CyberRobotix.AI
Testbeds, simulation environment for cybersecurity
and safety evaluations of autonomous robots and swarms
Cybersecurity and safety requirements towards autonomous robots are orders of magnitude stricter compared to any earlier consumer products.
The danger of hacking robots that can freely move around in public places may tragically lead to lethal consequences.
The stakes are getting higher.
SIMULATIONS FOR
Single robots
- Simulation environment to test the safety of individual robots in various simulated scenarios
- Stress testing for security, fault tolerance and operational integrity under different environmental conditions
Cooperating robots
- Simulation of multiple robots working together
- Testing cooperation mechanisms, communication protocols and coordinated task execution
- Safety and security validation ensuring that cooperation does not lead to emergent risks
Swarms
- Simulating large-scale swarms of autonomous robots
- Ensuring the swarm’s collective behavior remains secure, safe and stable even under complex, dynamic and potentially adversarial conditions
TECHNOLOGIES
Digital Twins
- A realistic 3D model of the robot’s body is used in simulation
- All sensors are emulated as a virtual reality for robots
- Commands towards robotic actuators control the movement within the simulation
Software-in-the-Loop
- SiL technology ensures that the same control algorithms and neural networks are used for testing and for real operations
- Support for hybrid solutions of combining cloud based remote control with on device edge computing
Hardware-in-the-Loop
- HiL technology provides identical execution environment in simulation and in reality
- Simulated connections to sensors and actuators should be solved at electronics level
HSM-in-the-Loop
- For secure and reliable identification of robots the root of trust is provided by a Hardware Security Module
- Strong encryption based solutions
TESTBEDS
CRxAI Cluster 24
- Cluster of 24 NVIDIA Jetson Orin Nano
- NVIDIA Ampere architecture GPUs
- 1608 TOPS performance
- 192 GB RAM
- 48 TB SSD
CRxAI Cluster 48
- Cluster of 48 NVIDIA Jetson Orin Nano
- NVIDIA Ampere architecture GPUs
- 3216 TOPS performance
- 384 GB RAM
- 96 TB SSD
CRxAI Cluster 48wHSM
- Cluster of 48 NVIDIA Jetson Orin Nano
- NVIDIA Ampere architecture GPUs
- 3216 TOPS performance
- 384 GB RAM
- 96 TB SSD
- 48 Infineon Optiga TPM 2.0
NEWS
CPSWARM – Collaborative Engineering of Cyber-Physical Systems Swarms
CPSWARM was a European Union-funded research project under the Horizon 2020 program, running from 1st January 1 2017 to 31st December 2019. The project aimed to simplify the design and deployment of complex, collaborative Cyber-Physical Systems (CPS) swarms by developing a comprehensive toolchain. This toolchain enabled engineers to model, simulate, optimize, and deploy swarms of CPS, addressing real-world challenges across various domains.