Background
At the 2026 World Robot Conference (WRC, August 19-23), Galaxea (星海图) occupied the largest 500 sqm booth and shifted focus from showcase demos to real industrial deployment. The core message: embodied intelligence graduates from "can perform" to "can deploy."
Nexo: 30-DoF Wheeled-Arm Humanoid
- 30 degrees of freedom across dual arms, shoulder-neck, waist, and chassis with force-position coordinated control
- 20 kg dual-arm / 10 kg single-arm peak payload
- 8-hour battery life with fast charging, battery swap, and autonomous return-to-charge (three modes)
- Targets e-commerce retail, industrial manufacturing, express logistics, and commercial service
- Positioned as a general productivity platform rather than a single-purpose device, differentiating from Unitree, WALL-B, Agibot A2, and UBTECH Walker
- Ten-thousand-level SKU generalization without per-item programming
- Multi-task scheduling with autonomous error recovery from interruptions and environmental changes
- Flexible-object manipulation — breakthrough on deformable plastic bags
- Vision-based screw localization and alignment into narrow holes
- Tool switching, attitude control, and stable force-controlled fastening
- 30%+ speed improvement over traditional manual teaching
- Validates long-horizon, high-stability fine manipulation for production
- 1 (Core): "Whole machine + Intelligence" dual drive
- Galaxea Dynamics — hardware (body, modules, motion control, system engineering)
- Galaxea Model — algorithms (embodied foundation model, task intelligence)
- 3 (Product Matrix):
- Kengo — bipedal humanoid for unstructured complex scenarios
- Nexo — wheeled-arm robot for structured scenarios
- Lemo — dual-arm desktop platform for developer ecosystem
- N (Industry Landing Program): Xingtu Plan and Partner Programs; partnerships with 32 industry-leading enterprises
- Built-in "native action chain-of-thought" unifying perception, language, reasoning, and action in autoregressive data flow
- Surpasses SOTA across 8 benchmarks including LIBERO and RoboTwin 2.0
- G0.5 MAX upcoming; full reproduction plan with open weights, inference APIs, benchmarks, and fine-tuning tools
- Skips future-frame generation
- Single-step inference latency: 800 ms → 190 ms (4x speedup)
- Pretrained large model based on this architecture launching soon
- Cluster-level policy distribution, parallel real-robot rollout, real-scene data return, human intervention, distributed RL training, automatic evaluation, and versioning
- Closes the loop: deployment → interaction → data filtering → training → new release
- 1,000+ real productivity units already delivered
- 10,000+ target for next year
- At an auto-parts manufacturer pilot: +40% line efficiency, -65% labor cost
- Pre-2026: hardware sales dominant
- 2026 H2 – 2028: solution subscription model — customers pay for industry-specific productivity solutions; robots become physical carriers of services
- Robots are transitioning from product to service
World's First Online-Ordering Robot Micro-Fulfillment Center
Galaxea built a 1:1 commercial micro-fulfillment center live on-site. Users place orders via mini-program; robots autonomously identify SKUs, plan paths, pick items, and bag packages.
Key capabilities:
Deployment data: tested at multiple leading-enterprise micro-fulfillment sites, 2,000+ items processed per day.
World's First Robot-Assembling-Robot Cell
The exhibit demonstrated centimeter-precision screw insertion and auto-driver fastening:
"1+3+N" Next-Generation Productivity Strategy
Founder/CEO Gao Jiyang (高继扬) announced:
Three Core Technologies
G0.5 Foundation Model
Fast-WAM World Model
G-Fleet Distributed RL System
Deployment Metrics
Business Model Evolution
COO Li Tianwei (李天威) outlined a three-phase path:
Takeaway
"Being able to perform" is the starting line. The second half of embodied intelligence will be judged on reliable work, not showmanship — and on how gracefully a robot handles the unexpected.
References: China News Service (Aug 23), Xiaoxiong Finance (Aug 22), IPO Zaozhidao on-site interview with Stone Jin, Galaxea "From Model to Productivity" tech forum, Gao Jiyang keynote at Tech Beat, public benchmarks LIBERO and RoboTwin 2.0.