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绝影X30
Deep Robotics
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绝影X30
Deep RoboticsThe Jueying X30 is a new-generation industrial quadruped robot designed for power stations, factories, pipeline tunnels, emergency rescue, fire reconnaissance, and scientific research. It features IP67 protection, operates from -20°C to 55°C, climbs 45° stairs, and has fusion perception for autonomous navigation in extreme lighting. Battery runtime is 2.5-4 hours with quick-swap support. Two variants: X30 and X30 Pro.
Availability
Specification
- External interfaces
- Ethernet, 72V BAT (X30); USB2.0, USB3.0, Ethernet, WiFi, 5V/12V/24V (X30 Pro)
- IP67 industrial protection, operates from -20°C to 55°C
- Climbs 45° stairs, including open industrial stairs
- Fusion perception for autonomous navigation in dark, bright, flickering, or no light
- Battery runtime 2.5-4 hours, range ≥10 km
- Quick-swappable battery for emergency operations
- Load runtime improved by 25%
Price
No public price — contact the supplier for a quote.
Good · Bad · Ugly
Evidence-graded claims from the Deep Robotics deep report
Deep Robotics' industrial robots (X20, X30, Lynx M20/M20S/S10) operate fully autonomously — navigating routes, collecting sensor data, uploading it in real time, and returning to auto-charging stations without human involvement in the inspection task itself.
Vendor press releases and official videos assert full autonomous closed-loop inspection [1][3][30], and a research paper validates autonomous navigation over ~2.8 km outdoor routes on a comparable legged platform [21], but no independent third-party field audit confirms sustained real-world autonomous performance at the claimed accuracy levels; the European logistics deployment figures are explicitly flagged as unverified [14].
from Deep Robotics deep report →Deep Robotics has achieved real-world international deployments, including a Singapore power grid tunnel inspection robot delivery.
The Singapore power grid deployment is cited in an official Deep Robotics announcement [9][19], and Hannover Messe 2026 attendance with EU-compliant units is reported by trade press [14], but no independent customer statement, operational report, or third-party journalist has verified the Singapore deployment's scope or ongoing performance.
from Deep Robotics deep report →The Lynx M20S wheeled-legged robot achieves a top speed of 9 m/s and operates in temperatures as low as -30°C with IP67 protection.
These specs are reported by robotics trade press (Robotics & Automation News) covering the product launch [13][16], which constitutes secondary reporting of vendor-supplied data rather than independent testing — no teardown, benchmark test, or field trial by a neutral party has verified these figures.
from Deep Robotics deep report →Deep Robotics grew unit sales from 529 units (2023) to 3,936 units (2025), with 2025 revenue of CNY 337M (~$49.6M) and its first profitable year (net income CNY 28.68M).
These figures are drawn from Deep Robotics' own IPO prospectus as reported by multiple news outlets [10][11][29], which gives them higher credibility than a press release alone, but they remain unaudited by an independent public accountant in the sources provided and are subject to regulatory review as part of the STAR Market IPO process.
from Deep Robotics deep report →Deep Robotics' DeepVLA 1.0 end-to-end embodied AI platform represents a transition from classical MPC+WBC control to a foundation-model-based approach for its robots.
DeepVLA 1.0 is mentioned only in a video source reporting on the company's technology roadmap [29] with confidence rated 0.78 in the dossier; no research paper, independent benchmark, or third-party evaluation of DeepVLA 1.0's real-world performance has been identified.
from Deep Robotics deep report →
The X30 quadruped has a maximum speed of ≥4 m/s.
The vendor's official spec page claims ≥4 m/s [1][2], but an independent third-party buyer guide reports a maximum speed of only 1.5 m/s for the X30, with a walking speed of 1.2 m/s [8] — a large, unresolved discrepancy that no independent test has confirmed in favour of the vendor figure.
from Deep Robotics deep report →Deep Robotics achieved 96.5% recognition accuracy in real-world wind farm inspection deployments in Ningxia.
This figure appears exclusively on Deep Robotics' own official website [1][3] with no independent customer report, regulator audit, or third-party test confirming it; the dossier explicitly flags it as an unverified vendor claim.
from Deep Robotics deep report →
