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AION ROBOTICS CORPORATION Tech Stack
Autonomous vehicles for infrastructure monitoring and inspection
AION Robotics builds rugged autonomous ground and aerial vehicles for outdoor jobsite inspection and monitoring. The stack reveals a hardware-first, perception-heavy architecture: NVIDIA Jetson + Orin + DeepStream + TensorRT for edge inference, ROS 2 for vehicle control, and AWS for cloud command-and-control. Active projects around neural network optimization and low-latency edge inference, paired with pain points in embedded performance and perception accuracy, signal a company solving the hard real-time constraints of autonomous field robotics rather than selling pre-packaged solutions.
Tech Stack 27 technologies
Core StackAWS C++ JavaScript GitHub Java Kotlin SolidWorks Docker CircleCI Linux ROS 2 NVIDIA Orin NVIDIA DeepStream TensorRT CUDA CVAT ResNet LiDAR GNSS CAN bus Kotlin Multiplatform iOS Android Unreal Engine CMake NVIDIA Jetson Jetpack
What AION ROBOTICS CORPORATION Is Building
◆Challenges
- Reducing latency in edge inference
- Optimizing throughput on embedded devices
- Improving perception accuracy
- Scaling deployment of autonomous products
- Low-latency performance
▲Active Projects
- Cloud connectivity and real-time command and control between c3 mobile control app and autonomous vehicles
- Real-time autonomous vehicle perception system
- Ultra-efficient neural network inference pipelines
- Automated data collection pipelines
- High-fidelity real-time simulations for autonomous robotic vehicles
- Real-world control and training simulations
- Integration of unreal engine with ros/ros2
- Real-time vehicle control android app
- Aws integration for vehicle data management
Hiring Activity
Minimal10 roles · 0 in 30d
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