Cogalloy T1 Advanced ROS 2 Tracked Robot — Raspberry Pi 5 8 GB

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AdvancedSKU: COG-T1-ADV-8G

Cogalloy T1 Advanced ROS 2 Tracked Robot — Raspberry Pi 5 8 GB

Cogalloy's advanced ROS 2 tracked robot: Raspberry Pi 5 8 GB, dedicated motion control, RGB-D depth vision, 2D TOF LiDAR and AI voice interaction for mapping, navigation, computer vision and embodied-AI development.

Cogalloy T1 Advanced architecture: Pair an 8 GB Raspberry Pi 5 compute host with dedicated real-time motion and peripheral control.
Depth vision + planar ranging: Combine RGB-D perception and 2D TOF LiDAR for mapping, localization and navigation practice.
AI voice interaction module: Build voice-driven workflows when the required network, account and software services are configured.
Tracked, encoder-equipped mobile base: Validate controlled motion and sensor data before progressing to autonomous behavior.

Price

US$799.00

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COGALLOY SYSTEM ARCHITECTURE

Follow every command from ROS 2 to the track.

T1 Advanced separates high-level compute from real-time motion and I/O control. That makes the system easier to inspect, tune and teach: commands, feedback and physical motion are visible parts of one robotics stack.

Raspberry Pi 5 with 8 GB RAM for this configuration
Raspberry Pi OS, Ubuntu 22.04 LTS and ROS 2 Humble Docker reference stack
Record delivered wiring and firmware before changing motor or controller settings

MULTI-SENSOR PERCEPTION

Verify sensor data before asking the robot to navigate.

Depth vision and planar laser ranging serve different jobs. Validate streams, transforms, mounting and time behavior before mapping a room, localizing in it or commanding a route through it.

RGB-D depth camera for 3D perception exercises
2D TOF LiDAR for planar scan, mapping and navigation workflows
Approved sensor revisions follow the final order confirmation

Verify sensor data before asking the robot to navigate.

LEARNING PROGRESSION

Move from manual control to validated autonomy.

Use a staged workflow: controlled driving, encoder and sensor acceptance, mapping, localization, path planning, then vision and voice applications. The order reduces debugging ambiguity and builds reusable robotics engineering habits.

Start with manual control and observable sensor topics
Inspect map quality before localization and route planning
Test voice and vision behavior in a controlled environment

SAFE COMMISSIONING

Prove power and motion at low risk.

Verify charging, polarity, controller communication, encoder direction and track motion at low speed before running autonomous code. Keep the robot on a level, clear floor and away from drops, people and loose cables.

Check controller/encoder communication and track direction
Confirm depth-camera and LiDAR data before mapping or navigation
Use the final packing list for delivered accessories and regional power details

Product details

Everything you need to evaluate the fit.

Clear product information, technical specifications and compatibility details—kept separate from the purchase decision.

Overview

Cogalloy T1 Advanced is a complete tracked development robot configured with a Raspberry Pi 5 8 GB compute host, a dedicated real-time motion controller, Hall-encoder geared motors, an RGB-D depth camera, 2D TOF LiDAR and an AI voice interaction module. It is designed as a coherent learning and prototyping platform rather than a collection of disconnected parts.

One system from ROS command to track motion

The Raspberry Pi 5 runs the operating-system, ROS 2 and application layer. A dedicated controller manages time-sensitive motor, encoder and peripheral work. This split makes it easier to inspect the full command path: ROS topic, control command, encoder feedback and tracked motion. Record the delivered wiring map and firmware versions before changing hardware or motion settings.

Build a trustworthy perception baseline first

The RGB-D camera provides depth data for 3D perception and visual mapping exercises, while the 2D TOF LiDAR provides the planar scan path used in mapping and navigation workflows. Before relying on navigation behavior, verify sensor topics, coordinate frames, time synchronization and mechanical mounting. The final order confirmation is the source of truth for an approved sensor or accessory revision.

Progress from controlled motion to autonomous behavior

Use the platform in a deliberate order: power and manual control first; motor/encoder and sensor streams next; then mapping and localization; finally path planning, computer vision and voice-driven applications. This sequence keeps advanced lessons grounded in a working electrical, mechanical and sensing baseline.

AI voice interaction with clear deployment boundaries

The Advanced configuration includes an AI voice interaction module. Voice and large-model demonstrations can require network access, a compatible account or service and the matched software image. Hardware inclusion is not a promise that every cloud feature is available in every region or offline.

Commission safely before autonomous motion

Charge with the matched charger before first use. Check battery polarity, controller/encoder communication, track direction, camera and LiDAR streams, and manual-stop behavior with the tracks safely unloaded or in a clear, level test area. Do not run mapping or navigation close to drops, stairs, people or loose cables. Use the final packing list for delivery-specific accessories and power details.

Technical specifications

Motors

Hall-encoder DC geared motors

Weight

Approx. 1.88 kg for the configured robot

Battery

7.4 V 2200 mAh 10C protected battery configuration; runtime varies with workload, terrain and network use

Charger

Matched 8.4 V / 2 A charging set; plug and regional supply follow the final order

Chassis

Tracked / tank-style mobile base; metal structural frame

Cooling

Active cooling fan

Encoder

AB-phase incremental Hall encoder

Storage

64 GB TF card configuration

Dimensions

278 × 195 × 182 mm

Public SKU

COG-T1-ADV-8G

Compute host

Raspberry Pi 5, 8 GB RAM

Connectivity

Wi-Fi and Ethernet

2D perception

TOF LiDAR

3D perception

RGB-D depth camera

Configuration

Advanced ROS 2 tracked robot with Raspberry Pi 5 8 GB

Product model

Cogalloy T1 Advanced

Mobile control

iOS / Android companion app

Software stack

Raspberry Pi OS + Ubuntu 22.04 LTS + ROS 2 Humble (Docker)

AI voice interaction

Voice interaction module with matched USB/Type-C data path

Programming languages

Python, C, C++ and JavaScript

Motion and I/O control

Dedicated real-time robot controller

Included learning materials

Development tutorials, video lessons, ROS source code, system image and software materials for the delivered configuration

Shipping & support

Choose your destination at checkout to see the available shipping methods. Need integration advice before ordering? Our support team can help you choose compatible components.

In the box

Package contents

Cogalloy T1 Advanced tracked robot assembly

Metal tracked platform with Hall-encoder geared motors and protected 7.4 V battery configuration.

×1

Raspberry Pi 5 8 GB compute set

This COG-T1-ADV-8G configuration includes the 8 GB compute host, 64 GB TF card, active cooling and matching host-power hardware.

×1 set

Motion-control and power set

Dedicated real-time controller, controller data cable, battery cable and matched charging set for the delivered configuration.

×1 set

Depth and LiDAR perception set

RGB-D depth camera with data cable, plus 2D TOF LiDAR and its matched signal/power cabling.

×1 set

AI voice interaction set

Voice interaction module and matched Type-C/USB connection path. Network and service requirements apply to cloud-enabled demonstrations.

×1 set

Operator and setup accessories

Wireless controller and receiver, mounting parts, card reader, accessory bag and user documentation for the delivered configuration.

×1 set

Final packing confirmation

Approved sensor revision, regional plug, charger, battery transport treatment and included accessories are confirmed on the final order and packing list.

Required check

Expert support

Frequently asked questions

What is COG-T1-ADV-8G?

It is the public Cogalloy SKU for T1 Advanced with Raspberry Pi 5 8 GB. It identifies the advanced tracked, depth-perception and AI-voice configuration in the Cogalloy catalog.

Does the listed configuration include the Raspberry Pi 5?

Yes. COG-T1-ADV-8G is sold as the Raspberry Pi 5 8 GB configuration. Use the final order confirmation as the fulfillment record for each shipped item.

Which sensors are included?

The approved configuration includes an RGB-D depth camera, 2D TOF LiDAR and AI voice interaction hardware. Confirm the final sensor and accessory revision on the order confirmation before beginning an integration project.

What can I build and learn with it?

Use it for ROS 2 motion control, encoder feedback, depth perception, 2D mapping, localization, path planning, computer vision, voice interaction and controlled autonomy workflows. Start with a small, observable task and validate each hardware/data path before moving to the next layer.

Can I start SLAM or navigation immediately?

Only after safe acceptance. First validate charging, battery polarity, controller and encoder communication, track direction, camera and LiDAR topics, transforms and manual control. Then make and inspect a map in a clear, level area before localization or route planning.

What does the AI voice feature require?

The Advanced configuration includes the required voice hardware. A demonstration may also need a network connection, compatible account or cloud service and a matched system image. Availability can vary by region and service, and should not be assumed to be offline by default.

How should I handle the battery on first use?

Charge with the matched charger before first use, connect only after the hardware is installed correctly and confirm polarity before switching on. Follow the supplied battery guidance for charging and storage, and never operate near an edge, stairs or another fall hazard.

included