India’s push to build indigenous drones is increasingly moving beyond airframes, motors and payloads into a less visible but equally critical layer of technology: the sensors and navigation electronics that allow an unmanned vehicle to understand where it is, how it is moving and where it needs to go.
Bengaluru-based deep-tech startup Yaanendriya is targeting this technology gap by developing inertial sensors, positioning modules, navigation controllers and sensor-fusion systems in India for drones, robots, autonomous vehicles and defence platforms.
Incorporated in February 2025, the company is building a portfolio spanning MEMS-based inertial measurement technologies, Attitude and Heading Reference Systems, Vertical Reference Units, GNSS positioning modules and navigation controllers.
The significance of this work extends beyond the individual products. Navigation electronics form part of the technological core of almost every autonomous platform, and creating an indigenous ecosystem for these systems could reduce dependence on imported components in India’s rapidly expanding drone and robotics industries.
Giving a Drone Its Sense of Motion
A drone cannot navigate reliably merely because it has motors, propellers and a flight computer. It must continuously determine its orientation, acceleration, direction of movement and position.
This is where inertial sensors become important.
An Inertial Measurement Unit typically uses accelerometers and gyroscopes to measure acceleration and rotational movement. More sophisticated systems combine these measurements with magnetometers, satellite-navigation receivers, barometers and software algorithms to produce an increasingly accurate picture of a vehicle’s movement and orientation.
The resulting information is fed into the navigation and flight-control system, allowing a drone to remain stable, maintain its heading and execute manoeuvres.
Yaanendriya is attempting to develop several elements of this technology stack domestically rather than concentrating on a single sensor or flight-control product.
YDx Provides the Inertial Sensing Layer
One of the company’s principal product families is YDx, a series of high-precision inertial sensing modules.
Yaanendriya has developed these modules for applications including Vertical Reference Unit and Attitude and Heading Reference System functions. Different configurations combine accelerometers, gyroscopes and magnetometers with the company’s own sensor-fusion algorithms.
These algorithms are important because raw measurements from MEMS sensors contain noise, bias and drift. A navigation system therefore cannot simply read individual sensors and assume that their measurements provide a perfect representation of the vehicle’s movement.
Sensor-fusion software combines multiple streams of information and continuously estimates the actual orientation and movement of the platform.
Yaanendriya says its YDx systems incorporate compensation for factors including scale errors, misalignment and sensor bias. Industrial and tactical-grade variants are being developed for different operating requirements.
The company’s YDx M CB-2-S, for example, is a compact nine-degree-of-freedom AHRS integrating a three-axis accelerometer, three-axis gyroscope and three-axis magnetometer.
The module uses Yaanendriya’s internally developed sensor-fusion algorithm to calculate attitude and heading while managing sensor noise, drift and environmental uncertainties.
Syncore Moves From Sensing to Navigation Control
Yaanendriya is also developing navigation controllers under its Syncore family.
Its Syncore U1 is designed for drones, ground robots and autonomous underwater systems and uses an STM32H743 processor operating at 480 MHz.
The controller incorporates redundant inertial measurement units and a barometer while providing interfaces for additional sensors and equipment. It supports widely used PX4 and ArduPilot flight-control software as well as customised firmware.
The architecture means Syncore can act as a central navigation and control platform rather than merely supplying raw sensor information.
Yaanendriya has also developed Syncore Nano for smaller UAVs, ground robots, swarm platforms and embedded autonomous systems.
The compact controller integrates redundant IMUs, a barometer and magnetometer and is designed to perform real-time sensor fusion and state estimation within a small package.
Such controllers are particularly relevant to India’s expanding ecosystem of small drones, autonomous ground vehicles and swarm systems, where size, weight, power consumption and cost can be as important as raw computing performance.
GNSS Remains Another Part of the Navigation Stack
Alongside inertial sensing and navigation controllers, Yaanendriya is developing satellite-positioning modules.
Its YPS E module combines multi-constellation GNSS reception with a digital compass for drone and robotic applications. The system supports multiple satellite-navigation constellations and is designed for integration with Pixhawk-based systems and flight stacks including PX4 and ArduPilot.
The module also incorporates features intended to detect spoofing and jamming conditions.
Combining GNSS with inertial sensors is important because the two technologies compensate for different weaknesses.
Satellite navigation can provide an absolute position reference but may become unreliable when signals are blocked, degraded, spoofed or jammed. Inertial navigation does not require continuous external satellite signals, but errors accumulate over time as small measurement inaccuracies produce progressively larger positional drift.
Modern navigation systems therefore combine multiple sensors and positioning sources so that weaknesses in one can be partially compensated by information from another.
Why Navigation Is Critical for Defence Drones
The military importance of this technology becomes particularly apparent in electronically contested environments.
Conventional commercial drones frequently depend heavily on satellite navigation. An adversary capable of disrupting GNSS signals can therefore interfere with navigation, targeting and autonomous flight.
More resilient military UAVs require multiple sources of navigation information.
Inertial sensing provides one such layer because accelerometers and gyroscopes measure movement internally rather than relying on an external radio signal. When integrated with other sensors and sophisticated navigation algorithms, inertial systems can help an unmanned platform continue operating when satellite-navigation information becomes unreliable or unavailable.
This does not mean that a basic IMU by itself makes a drone immune to electronic warfare. High-quality navigation in GNSS-denied conditions is a much more complex problem involving sensor accuracy, accumulated drift, algorithms and potentially additional navigation sources.
Nevertheless, indigenous inertial sensing and navigation-control technologies are essential building blocks for developing increasingly resilient Indian unmanned systems.
The Challenge Goes Deeper Than Building Indian Drone Airframes
India has made substantial progress in creating domestic UAV manufacturers, but genuine technological self-reliance requires localisation further down the component chain.
A drone assembled in India may still depend on imported flight controllers, IMUs, GNSS receivers, processors, communications equipment, cameras and other electronic components.
These dependencies can become particularly important for defence applications because the supply chain itself forms part of the security of the platform.
Imported critical components can create problems involving availability, long-term support, cybersecurity, modification rights and access during geopolitical disruptions.
Building domestic capability in navigation electronics therefore addresses a different level of self-reliance from simply manufacturing the drone’s structure in India.
From Individual Components Towards an Indian Sensor Ecosystem
Yaanendriya describes its objective as building a sensor ecosystem in India rather than developing a single navigation product.
That approach is visible across its emerging portfolio. The company is working on inertial sensing modules, positioning systems, navigation controllers, communication electronics and the software algorithms required to combine sensor information.
Its target markets extend beyond aerial drones to autonomous ground vehicles, underwater systems, industrial robotics, automotive applications and other machines requiring accurate motion and positioning information.
This wider market could be important for the economics of indigenous sensor manufacturing. Technologies developed for UAVs can also find applications in robotics, industrial automation, autonomous vehicles, agricultural machinery and research platforms, allowing production volumes to extend beyond defence procurement alone.
₹15 Crore Funding to Scale Indigenous Navigation Technology
Yaanendriya has also secured ₹15 crore in funding from Piper Serica, providing additional capital to expand research and development and move its indigenous navigation and sensing technologies towards larger-scale commercial deployment.
For a young deep-tech company, the funding is particularly relevant because sensor technology requires more than software development. Products must be designed, calibrated, characterised and repeatedly tested if they are to provide dependable measurements under real operating conditions.
Navigation technologies intended for demanding industrial and defence applications must additionally demonstrate consistency under vibration, temperature variation and other environmental stresses.
Moving from prototype development to reliable production therefore represents an important stage for companies working in this field.
Building the Less Visible Layer of India’s Drone Ecosystem
The rapid expansion of India’s drone industry has naturally placed attention on visible platforms such as reconnaissance UAVs, FPV drones, logistics aircraft and autonomous combat systems.
Yet the ability to manufacture the electronics inside those platforms could ultimately prove just as strategically important.
Navigation controllers, inertial sensors and positioning systems determine whether an autonomous machine can accurately perceive its movement and translate commands into stable, predictable motion.
Yaanendriya’s work represents an effort to build this less visible technological layer domestically.
REFERENCES
- Yaanendriya — Official Website. Company information and indigenous sensing, navigation and autonomous-system technologies.
https://yaanendriya.com/ - Yaanendriya — Products. Official technical information covering the YDx inertial sensing family, YPS E positioning module, Syncore U1, Syncore Nano and other sensing and navigation products.
https://yaanendriya.com/products - Yaanendriya — Syncore U1 Indigenous High Performance Navigation Controller. Official product specifications.
https://www.yaanendriya.com/products/syncore-u1 - Yaanendriya — Syncore Nano Navigation Controller. Official product specifications for compact UAV, UGV, swarm and embedded autonomous applications.
https://yaanendriya.com/products/syncore-nano - Yaanendriya — YPS E L1 GNSS + Compass Module. Official product specifications.
https://yaanendriya.com/products/yps-e - Yaanendriya — YDx M CB-2-S AHRS. Official product information covering the company’s inertial sensing and YQF sensor-fusion technology.
https://yaanendriya.com/products/ydx-m-cb-2-s
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