VERSION 3

Autodiscovery HEAD360

360-Degree Situational Awareness & Autonomous Navigation Payload

The HEAD360 (Holistic Equipment for Autonomous Driving) Version 3 is a state-of-the-art, fully integrated situational awareness and autonomous navigation payload designed for advanced mobile robots and humanoids. Offering 360-degree high-density point clouds and multi-camera edge computing, Version 3 brings significant upgrades in processing power, communication bandwidth, and detection accuracy. It combines multiple high-performance modules into a single plug-and-play IP65 ruggedized enclosure.

THE NAVIGATION CHALLENGES

LiDAR and Camera Blind Spots: Single-sided mapping sensors leave significant areas of the environment unmonitored, leading to collision risks during reverse or lateral movements.

Degraded/Zero-Lux Operation: Standard optical cameras fail under zero-lux night conditions or high glare, rendering visual mapping and localization unreliable.

Onboard Processing Bottlenecks: Fusing high-density point clouds and running multi-camera AI object detection strains standard robot CPUs, leading to latency.

Wireless Telemetry Drops: Transmitting heavy point clouds and raw video streams over long-range networks causes dropouts and latency in telemetry.

THE HEAD360 INTEGRATED SOLUTION

360-Degree Point Clouds: Integrates a high-density omnidirectional 3D LiDAR with three wide-FOV 4D depth cameras for complete spherical situational awareness.

Integrated Night Illumination: High-power LED flood lights automatically illuminate zero-lux environments, enabling continuous all-weather mapping and surveillance.

Distributed AI Processing: Features dedicated Neural Processing Units (NPUs) built into each camera for edge execution, preserving the central core compute tier.

Zenoh DDS and Wi-Fi 7: Built-in Wi-Fi 7 routing combined with Zenoh DDS middleware minimizes network overhead, keeping control loops stable over unstable networks.

EVALUATION READY & PLUG-AND-PLAY The HEAD360 is built entirely on the ROS 2 Jazzy ecosystem and preconfigured with Nav2. It features direct electrical and mechanical compatibility with various mobile robot bases (wheeled, tracked, and legged) for fast evaluation and deployment.

Primary 3D Sensor	High-density omnidirectional 3D LiDAR with 360 degree horizontal x 59 degree vertical field of view
Vision and Depth	Three (3) wide-FOV 4D depth cameras for panoramic spatial sensing and stereo depth
Night Operation	Built-in high-power LED flood lights for zero-lux illumination and continuous nighttime mapping
LiDAR Range	Up to 40 meters (highly resilient to sunlight interference)

Edge AI Processor	Three (3) dedicated on-board Neural Processing Units (NPUs) integrated in cameras for edge AI inference
Main Compute (Performance)	Advanced AI compute tier with 128GB system memory for heavy neural networks and SLAM
Main Compute (Efficient)	Energy-efficient x86 compute node with 32GB RAM for low-power battery-sensitive operations
Data Storage	Integrated solid-state logging drive for high-bandwidth point cloud and video capture

Network Router	Built-in advanced multi-gigabit Wi-Fi 7 network routing device
Cellular Support	5G communication support via optional integrated USB expansion stick
Audio Subsystem	Integrated multi-microphone array and speakers for voice interface and NLP
Middleware	Zenoh DDS for ultra-low latency, low-overhead communication over unstable networks

Supply Voltage Range	Built-in power regulation supporting 24V - 90V DC wide input range
Power Consumption	Typical: 35 W \| Peak: 200 W under full CPU/GPU load
Dimensions (L x W x H)	165 x 165 x 180 mm
Weight	1.8 kg
Operating Temperature	-20 degree C to +65 degree C
Environmental Rating	IP65 rated from above (fully IP65 when correctly integrated on the host robot)

Software Environment	Custom open-source stack built on ROS 2 Jazzy and Navigation 2 (Nav2)
Platform Compatibility	Out-of-the-box compatibility with Unitree (A2, A2-W, B2) and AgileX (Scout Mini, Bunker Mini, Ranger, Bunker Pro)