3Laws Robotics provides a software‑only safety layer called Supervisor that can be inserted into existing autonomy stacks to monitor sensor data and filter control commands for real‑time collision avoidance, geofencing, stabilization, and fault management. The plug‑and‑play module integrates with ROS 2 Nav2 and other middleware, eliminating the need for hardware e‑stop mechanisms while delivering health diagnostics and configurable safety thresholds for robots, drones, and autonomous vehicles.
Funding
$4.1M 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.
TVFounders
Product
Problem
Robotic and autonomous systems often rely on hard‑stop (e‑stop) mechanisms and extensive safety case engineering, which increase production costs, extend development cycles, and limit operation in dynamic environments. Traditional safety layers add hardware complexity and require manual tuning for each platform, making it difficult to scale across diverse robots and drones.
Solution
3Laws Robotics offers a software‑only safety layer—called Supervisor—that can be inserted into existing autonomy stacks without hardware changes. The layer continuously monitors sensor inputs and adjusts navigation commands to enforce collision avoidance, geofencing, stabilization, and fault management in real time. By filtering and moderating control signals, the system eliminates the need for physical e‑stop triggers while preserving safe operation. It integrates with common frameworks such as ROS 2 Nav2 and supports both new and legacy platforms, reducing development effort and operational overhead. The solution also provides health diagnostics and real‑time safety monitoring to maintain reliability during extended deployments.
Target Audience
The primary customers are robotics OEMs, autonomous vehicle developers, drone manufacturers, and system integrators who need a scalable safety solution for mobile robots, industrial automation, and defense platforms, particularly those using ROS 2 or similar autonomy frameworks.
Features
- Plug‑and‑play signal filtering module that intercepts and adjusts control commands for safety without modifying the underlying autonomy stack
- Dynamic collision avoidance that modifies trajectory commands based on proximity data, allowing continuous operation around moving obstacles
- Geofencing engine that enforces spatial boundaries for ground and aerial platforms, configurable via simple geographic or altitude constraints
- Stabilization controller that detects and mitigates tip‑over, wobble, and oscillation conditions to keep the robot upright under load
- Fault‑management subsystem that detects sensor or actuator failures and switches the robot into a predefined failsafe mode instantly
- Compatibility layer for ROS 2 Nav2 and other popular middleware, enabling rapid integration across a wide range of robotic applications
- Real‑time health diagnostics dashboard that streams system status, safety events, and performance metrics to operators or cloud services
- API and configuration files that allow developers to customize safety thresholds, response strategies, and integration points without code changes