A Full-Stack Technology Engine
for Smart Shipping

Technology-driven innovation for the future of smart shipping.

BOTIX AI Lab

The BOTIX AI Lab is the company’s core R&D platform, focused on the research, validation, and application of advanced technologies for smart shipping. It brings together expertise in perception, decision-making, control, platform architecture, and other disciplines, advancing critical autonomous navigation technologies from algorithmic innovation to engineering deployment and continuous product evolution.

AI-Driven Innovation
Integration of Advanced Technologies
from China’s Automotive Industry
Engineering-Scale
Technology Deployment
Industry Ecosystem Co-Creation

System Architecture

BOTIX has developed an end-to-end technology stack spanning perception, decision-making, and control. It delivers integrated autonomous navigation capabilities, from environmental situational awareness and intelligent navigation decisions to high-precision drive-by-wire actuation.

System Architecture

Perception

Hardware Systems: Multi-sensor redundancy provides accurate 360° perception with no blind spots and all-weather adaptability, creating a highly reliable and evolvable hardware foundation for higher levels of maritime autonomy.

Perception Algorithms: A multimodal sensor fusion model combines heterogeneous data from camera imagery, LiDAR point clouds, thermal imagery, and millimeter-wave radar point clouds. Feature-level fusion in bird’s-eye-view (BEV) space leverages the complementary strengths of each sensor to enhance overall perception performance.

Localization Algorithms: A multi-source positioning solution combining RTK, SLAM, IMU, and other technologies provides stable, high-precision positioning over extended operations. It also enables efficient, cost-effective construction and updating of large-scale waterway maps.
Decision-Making

A comprehensive fault-diagnosis system covers hardware, software, algorithms, and vessel systems, monitoring more than 200 fault conditions in real time. When a fault is detected, the autonomous navigation controller applies graded response strategies ranging from Level 1 to Level 5.

High Reliability: The system retains safe-response capability even if one or two control units fail.

Graded Response: Severity-based responses balance navigational safety with mission continuity.

High Integration: Comprehensive fault diagnostics enable unified monitoring and management of vessel-wide safety status.
Control

Control Algorithms: Intelligent decision-making and multi-objective path-planning algorithms are designed for complex operating environments. Supported by accurate perception, they enable autonomous navigation in challenging channels and waterways, including collision avoidance, evasive maneuvers, rerouting, and precise control during approach, berthing, and unberthing operations.

Redundant Drive-by-Wire Control: The Vessel Drive-by-Wire Control System addresses interface adaptation across different vessel types. Its ring-network architecture provides redundancy from dual controllers through distributed I/O, improving system fault tolerance.
In-the-Loop Simulation

In-the-Loop Simulation: A closed-loop data framework provides comprehensive coverage of functional, performance, and integration testing, supporting rapid iteration of autonomous navigation algorithms while strengthening system safety and reliability.

Certification and Collaboration

We work closely with classification societies, research institutions, and industry organizations
to advance compliance validation and the development of standards for core technologies.