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BUNKER
AgileX Robotics
Not yet assessed
- Height
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- Payload
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- Verified autonomy
- not assessed
- Real deployment
- not assessed
- Status
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- Price
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BUNKER
AgileX RoboticsThe system labeled 'BUNKER' in these facts is the AgileX Robotics BUNKER PRO (and its 2.0 variant) — a reinforced, tracked mobile robot chassis designed for extreme terrain, manufactured by AgileX Robotics (founded 2016, China). It is a developer/research platform, not an autonomous system in its own right: it provides a rugged tracked base with open-source SDK, ROS/ROS2 support, CAN bus, and high payload capacity (120 kg), intended for integrators to build autonomous or teleoperated applications on top of. Several extracted facts are clearly about unrelated systems (BUNKER INDUST traction boards, BunkerWeb software, a Notion MCP project, a Yellowstone deepfake story, and academic papers on OmniPlanner/VNMs/underground drilling robots) and do not describe the AgileX BUNKER platform. The BUNKER PRO chassis itself performs no autonomous task independently — it is a mobility platform requiring human or software-layer control for any task execution.
Availability
Specification
- payload_capacity
- 120 kg
- max_speed
- 1.5 m/s (at full load)
- operating_range
- 20 km unloaded, 15 km loaded (vendor claim)
- battery
- 48V / 60Ah LiFePO₄; 2x 1500W motors (48V DC servo)
- dimensions
- 785 x 1080 x 470 mm
Price
No public price — contact the supplier for a quote.
Good · Bad · Ugly
Evidence-graded claims from the AgileX Robotics deep report
AgileX completed a Series A funding round of ~100 million RMB (~US$15.5M) in July 2021, backed by Sequoia Capital China, 5Y Capital, Vertex Ventures China, and Hong Kong X Technology Fund
The funding round is corroborated by both AgileX's official blog and an independent third-party news source (5Y Capital news), naming the same investors and amount — though the long-term deployment impact of this capital remains unverified [10][14].
from AgileX Robotics deep report →The PiPER arm is being used by developers to build real-world physical AI applications combining LLMs, computer vision, and robot control
An independent Reddit community post documents a developer building a functional physical AI chess agent using the PiPER arm with YOLO vision and LLM integration — confirming real developer adoption, though this represents a single hobbyist project rather than scaled deployment [16].
from AgileX Robotics deep report →
The PiPER robotic arm achieves 0.1 mm repeatability with a 1.5 kg payload at a reach of 626 mm
Specs are consistent between the official product page and an independent tech blog (TechEBlog), but no third-party laboratory test or customer validation of the 0.1 mm repeatability figure under real operating conditions has been identified [2][7].
from AgileX Robotics deep report →AgileX has partnerships with Alibaba, Huawei, Honda, and 50+ global top universities
These partnership claims appear solely on AgileX's LinkedIn company profile; no independent press releases, joint publications, or third-party confirmations from any of the named partners have been identified in the dossier [12].
from AgileX Robotics deep report →The Ranger Mini 3 supports a 100 kg payload, 2.0 m/s speed, 8-hour runtime, and operates in -20°C to 50°C conditions with hot-swap battery capability
All Ranger Mini 3 specifications originate exclusively from AgileX's official product page with no independent benchmark tests, field validation, or third-party reviews confirming these performance figures under real operating conditions [3].
from AgileX Robotics deep report →
About the company
Editorial directory of real robot products from leading global manufacturers. Each entry links to the manufacturer's official page.
