Psionic Nav provides a cloud‑hosted simulation platform for robotics developers to test navigation and control algorithms in a physics‑accurate virtual environment. Users build obstacle courses and sensor configurations via a web interface, run ROS‑compatible code, and view real‑time telemetry and visualizations for rapid debugging and CI integration. The service enables scalable, repeatable testing without physical hardware, reducing development cost and cycle time.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Robotics teams often need to validate navigation and control algorithms across diverse environments, but physical testing requires expensive hardware setups and can be time‑consuming. Limited access to repeatable, safe test scenarios slows development cycles and increases the risk of deployment failures.
Solution
Psionic Nav offers a cloud‑hosted simulation platform that lets developers create, run, and analyze robot navigation challenges without physical hardware. Users can configure obstacle courses, terrain types, and sensor models through a web interface, then execute their control code in a physics‑accurate virtual world. The platform streams real‑time telemetry and visualizations back to the browser, enabling rapid debugging and performance profiling. Integration hooks allow seamless import of ROS packages or custom control stacks, while results can be exported for further analysis or CI pipelines. By providing a scalable, on‑demand testing environment, Psionic Nav reduces the cost and latency of iterative robotics development.
Target Audience
The primary users are robotics engineers, autonomous‑vehicle developers, and research labs that require fast, repeatable validation of navigation and control algorithms.
Features
- Browser‑based scenario builder with drag‑and‑drop placement of obstacles, waypoints, and dynamic agents
- High‑fidelity physics engine supporting differential drive, legged, and aerial robot dynamics
- Configurable sensor suites (LiDAR, depth camera, IMU) with realistic noise models
- Real‑time telemetry dashboard showing pose, velocity, and sensor streams with playback controls
- RESTful API and ROS bridge for direct deployment of existing control software into the simulator
- Automated batch execution for large‑scale parameter sweeps and regression testing
- Secure multi‑user workspaces with role‑based access and versioned scenario libraries