Platform

Vehicle and chassis


Vehicle
Class 1:10-scale autonomous racing vehicle, RoboRacer / F1TENTH specification
Chassis Traxxas Slash VXL 4x4 — four-wheel drive, independent suspension, oil-filled shocks
Drive system Traxxas Velineon brushless motor, driven under field-oriented control by the VESC
Steering Ackermann steering through the chassis servo, commanded over the VESC servo output
Equipment deck Laser-cut MDF base plate carrying compute, LiDAR and power hardware
Traction battery 3S lithium-polymer pack, 11.1 V nominal, supplied with a balance charger
On exact variants. Component families are fixed by the platform specification, but specific model and revision numbers depend on what is current and available when your order is placed. The exact build is confirmed on your quotation — ask the Ambimat Electronics team if a particular sensor or compute variant is a requirement for your work.

Onboard computer

Compute — NVIDIA Jetson Orin Nano Super


All perception, localisation, planning and control run on the vehicle. Nothing depends on a link back to a base station once the stack is started.

Compute module
Module NVIDIA Jetson Orin Nano Super
GPU NVIDIA Ampere architecture, 1024 CUDA cores and 32 third-generation tensor cores
CPU 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3
Memory 8GB 128-bit LPDDR5
102 GB/s
Storage Supports SD card slot and external NVMe
AI performance Up to 67 sparse INT8 TOPS, accessible through CUDA, cuDNN and TensorRT
Supply 19 V, taken from the AE170 power distribution unit's 19 V rail
Interfaces used Gigabit Ethernet to the LiDAR, USB to the VESC, Wi-Fi for SSH and remote visualisation

Sensing

Perception — Hokuyo 2D LiDAR


Primary sensor
Sensor Hokuyo 2D scanning laser range finder (UST-10LX class)
Field of view 270°, planar, mounted forward on the equipment deck
Scan rate 40 Hz
Interface Ethernet, addressed over the vehicle's onboard network
Supply 12 V from the AE170 power distribution unit
ROS 2 interface Publishes sensor_msgs/LaserScan, consumed directly by SLAM, particle-filter localisation, gap-following and wall-following nodes
Additional sensing Inertial measurement unit integrated into the VESC 6 MkIV; spare 12 V and 5 V rails are available for a depth camera such as an Intel RealSense, or a separate IMU

Motion

Actuation — VESC 6 MkIV


Motor controller
Controller VESC 6 MkIV (Trampa Boards), open-source BLDC controller
Control mode Field-oriented control (FOC), with duty-cycle, current, speed and position modes available
Steering Servo output driven from the controller, so steering and throttle share one command path
Feedback Wheel odometry from motor electrical revolutions, plus the controller's integrated IMU
Interfaces USB to the Jetson; CAN and UART available for expansion
Configuration Motor detection and limits are set during pre-delivery validation; the VESC Tool desktop application can be used to re-tune them
Supply Directly from the 3S traction pack, separate from the regulated electronics rails

Electrical

Power distribution — Ambimat AE170 PDU


Designed by Ambimat Electronics for autonomous racing systems and released as open hardware. Version V02.04 is the revision documented here and shipped with the kit.

Rails and totals
Rail Maximum current Typical load on the kit
19 V DC 3 A NVIDIA Jetson Orin Nano Super
12 V DC 2 A Hokuyo LiDAR, plus spare capacity for added sensors
5 V DC 1 A Low-power accessories, hubs and logic

Connectors

The board takes power on the input side and fans it out across seven regulated outputs. Currents in the table above are the totals across all outputs on a rail taken together, not per connector.

J9
Battery connector / socket — input side.
J10
DC power jack for a wall adapter — input side. J10 also accepts input from a battery connector with no other change to the board.
J1, J2, J5, J6
12 V DC outputs.
J3, J4
5 V DC outputs.
J7
19 V DC output.

Switches

SW1
Source selection — VJACK (wall adapter) or VBAT (battery powered).
SW2
Power on and off. With SW2 off, the position of SW1 is immaterial to the circuit — useful when the vehicle is being worked on with a bench supply connected.
The full switching scenarios, connector pin detail and mechanical outline are in the ROBORACER Power Board User Manual, and the schematic, Gerber, DXF and bill-of-materials files are published as open source on the same page.

Stack

Software and interfaces


Delivered software
Operating system Ubuntu 22.04 LTS with NVIDIA JetPack (Linux for Tegra kernel, CUDA, cuDNN, TensorRT)
Middleware ROS 2 Humble Hawksbill, with DDS transport
Client libraries rclpy (Python) and rclcpp (C++)
Build and tooling colcon, ros2 launch, ros2 bag, RViz2
Drivers configured LiDAR scan publisher, VESC driver with odometry and drive-command topics, vehicle transform tree
Compatible open-source stacks Packages published under the f1tenth GitHub organisation, including the f1tenth_gym simulator; SLAM packages such as slam_toolbox and Cartographer
Remote access SSH over Wi-Fi or Ethernet; a laptop on the same network joins the ROS 2 graph for visualisation
GPU workloads PyTorch, TensorRT and OpenCV pipelines run onboard for learned perception and policies

Priced option

Software Setup / Technical Support


Included in the INR 628,000 + GST option; INR 580,000 + GST is the same complete Core Kit without it. It is not included in the US$5,639 international price.

Software setup

Loading of the operating system for the NVIDIA Jetson and complete ROS stack configuration, validated on the vehicle before it is dispatched.

Technical support

Remote hardware and software technical support for up to 60 days post delivery, to assist with deployment and setup.