General Intelligent Chassis
The general-purpose robot base chassis is the core carrier for robots to achieve autonomous mobility. With core features of high openness, strong adaptability, and full-scenario operational capability, it serves as a universal foundational platform for enterprises to build various customized robots, efficiently supporting autonomous mobility needs across industrial delivery, service scenarios, and other fields.
Key feature
SLAM Large-Scale Mapping
- Supports seamless mapping for 300,000 ㎡ ultra-large scenes, enabling unlimited area expansion.
- Provides incremental mapping and efficient loop closure algorithms based on a standard chassis.
- Equipped with a cross-platform remote H5 tool, accessible via mobile phones, PADs, and PCs.
Multi-Sensor Fusion
- Adopt multi-sensor fusion technology, integrating a 360° LiDAR, an AI camera, and an optional depth camera.
- Achieve 360° omnidirectional navigation and obstacle avoidance with zero blind spots.
- Built on a universal standard chassis platform, it ensures stable and reliable positioning and navigation for complex industrial scenarios.
Secondary Development Capabilities
- Supports multiple connection methods (Ethernet, serial port, USB, HTTP, WiFi, Bluetooth) and is compatible with Windows/Linux/Android/iOS development platforms.
- Features a simple API with comprehensive documentation, enabling easy integration and quick development.
- Operates without network restrictions, and the universal standard chassis supports cloud-based remote debugging and management.
Intelligent IoT Access
- The universal standard chassis natively supports IoT connectivity with elevators, turnstiles, and automatic doors, enabling cross-scenario passage without extra development.
- It supports intelligent cloud-based multi-elevator scheduling, automatically selecting the nearest elevator to improve cross-floor operational efficiency.
- With V2X perception technology, it enables efficient multi-robot collaboration and supports complex scenarios like multi-point delivery.
Application Cases
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