Research & Development

Aeronica is a technology-first company. We dedicate over 25% of our engineering bandwidth to basic and applied research in aeronautics, embedded electronics, and spatial AI.

First-Principles Engineering

Pushing the Limits of Indigenous Aerial Systems

India deserves drone technology that is secure, compliant, and optimized for local conditions. Our R&D team in Pune designs carbon fiber airframes, custom-manufactures embedded avionic circuit boards, and builds spatial computer vision pipelines from the ground up.

Through joint research programs with leading academic institutes like IIT Bombay and IIT Pune, we translate academic advances directly into field-ready technology.

R&D Focus Metrics

25%Revenue reinvested in R&D
12+Academic collaborations
4+Patents filed (India)
100%IP owned by Aeronica
Core Spheres

Our Technical Pillars

Aerodynamics & Composite Structures

Optimizing airframe efficiency and structural integrity through carbon fiber composite engineering and Finite Element Analysis (FEA).

Active Research Fields

  • High-modulus carbon fiber layup optimization for maximum strength-to-weight ratio
  • Computational Fluid Dynamics (CFD) simulation for low-drag airframe geometries
  • Vibration analysis and damping structures for sensor stabilization
  • Field-testing and structural integrity validation in extreme operating temperatures (+45°C)

Autonomous Avionics & Sensor Fusion

Designing the firmware and hardware that allow our aircraft to fly safely, coordinate paths, and process telemetry in real-time.

Active Research Fields

  • Triple-redundant IMU sensor fusion with advanced Extended Kalman Filters (EKF)
  • Secure firmware stack built on custom-hardened PX4 autopilot codebase
  • Real-time terrain following utilizing ground-facing radar and LiDAR sensor feeds
  • BVLOS failsafe logic and autonomous return-to-home path calculation

Geospatial AI & Edge Inference

Harnessing deep learning algorithms to analyze aerial imagery on-site and in the cloud for high-accuracy defect and disease mapping.

Active Research Fields

  • Onboard edge AI inference for real-time target identification and object tracking
  • Deep learning segmentation models for automated crop disease classification (95%+ accuracy)
  • Automated infrastructure inspection processing: crack, rust, and hotspot detection
  • NDVI, NDRE, and multispectral vegetation index mapping pipelines
R&D Initiatives

Active Projects Portfolio

AvionicsActive R&D

Nitya FC Next-Gen Development

Next iteration of our indigenous flight controller integrating secure enclave technology (TPM 2.0) and CAN-FD peripheral support.

GeospatialBeta Testing

AI-Powered Railway Ballast Profiling

Collaborative project with Central Railway training neural networks to automatically assess ballast health from high-res orthomosaics.

Fluid DynamicsCompleted & Integrated

Centrifugal Spray Atomization Optimization

Refining rotary nozzle parameters to minimize drift and achieve standard 150-micron droplet uniformity across varying spray altitudes.

OEM Services & Academic Collaboration

We build custom UAV platforms and integrate third-party sensor packages for defense, industrial R&D, and research institutes. We also support academic departments with evaluation units, raw data sharing, and research grants.

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