Hello ROS2 community,
I’m exploring a challenge that I believe will become increasingly important as ROS2-based autonomous systems move from development environments into large-scale real-world deployments.
Today, ROS2 enables powerful robotic applications through communication, orchestration, and ecosystem tooling. However, as autonomy increases, teams are facing additional questions:
- How do we understand why an autonomous system made a specific decision?
- How do we determine whether an action should be allowed at runtime?
- How do we detect unexpected behavior before it becomes an operational issue?
- How do we create auditability and governance for autonomous decisions?
I’m working with a team building VYRA, a runtime trust and authorization layer for autonomous systems. Our focus is exploring how robotics teams can add capabilities such as:
- Runtime visibility into autonomous behavior
- Action authorization policies
- Trust scoring and behavioral monitoring
- Anomaly detection
- Decision audit trails
We are interested in learning from the ROS2 community especially teams building:
- Autonomous mobile robots (AMRs)
- Industrial robots
- Warehouse automation systems
- Drones
- Physical AI applications
- Multi-robot systems
At this stage, we are not looking for beta testers or product users. We are looking for a small group of robotics engineers and teams willing to share their experiences and help us understand:
- What trust and safety challenges appear in production robotics today?
- What telemetry and decision data are most valuable?
- Where do current ROS2 deployments need additional layers as autonomy scales?
We are hoping to collaborate with a few teams as early design partners to explore these questions together.
Participants would have the opportunity to:
- Influence the direction of an emerging robotics infrastructure layer
- Share real-world requirements and use cases
- Review early concepts and prototypes
- Collaborate directly with our engineering team
If you are building ROS2-based autonomous systems in production or research and this topic is relevant to your work, I would appreciate connecting and learning from your experience.
Thanks,
Tushar