fine-tuning on target-environment data — which requires having demonstrations in the first place. DREAMSTEER changes zero parameters, instead using a latent world model plus a value model to steer the policy toward more reliable actions in real time at deployment. Includes authors from Meta FAIR.

Hanchen Cui, Sergio Arnaud et al. (incl. Meta FAIR) · arXiv 2607.02865 source

CLEAR: Bringing large-scale closed-loop RL to end-to-end autonomous drivingautonomy

Most VLAs in end-to-end autonomous driving are open-loop imitation, which struggles to self-correct on long-tail scenarios. CLEAR performs large-scale closed-loop reinforcement learning, learning a residual waypoint policy on top of a pretrained VLA's waypoint priors — preserving the knowledge in the large model while letting trajectories be refined by real closed-loop feedback. From Qualcomm AI Research.

Yunxiao Shi et al. (Qualcomm AI Research) · arXiv 2607.02841 source

iFLYTEK-Embodied-Omni: iFLYTEK's unified embodied foundation modelvla

Aimed at general-purpose embodied agents, this jointly models vision, language, and action within a single Omni framework, emphasizing "brain–cerebellum" coordination: understanding multimodal instructions and anticipating environmental changes, while producing precise control over long horizons. A technical report from iFLYTEK, and another unified-foundation-model attempt from a major lab that day.

Yuan Zhang et al. (iFLYTEK) · arXiv 2607.02542 source

ADP: Adding "adversarial dynamics priors" for disturbance-resistant humanoid locomotionlocomotion

Existing motion-prior methods only imitate kinematic style, without directly constraining dynamic quantities like center-of-mass motion, momentum, and contact forces. ADP uses an adversarial dynamics prior to directly regularize these quantities, yielding humanoid locomotion control with stronger disturbance resistance.

Seokju Lee et al. · arXiv 2607.03454 source

Jijia Vision | Pre-B/B1/B2 | Over RMB 3.5 billion combinedworld-model

Three rounds in three months, bringing together state-backed and auto-supply-chain capital including Sino-CEE Fund, CCB Investment, Wanxiang Qianchao, and Fosun RZ Capital. Beyond its own hardware, the company is investing heavily in data-collection hardware and its world-model platform, pursuing the "simulate physics from video/data" generative approach. Following Shengshu and Kuawei, the world-model funding race keeps heating up — in the same period, Qianxun Intelligent raised over RMB 4.5 billion across 3 months, and Xingyuan Zhi (incubated by BAAI) has raised a cumulative RMB 1 billion.Source: Qingcheng Finance source (WeChat, CN)

LinkerBot | Planned Hong Kong IPO | Market-estimated valuation over RMB 100 billionhardware ⚠️ Planned, unconfirmed

Focused on high-DOF dexterous hands for humanoid robots (Linker Hand series, 6–42 degrees of freedom); if it proceeds, this would be another dexterous-hand player sprinting toward public markets. The valuation is a market estimate, not yet finalized.Source: Yijian Finance source (WeChat, CN)

Tesollo (South Korea) | Launches IPO process after Series Bhardware

A South Korean dexterous-hand developer has begun preparing for an IPO after completing its Series B, focused on humanoid robot end-effectors. Alongside LinkerBot's IPO move, dexterous hands — the "highest-value component" in humanoids — are collectively heading toward public capital markets.Source: The Robot Report source

Kraken Robotics | Acquires Covelya Group | USD 615 millionautonomy

Marine robotics maker Kraken is acquiring Covelya for USD 615 million, the largest deal of the day, as consolidation in underwater autonomy accelerates.Source: The Robot Report source

Shihang Intelligent (Kunshan) | New funding round | Claims "largest-ever financing in the global marine robotics sector"embodied ⚠️ Company's own claim

Nurtured from its angel round by the Kunshan Industrial Technology Research Institute, this round is open only to a small group of industry-resource investors and existing shareholders, with indicated subscription interest several times the target raise. "Largest globally" is the company's own characterization; the specific amount has not been clearly disclosed.Source: Suzhou Daily source (WeChat, CN)

Quick roundup: Small seed rounds in industrial/factory physical AIindustrial

Mowito (India) raised a USD 3 million pre-seed (led by Version One, All In Capital), teaching factory robots "by demonstration rather than programming" source; HIVE raised USD 15 million to build physical AI for industrial manufacturing source; Daxiao Robotics (part of SenseTime's "1+X" ecosystem) raised a cumulative several hundred million USD across two rounds in 4 months, and its Kaiwu world model Kairos claims to top 4 embodied benchmarks (⚠️ company's own claim) source (WeChat, CN).

Hikvision Robotics rolls off its 200,000th mobile robotindustrial

Cumulative production across all mobile robot categories has surpassed 200,000 units — the second 100,000 took just two years, since hitting the 100,000th unit in May 2024. According to the Mobile Robot Industry Alliance, Hikvision Robotics held the No. 1 global market share in 2025. This is one of the day's few genuine mass-production milestones — compared to vendor demos and letters of intent, "units shipped" is a hard scale metric.Source: Eastmoney/Southern Finance source

Zerith Robotics lands its first overseas full-robot order, in Malaysiahumanoid

On July 5, three wheeled humanoid robots — the ZERITH-H1, made in Hefei — performed teleoperated grasping demonstrations at a lab in Malaysia, marking the company's first overseas order for complete units. The order is small and still early-stage deployment, but it extends Chinese humanoid delivery from domestic use to overseas settings.Source: Hefei Development and Reform Commission source (WeChat, CN)

Pony.ai's Singapore robotaxi service integrates with the Zig ride-hailing appautonomy

Pony.ai's robotaxi service in Singapore is now bookable through the Zig app, connecting its fleet to a mature local ride-hailing entry point and moving toward regular, on-demand availability. Following WeRide's partnership with Grab last week, Singapore has become another hotspot for Chinese robotaxi players' overseas deployments.Source: TechRepublic source

Ambi Robotics integrates with Pickle Robot to automate warehouse inbound logisticsindustrial

The two companies have connected their respective AI robots to automate warehouse inbound logistics (unloading and upstream sorting) — a segment of warehouse automation that has long relied on manual labor and is seen as the next scalable growth area.Source: Robotics & Automation News source

Simplexity Robotics: 11 months old, has delivered 100 robots to production linesembodied ⚠️ Single source

This embodied-AI startup claims to have delivered 100 robots to production lines, touting the "fastest to 100 units" delivered. The actual scale is modest and the claim currently comes from a single media outlet — noted here pending independent confirmation.Source: Pandaily source

Fei-Fei Li publishes a "functional taxonomy of world models," drawing lines around an overused conceptworld-model

Fei-Fei Li writes bluntly that "world model is now one of the most important — and most overused — terms in AI today": computer vision, robotics, reinforcement learning, and generative AI all claim to be building world models, yet mean very different things by it. She divides world models into three categories — rendering, simulation, and planning — which in practice further converge into the "simulate physics from video/data" generative approach (Jijia Vision, Momenta, etc.) and the "verify the world through action" end-to-end interactive approach (Zibianliang, Qianxun, etc.). This definitional debate comes against the backdrop of a "world-model boom" in China that has raised tens of billions of RMB in three months, and it's also why the day saw a cluster of analyses and cost-reduction announcements (Moxin claims a Flash model cutting costs 70% while running at 50 FPS; Amap's general-purpose world model reportedly reaches 16 FPS on 8 RTX 5090 GPUs).Source: Yanzhi Auto source (WeChat, CN)

AgiBot's Yuanzheng A3 lands in Europe; UK launch is first Robotics-as-a-Service (RaaS) offeringhumanoid

AgiBot unveiled its Yuanzheng A3 humanoid robot in Europe and, together with ten local partners, launched a "Robotics-as-a-Service (RaaS)" rental model in the UK — upgrading its overseas push from selling hardware to selling a service. In China, its mass-production line has reportedly shipped its 15,000th unit (previously reported), and it signed a comprehensive strategic partnership with appliance maker ASD (Aishida), locking in actuator/lead-screw supply and application deployment. AgiBot's supply-chain executive said "China's supply-chain manufacturing capability will never become a bottleneck," predicting the embodied-AI inflection point will arrive within 2–3 years.Source: Weilai Keji Shihuangzhe source (WeChat, CN)

Momenta's autonomous driving system surpasses one million vehicles equippedautonomy

Momenta says its ADAS/autonomous driving system has now been factory-installed in over one million vehicles, with partner automakers including Mercedes-Benz, BMW, and Audi. Technically, it bets on the "simulate physics from video" world-model approach rather than pure VLA — its first mass-production vehicle featuring the R7 world model — and founder Cao Xudong says "sensors rank last in importance." The million-unit figure is a genuine factory-installation number, adding another scale data point to the company's Hong Kong IPO narrative.Source: Ifeng Auto source

Ant Group's embodied-AI team releases LingBot spatial perception modelperception ⚠️ Company's own claim

Ant Group's robotics team has released LingBot-Vision / LingBot-Depth 2.0, claiming "12 world firsts" and that its 1.1B-parameter model outperforms the 7B DINOv3, targeting hard-to-perceive objects like transparent glass — reportedly significantly reducing robot collisions with glass. Both the leaderboard rankings and the "world first" claims are self-reported by the company, with no independent benchmark verification observed.Source: Pandaily source

Nvidia unveils full autonomous-driving lineup at GTC 2026, deepens open-source robotics ecosystemautonomy

Nvidia presented a complete autonomous driving solution stack at GTC 2026, and on the same day partnered with Hugging Face to bring GR00T N1.7 and other new models and frameworks to the open-source community LeRobot (see "Open Source" section). The company is advancing on two fronts simultaneously — vehicle-side autonomous driving and an open-source embodied-AI foundation — as part of a dual-pronged platform strategy.Source: Autohome source

Huawei-trained talent spills into embodied AI en masse — 9 "Genius Youth" alumni companies have raised roughly RMB 7.7 billion combinedadjacent

According to a tally as of July 6, at least 15 former Huawei executives have founded or joined embodied-AI companies, including 9 alumni of Huawei's "Genius Youth" program. These companies have publicly disclosed a combined roughly RMB 7.7 billion in funding, producing two RMB-10-billion-plus unicorns — AgiBot and Galbot. Core Huawei teams like Ascend, the Automotive BU, and Noah's Ark Lab are becoming a "West Point" for embodied-AI talent.Source: Zhidongxi source (WeChat, CN)

Policy push intensifies: 6 national AI standards initiated, Guangzhou rolls out new embodied-AI incentivesadjacent

China has initiated 6 national standards covering large models, embodied intelligence, and AI safety, setting rules for a rapidly expanding industry source; Guangzhou has issued 8 measures to promote its embodied-AI robotics industry, with subsidies up to RMB 1 million per application scenario source (WeChat, CN). Together with dedicated real-world training initiatives from the Ministry of Industry and Information Technology and SASAC, an institutional "standards + subsidies" framework is taking shape.