AI Technology — RoboNexus

Core Capabilities

Six AI Pillars That Power Motion

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Computer Vision

Custom-trained vision models recognise objects, defects, and spatial environments at 120fps with sub-pixel accuracy. Works in low light, occlusion, and high-speed scenarios.

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SLAM Navigation

Simultaneous Localisation and Mapping lets robots build and update a world model in real time — navigating dynamic environments without pre-mapped layouts.

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Reinforcement Learning

Robots learn manipulation tasks through millions of simulated trials before deployment. Transfer learning adapts pre-trained skills to new tasks in hours, not months.

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Fleet Intelligence

Federated learning across the entire deployed fleet. Every robot's experience improves all others — continuously, without centralising sensitive operational data.

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Edge AI Inference

Custom NexusChip ASIC delivers 45 TOPS at 8W per robot — enabling full neural network inference onboard with 5ms end-to-end latency, no cloud dependency required.

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Safety AI

Multi-model redundant safety architecture monitors for human proximity, unexpected objects, and robot state anomalies — triggering safe stops in under 50ms.

System Architecture

NexusAI Stack Overview

Cloud Layer

Fleet Management

OTA Updates

Analytics Dashboard

Federated Learning Server

Digital Twin

Edge Layer

NexusChip ASIC

NexusBridge Middleware

Vision Models

Motion Planner

Safety Monitor

Sensor Layer

LiDAR

RGB-D Cameras

IMU

Force/Torque

Tactile Skin

Thermal

Actuator Layer

Servo Controllers

Motor Drivers

Hydraulic Control

End Effectors

RoboSim Cloud

Train in Simulation, Deploy with Confidence

RoboSim is our physics-accurate cloud simulation environment where robots learn tasks through billions of virtual trials before touching real hardware. Domain randomisation teaches robots to handle real-world variation and unpredictability.

APIs allow integration with popular ML frameworks including NexusLearn, FluxML, and OpenDrive3. Simulation results transfer to physical robots with over 90% skill retention — no fine-tuning required.

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Physics-Accurate Engine
Rigid body, soft body, and fluid dynamics at 10,000x real-time speed
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Domain Randomisation
Automatically vary lighting, textures, mass, and friction during training
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Sim-to-Real Transfer
90%+ skill retention from simulation to physical deployment

The Brain Behind Every Robot