OpenPodcar2: a robust, ROS2 vehicle for self-driving research
A $7,000 open-source self-driving scooter platform built on ROS2 could lower the cost of autonomous vehicle research by an order of magnitude.
The Thesis
Most autonomous vehicle research happens on expensive, proprietary platforms that cost six figures and require specialized expertise to operate. OpenPodcar2 is an open-source hardware and software platform — built on a standard mobility scooter — that brings that cost down to roughly $7,000 from new parts, or $2,000 with a used donor vehicle. It uses ROS2 (Robot Operating System 2, a widely used open-source robotics middleware) and can carry a human passenger at up to 15 km/h, making it plausible for last-mile transit or campus delivery pilots. The catch is that this is a research platform paper, not a deployment readiness report: the authors have not published safety certifications, large-scale field trials, or comparisons against commercial alternatives.
Catalyst
ROS2 has matured enough — with stable navigation stacks like nav2 and robust SLAM (simultaneous localization and mapping, the technique robots use to build a map while tracking their own position) — to make a sub-$10,000 autonomous vehicle a credible research tool rather than a toy. At the same time, off-the-shelf mobility scooters have become a reliable, CE-certified donor platform that sidesteps the need to build a chassis from scratch. The combination of maturing open-source software and commodity hardware makes this moment different from five years ago, when neither pillar was stable enough.
What's New
The original OpenPodcar used older ROS1 software and lacked the electronics hardening needed for outdoor or extended use. ROS1 has an end-of-life date and is increasingly unsupported, so any serious research platform needed to migrate. OpenPodcar2 upgrades to ROS2, integrates the OSH R4 mechatronics board (a general-purpose open-source hardware controller), and adds a Gazebo simulation environment so researchers can test autonomy software before touching the physical vehicle — a workflow the first version did not support.
The Counter
A $7,000 scooter running open-source nav software is a compelling headline, but the paper is essentially a build guide, not a rigorous autonomous driving evaluation. There are no published safety certifications, no systematic comparison of navigation performance against commercial alternatives, and no multi-month field deployment data. The 15 km/h top speed and human-carrying capability sound useful, but they also raise liability and regulatory questions the paper does not address. Real last-mile deployment — even on a university campus — involves insurance, local transport authority approval, and edge-case safety engineering that a bill of materials and a Gazebo simulation do not solve. Dozens of open-source robotics platforms have been published over the past decade with similar promise and have not achieved meaningful deployment outside the labs that built them. The platform may be a genuinely useful research tool, but the gap between 'open-source research vehicle' and 'deployable autonomous taxi' remains very wide.
Longs
- LIDAR ETF or sensor plays such as Innoviz Technologies (INVZ) — low-cost AV platforms need affordable sensors
- BOTZ (Global Robotics & Automation ETF) — broad exposure to autonomous mobile platforms
- Clearfield (CLFD) — connectivity infrastructure for smart campus and last-mile deployments
- Raspberry Pi / compute-on-a-budget plays: not yet public, but watch the embedded compute supply chain
Shorts
- Proprietary research AV platform vendors (e.g., companies selling six-figure golf-cart-style research vehicles) — their pricing moat erodes if open platforms prove capable enough
- Closed ROS1-based platform developers — the migration to ROS2 makes older proprietary stacks less relevant
Enablers (Picks & Shovels)
- ROS2 / nav2 open-source navigation stack — the core software infrastructure the platform runs on
- Open Source Hardware R4 mechatronics board — the electronics integration layer
- Gazebo simulation environment — enables software testing without physical hardware
- Low-cost LiDAR sensors (e.g., RPLidar series) — the sensing layer that makes SLAM affordable
- Off-the-shelf mobility scooter manufacturers (e.g., Pride Mobility, Drive Medical) — the donor vehicle supply chain
Private Watchlist
- Tortoise (last-mile autonomous delivery robots, similar deployment context)
- Cartken (campus and sidewalk autonomous delivery)
- Formant (ROS-based fleet management software)
- Verdant Robotics (open-hardware-adjacent agricultural autonomy)
Resources
The Paper
OpenPodcar2 is a robust, ROS2-interfaced, low-cost, open source hardware and software, autonomous vehicle platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. It is a modification of the previous OpenPodcar design, which extends it with robust electronics and ROS2 interfacing, to enable both research and also potential deployment use cases. The platform consists of (a) hardware components: documented as a bill of materials and build instructions; (b) integration to the general purpose OSH R4 mechatronics board and a Gazebo simulation of the vehicle, both presenting a common ROS2 interface (c) higher-level ROS2 software implementations and configurations of standard robot autonomous planning and control, including the nav2 stack which performs SLAM and enacts commands to drive the vehicle from a current to a desired pose around obstacles. OpenPodcar2 can transport a human passenger or similar load at speeds up to 15km/h, for example for use as a last-mile autonomous taxi service or to transport delivery containers similarly around a city center. It is small and safe enough to be parked in a standard research lab robust enough for some deployment cases. Total build cost was around 7,000USD from new components, or 2,000USD with a used Donor Vehicle. OpenPodcar2 thus provides a research balance between real world utility, safety, cost and robustness.