Our pipeline is built on the NVIDIA robotics ecosystem
R-Power's evaluation and control systems are developed on the NVIDIA Jetson, Isaac Sim, TensorRT, and ROS2 ecosystem, forming a closed loop from cloud simulation to model optimization, edge deployment, and real-world field calibration.
A simulation + field dual loop
Real fault data feeds back to refine the simulation model — every field run makes simulation more real, and every simulation iteration cuts field-test cost.
High-fidelity physics with domain randomization: powertrain, terrain interaction, and multi-vehicle scenarios simulated at batch scale
Perception and control models quantized and operator-optimized for lower edge compute and latency
Optimized models deployed on on-board edge computers — real-time inference and capture in one step
Field-measured data flows back to refine the simulation model — closed loop
Core algorithms, fully in-house
Multi-source fusion
Unified ingestion and quality validation for IMU / vision / CAN / coordination-link data.
Unified time-base engineering
Time synchronization and alignment under GNSS-denied conditions — the foundation of trustworthy evaluation.
Fault injection engine
A library of designed, reproducible, replayable standardized fault scenarios.
Temporal alignment & segmentation
Cross-source alignment with automatic event slicing — fault attribution gets dramatically faster.
RRI / CRI metrics
Quantified scoring for reliability and coordination; conclusions are reproducible and auditable.
Motion-state sensing & power control
Real-time chassis state sensing and power-distribution control on the Jetson edge node.
Dedicated developers across the stack
Our core R&D team covers embedded hardware, edge algorithms, and system integration — hardware to algorithm to platform. See the team section on the About page.
Hardware engineering
Vehicle-mounted measurement unit design, sensor integration, and vehicle validation.
Edge algorithms
Jetson-side inference deployment, TensorRT optimization, and data pipelines.
Platform & systems
Evaluation platform architecture, temporal alignment, metric computation, and system delivery.
Ecosystem & trademark notice
NVIDIA, Jetson, Isaac Sim, and TensorRT are trademarks or registered trademarks of NVIDIA Corporation. R-Power is an independent company with no affiliation, partnership, joint venture, or investment relationship with NVIDIA; references to NVIDIA products on this site describe only the technology ecosystem on which our R&D is based. This project is independently developed and not officially endorsed by NVIDIA. R-Power (R-Power Technologies Limited, Hong Kong) is not affiliated with R.Power Group, the European solar energy company.