Robotics & Autonomous Systems Engineering Services
Quantum develops custom software for autonomous systems operating in dynamic real-world environments. We combine computer vision, Edge AI, sensor fusion, and simulation to help engineering teams build reliable autonomous products — from prototype to production.
Talk to an ExpertBuilt for Robotics and Autonomy Teams
Robotics and Autonomous Systems Engineering
Edge AI
Building vision pipelines optimized for embedded hardware with low-latency inference, efficient AI models, and edge-ready system architectures.
Computer Vision
Developing computer vision systems for real-time object detection, tracking, segmentation, scene understanding, and visual inspection across autonomous platforms.
Multi-Sensor Awareness
Fusing data from cameras, LiDAR, GNSS, IMU, radar, and other sensors into a unified real-time environmental model for reliable autonomous operation.
Movement Intelligence
Developing motion planning and decision-making software for safe trajectory generation, obstacles avoidance, and adaptive movement in dynamic environments.
Autonomous Navigation
Building localization and positioning software for reliable navigation in complex and GPS-denied environments using visual perception, sensor fusion, and environmental awareness.
Simulation & Synthetic Data
Creating simulation environments and synthetic datasets to validate autonomous systems, accelerate development, and reduce real-world testing risks.
Robot Control & Platform Integration
Adapting AI algorithms to existing robotics platforms, embedded hardware, and edge computing environments.
The Autonomy Stack We Build On
Robotics Middleware
- ROS 2
- PX4
- ArduPilot
Embedded AI Platforms
- RGB Cameras
- Thermal Cameras
- LiDAR
- IMU
- GNSS / RTK
Simulation
- Gazebo
- FlightGear + ArduPilot SITL
- AirSim + ArduPilot SITL
Navigation & Localization
- Visual-Inertial Odometry (VIO)
- Map Matching
Where Our Software Operates
Agricultural Field Analysis
Automate field monitoring through autonomous drone missions and cameras mounted on tractors and irrigation equipment. Combine geotagged imagery with historical and soil data to generate field maps, assess crop health, detect anomalies, and support precision farming operations.
Real-Time Stone Detection & Mapping
Autonomous stone detection and mapping using a vehicle-mounted device equipped with an embedded processor, camera, GPS, and LTE or Starlink connectivity. Transfer stone locations to Garmin navigation systems to optimize picker routes, prevent equipment damage, and reduce operating time and fuel consumption.
Autonomous Infrastructure Inspection
AI-powered inspection of power lines, pipelines, roads, railways, and other critical infrastructure using autonomous navigation, computer vision, and thermal imaging. Detect structural defects, vegetation encroachment, thermal anomalies, and other operational risks before they impact safety or operations.
Navigation in GPS-Denied Environments
Enable reliable autonomous navigation in environments where GNSS signals are degraded or unavailable using visual perception, localization, and environmental feature recognition. Maintain accurate positioning and stable operation without continuous satellite connectivity.
Greenhouse Data Collection
Autonomous data collection across greenhouses using drones, tractors, irrigation systems, cameras, sensors, and other connected equipment. The system automatically captures operational and visual data, assigns geolocation, and uploads it to the cloud for further processing and analysis. Different collection workflows can be configured for individual greenhouse operations.
Industrial Machine Vision
Deploy AI-powered vision systems for automated quality inspection, object detection, defect identification, and anomaly detection across manufacturing and industrial environments. Process visual data directly on edge devices to support low-latency decisions, offline operation, and integration with existing machinery and control systems.
How Quantum Guarantees Quality
Verification
- Unit & integration testing
- Perception pipeline validation
- Navigation algorithm verification
- Embedded system testing
Validation
- Simulation-based testing
- Sim-to-real validation
- Field testing
- Hardware-in-the-loop (HIL)
Engineering Standards
- ISO 9001:2015 certified QMS
- ROS 2 engineering practices
- Modular software architecture
- CI/CD for embedded AI
Real Results, Real Impact
AI Agent for Greenhouse Resource Optimizaton
AI-driven copilot for smart greenhouse optimizes climate ad resource management.
- 10% Revenue Loss Reduction
- 10x Less Grower Involvement
10% Revenue Loss Reduction
10x Less Grower Involvement