Navrysa Labs / Research
Autonomous Systems
Context-aware intelligence for robots and machines that must operate safely in dynamic environments, under constrained compute, sensing, energy and communication conditions.
Sense
Fuse local perception and environmental signals to maintain awareness under uncertainty.
Allocate
Adapt sensing, compute, communication and mission resources to changing context and task priorities.
Act
Execute bounded autonomous behaviour while preserving safety, auditability and human control.
Research direction
Real autonomy is a resource and reasoning problem.
Autonomous platforms do not operate with unlimited power, bandwidth, compute or certainty. This programme studies systems that reason about the environment and about their own operational constraints at the same time.
Edge AI
Adaptive perception
Choose when, where and how much sensing or inference is needed instead of running every model at maximum cost.
Planning
Context-aware resource allocation
Balance mission objectives, energy, compute, network conditions, risk and uncertainty in changing environments.
Security
Resilient autonomy
Design for degraded sensors, unreliable communication, abnormal software behaviour and adversarial conditions.
Platforms
Ground, aerial & embedded systems
Research is intended to transfer across autonomous ground robots, drones and other mobile sensing platforms.
Research topics
- Resilient autonomy
- Adaptive perception
- Resource-aware intelligence
- Security for autonomous platforms
- Cyber-physical resilience
- Degraded-mode operation
Autonomy is a Navrysa research direction rather than a standalone commercial offering. Security work for autonomous and connected platforms is available today under Connected Systems Security.
Autonomous Systems
Research that transfers.
Prototype development focuses on outdoor autonomous ground systems and context-aware edge intelligence. Collaboration and sponsored-research enquiries are welcome.