Autonomous drone landing built around the pad.
Airsent is developing a precision autonomous drone landing platform centered on a smart landing pad and non-camera sensing. Instead of relying on vision-based targeting, the system is designed to guide the drone into a controlled, repeatable, and reliable touchdown using a dedicated landing infrastructure layer.
Why our sensor-fusion approach matters
Airsent is not trying to be another vision-based drone landing system. The core product is a precision landing architecture powered by sensor fusion and built around a dedicated landing pad. That matters because final approach reliability should not depend on lighting conditions, visual ambiguity, or complex image processing as the main determinant of touchdown.
More deterministic
A pad-centered system makes the landing environment more controlled and more repeatable than a fully open-ended visual search problem.
Clearer product boundary
The landing pad is not an accessory. It is a core part of the product and creates a defensible operating model for precision drone delivery.
Mission-focused design
Instead of solving every landing environment at once, Airsent focuses on reliable landing where the system can define the final interaction.
System architecture
Airsent combines autonomous flight, non-camera sensing, and a smart landing pad into one integrated platform. The drone does not simply fly to a location — it completes the mission through coordinated interaction with landing infrastructure.
How it works
The product is built around one question: how does a drone complete the last and most critical phase of the mission with higher confidence? Airsent answers that by turning the landing pad into an active part of the system.
Navigate to target zone
The drone performs autonomous flight to the destination area and prepares for final landing mode.
Transition to landing sequence
The vehicle moves from general navigation into a dedicated final-approach logic tied to the landing system.
Interface with the pad system
The landing pad becomes the reference environment for controlled touchdown, rather than relying on open-ended vision-based interpretation.
Refine final approach
Non-camera sensing and control logic tighten the descent and correct the landing path in real time.
What this unlocks
A controlled, pad-centered landing model can make drone delivery more practical, safer, and easier to standardize for real deployments.
Precision delivery infrastructure
The product can evolve into a delivery ecosystem where portable or fixed landing pads define where drones can complete missions cleanly and reliably.
Better final-meter reliability
The real bottleneck in autonomous delivery is often the last phase of touchdown. Airsent is designed specifically around solving that endgame.
Potential applications
A precision landing platform powered by sensor fusion can support delivery environments where consistency, repeatability, and controlled touchdown matter most.
Last-mile logistics
A dedicated landing system can make recurring drone deliveries more operationally predictable.
Residential landing pads
Portable or designated home landing surfaces could become the endpoint for future autonomous deliveries.
Campus and enterprise
Controlled landing points are easier to standardize across repeat-use environments like campuses and facilities.
Emergency operations
Reliable touchdown on prepared landing infrastructure can support rapid-response supply delivery scenarios.
Roadmap
The focus is to move from prototype-level autonomy toward a validated sensor-fusion precision landing system centered around a deployable pad solution.
Prototype platform
Build the initial autonomous drone platform and integrate the core landing pad concept into the mission architecture.
Pad-guided landing validation
Demonstrate repeatable touchdown using the landing pad and non-camera sensing as the core final-approach workflow.
Scalable delivery system
Expand from prototype landing success into a broader precision delivery platform built around landing infrastructure.
Ground control software
Airsent's custom GCS gives operators full situational awareness — from pre-flight through touchdown. Every screen is built around the precision landing mission.
Full-mission situational awareness
Live telemetry, map tracking, motor outputs, and sensor health — all on one screen. RTK GPS fix, EKF status, and battery levels update in real time during flight.
Visual waypoint mission builder
Plan, upload, and manage autonomous flight missions on a live map. Set altitude, speed, and RTL behavior per waypoint — total distance and ETA calculated automatically.
Sensor connectivity at a glance
A node-graph view shows every sensor's link to the flight controller — GPS, IMU, barometer, optical flow, LiDAR, ESCs, and telemetry — with live OK/fault status.
Deep sensor diagnostics & launch readiness
Detailed readouts for GPS, IMU, magnetometer, barometer, optical flow, and LiDAR — with a GO/NO-GO launch readiness verdict computed automatically.
Live motor outputs & quad diagnostics
Real-time PWM values, output percentages, and trend charts for all four motors. Identifies load imbalances and ESC health with a motor test mode.
Automated & manual pre-launch checks
Structured vehicle, navigation, and safety checklists — auto-checked items pull live sensor data, manual items prompt the operator. GO/HOLD verdict in real time.
Controlled T-minus launch countdown
Step-by-step automated pre-launch sequence with T-minus countdown, vehicle handover confirmation, and mission timeline. Full abort at any stage.
Flight recorder with AI fault analysis
Every flight is logged with altitude, roll/pitch, vibration, voltage, and current charts. Run an AI-powered diagnostic to identify anomalies and fault patterns.
Precision drone landing, coming soon.
Airsent is building a smarter way for drones to complete the mission — by landing on purpose, not just arriving nearby.