The central nervous system for robots — a complete operating system integrating perception, cognition, decision-making, motion planning, and real-time communication into a unified intelligence core.
qoobrain is the core operating system of the QooBot ecosystem, coordinating all intelligent functions of the robot. It features a modular design supporting multiple perception modalities, real-time decision-making, motion planning, and a unified communication framework.
Integrates vision, audio, tactile, and other sensor data for unified environmental perception and understanding.
Hybrid intelligence combining reinforcement learning and symbolic reasoning for autonomous decision-making in complex scenarios.
Real-time algorithms for bipedal walking, obstacle avoidance, and path planning to ensure stable robot motion.
Provides unified communication protocols for inter-module, inter-robot, and cloud data flow.
Priority-based task scheduling system supporting concurrent task management and resource allocation.
Multi-layer safety protection and fault recovery for stable operation in abnormal conditions.
qoobrain uses a four-layer architecture, from low-level hardware abstraction to high-level application interfaces, with clear API boundaries and extensibility at each layer.
Unified data interfaces and protocol conversion for cameras, LiDAR, IMU, microphones, and other sensors.
Unified control interfaces and kinematic solvers for servo motors, stepper motors, and hydraulic actuators.
Unified management and abstraction of local storage, network communication, and bus protocols.
Core perception functions including object detection, semantic segmentation, speech recognition, and environment modeling.
Cognitive capabilities including knowledge reasoning, intent understanding, scene analysis, and decision-making.
Motion capabilities including path planning, gait generation, obstacle avoidance, and balance control.
Declarative task definitions, priority scheduling, resource management, and execution monitoring for application development.
Modular plugin architecture supporting dynamic loading and integration of third-party algorithms, skills, and services.
Diverse communication interfaces including REST API, gRPC, WebSocket, and message queues.
Millisecond-level response time with hard real-time task scheduling for instant motion control and perception.
Highly pluggable module architecture with on-demand loading to reduce system complexity.
Supports x86, ARM, RISC-V, and other hardware architectures for diverse robot platforms.
Multi-layer security mechanisms including access control, data encryption, fault isolation, and automatic recovery.
Smooth scaling from single machine to multi-robot clusters for various deployment scales.
Built-in interfaces for Gazebo, Isaac Sim, and other mainstream simulators for algorithm validation and testing.
qoobrain is an openly co-built brain operating system welcoming developers, researchers, and robotics enthusiasts to contribute.
Detailed API docs, architecture guides, quick-start tutorials, and best practices.
Complete source code, build scripts, test suites, and development toolchain.
Active Discord community, online technical discussions, and regular developer meetings.
Join Community →qoobrain integrates tightly with other QooBot ecosystem projects to build a complete robotics technology stack.
Chip & acceleration runtime, providing high-performance inference and hardware acceleration for qoobrain.
Learn about qoocore →Hardware reference design, providing unified hardware interfaces and sensor abstraction for qoobrain.
Learn about qoobody →Cloud services, providing remote inference, data synchronization, and cluster management for qoobrain.
Learn about qoocloud →