Drones & UAVs

Ship reliable drones, at any scale.

Roboto analyzes the multimodal data behind every flight, so you know how each drone behaved, why it failed, and what to fix.

Book a demo See the platform
Roboto visualizer showing a PX4 drone flight: vehicle global position on a map next to time-synced console logs and topic list
Trusted by BRINC LogoPerformance Drone Works LogoCleo Robotics Logo
The stakes

Rare failure modes become routine at fleet scale.

Find them in your data before you hear from a customer, regulator, or video on social media.

Today You manually scrub timelines one flight at a time.
With Roboto Start with the answer, not a timeline.
Today You review flights ad-hoc.
With Roboto Roboto triages every flight on upload.
Today You run hours of manual QA on every drone off the line.
With Roboto Every drone clears the same automated checks in minutes.
Today You spot a motor anomaly but can't tell where else it's hiding.
With Roboto You see the same failure across every drone in the fleet.
Platform

From raw flight data to root cause, automatically.

AI Summary

A PX4-based drone operated in Lingfield, England, starting at 2025-08-21T10:35:48Z. The flight lasted approximately 132 seconds, with the vehicle experiencing significant sensor and estimation challenges. The drone was equipped with a CubePilot CubeOrange flight controller running PX4 firmware.

Key Events

  • High Vibration Levels : Mean vibration of 16.58 m/s², max of 40.42 m/s², indicating potential stability and sensor accuracy issues.
  • GPS Jamming : GPS jamming indicator elevated, with mean of 52.19 (threshold is 40), suggesting potential signal interference.
  • GPS Position Accuracy Issues : Horizontal position accuracy exceeded recommended threshold, with a mean of 3.46 meters.
  • Estimator Faults : Bad vertical accelerometer data detected across multiple estimator instances, potentially affecting estimation accuracy.
Did anything odd happen in this drone flight?
I'll analyze this drone flight to identify any anomalous events. Let me start by gathering information about the file and its events.

Yes, several critical anomalies occurred during this drone flight. Here's a summary of the key issues:

Critical Issues
Estimator Filter Fault(@ ~2024-12-23 17:31:43 UTC)
  • The primary EKF changed due to filter fault - this is a serious navigation issue
  • Bad vertical accelerometer data detected for ~65 seconds across all three estimator instances
  • This compromised the drone's ability to accurately determine its position and attitude
Blind Land Failsafe Triggered(@ ~2024-12-23 17:32:44 UTC)
  • Failsafe activated: blind land mode
  • The system detected invalid setpoints and had to switch to emergency landing
  • The drone likely stopped working at this time (2024-12-23 17:32:44 UTC) due to this failsafe activation
Critically High Vibration Levels
  • Mean vibration: 29.15 m/s², max: 79.08 m/s² (critically high above 9.81 m/s²)
  • Extensive sensor clipping on all axes (accelerometers and gyroscopes)
  • This severe vibration likely contributed to the estimator faults
GPS Issues
  • Elevated GPS jamming (mean: 52, max: 60 - should be below 40)
  • Poor horizontal accuracy (should be <1m)
  • GPS reboot due to undervoltage detected
Say something to Roboto's AI assistant…

AI agents that understand drone data.

Triage, root-cause, summarize, and answer questions, backed by evidence from your own flight logs.

6 matches · motor.vibration
score

From one flight to the whole fleet.

Investigate one flight in detail, or aggregate metrics and faults across every drone, software version, and release.

BRINC Logo
Without Roboto, QA becomes very labor-intensive. It might take hours per device to verify everything. With Roboto, it takes a couple of minutes and it just runs in the background when the drone’s done flying.
Walker Robb
Walker Robb
VP of Engineering, BRINC
Multimodal playback, time-synced in Roboto

Multimodal playback, time-synced.

Synchronize video, flight telemetry, and system logs into one unified view with key events highlighted.

flight_17 flight_06 flight_14 flight_02 flight_10 flight_08 flight_16 flight_04 flight_13 flight_24 flight_42 flight_26 flight_15 flight_31 flight_07 flight_19 flight_03 flight_11 flight_22 flight_09 flight_36 flight_18 flight_28 flight_44 flight_12 flight_05 flight_33 flight_21 flight_01 train nominal_flights 512 clips val hard_landings 148 clips train gps_denied 207 clips train wind_gusts 96 clips Export to PyTorch Hugging Face S3

Every flight becomes training data.

Slice flights into episodes, group them into Collections, and export to training formats.

PX4 .ulg ArduPilot .bin ROS .bag MCAP .mcap Video .mp4 Custom .bin

Read every drone log format.

Ingest your logs in PX4 ULog, ArduPilot, ROS, MCAP, or your own custom format and get back indexed datasets ready for querying, all through a single Python SDK.

Explore the platform
BRINC Logo
With Roboto, we can preemptively find complex hardware and software issues across our fleet before they become a problem for our customers.
Jon Hoff
Jon Hoff
Autonomy Engineer, BRINC
Customer highlight

How BRINC cut root-cause diagnosis from days to minutes.

BRINC builds public safety drones used by 700+ agencies. With Roboto, their team preemptively finds hardware and software issues across the fleet before they reach a customer, and runs automated QA on every drone that comes off the line.

90%
Faster root-cause analysis
<10 min
Automated QA per drone
Book a demo Read the BRINC story
How it works

One workflow, first flight to full fleet.

01

Ingest flights and recordings

Upload or connect drone logs from test flights, validation runs, or fleet operations.

02

Organize by context

Tag by airframe, software version, hardware revision, payload, mission type, or failure mode.

03

Automate the analysis

Run Actions for custom post-processing, QA checks, anomaly detection, and event generation.

04

Search similar failures

Find related events across flights, airframes, software versions, and missions.

05

Review the exact slice

Open the event timeline, plots, video, console logs, and topic data in one place.

06

Share the evidence

Send a link or export a targeted slice for engineering, ops, QA, or a customer.

Applications

Any drone. Any mission. Any format.

Turn every flight log into answers your team can act on. Bench validation, manufacturing QA, fielded units, all in one place.

First responder drone over a residential street at dusk

First responder & public safety

Catch faults across manufacturing QA, returned units, and fleet-wide incident triage.

Delivery drone carrying a package above a driveway

Package delivery

Root-cause a dropped package, missed waypoint, or precautionary landing.

Fixed-wing defense drone in flight over desert terrain

Defense & ISR

Trace mission-affecting faults across airframes and software builds, self-hosted in your own environment.

Agricultural drone spraying a crop field

Agriculture

Spot drift in spray pattern, altitude hold, or coverage across thousands of field hours.

Deployment & governance

Built for the programs that can't compromise.

Defense, public safety, and regulated delivery operators answer to people who don't accept "trust us." Roboto deploys in your own AWS, with SSO, scoped access, and a full audit trail.

Get a deployment walkthrough

Your data, your storage

Bring your own S3 bucket and choose the region it lives in.

SSO

Connect your identity provider via SAML or OIDC to provision and deprovision users.

Role-based access

Scope access by users, teams, datasets, and Actions.

Cloud or self-hosted

Run on Roboto's cloud or self-hosted in your own AWS.

Audit logs and retention

A full audit trail, with retention windows you configure to match your policy.

Repeatable, regulator-ready analysis

Version-controlled Actions with an audit trail ready for FAA Part 108 reviews.

Available on the Enterprise tier.

In their words

The teams building the next generation of drones use Roboto.

A single RMA can be hundreds of dollars in shipping, parts, and labor costs, so each one Roboto prevents directly saves us real money and keeps our customers operational.
Walker Robb
Walker Robb
VP of Engineering, BRINC
BRINC Logo

Drone Resources

All posts →
Customers

How BRINC cut root-cause diagnosis from days to minutes with Roboto

Apr 18, 2026 Read the case study
Industry

10 Insights from 120,000+ PX4 Drone Logs Collected in 2024

Mar 10, 2025 Read the analysis
Product

Accelerating Drone Flight Analysis with AI Summaries

Aug 28, 2025 Read the post

Stop reacting to failures. Start preventing them.

Analyze every log. Surface failures. Start with your next upload.

Get started for freeBook a demo
FAQ

Common questions from drone engineering teams.

Any drone that produces multimodal sensor data: public safety and first responder, package delivery, defense and ISR, infrastructure inspection, mapping and surveying, and agriculture. Multirotor, fixed-wing, VTOL, and custom airframes.

Roboto natively reads PX4 ULog, ArduPilot (bin, log, tlog), ROS bags, MCAP, Parquet, CSV, JSON, Linux Journal, video (MP4, MKV, AVI), and custom binary formats. Add a new format in a few lines of Python and the rest of the platform inherits it.

Yes. Ingest flights from every airframe and every software build, then query and aggregate across all of them. Roboto pre-computes per-topic statistics on ingest, so you can ask things like "find every flight where vibration exceeded 11 m/s²" and get an answer in seconds.

Yes. The Enterprise tier runs self-hosted in your own AWS account, with bring-your-own-bucket storage, custom data regions, role-based access scoped by user or team, and SSO via SAML or OIDC. Same product, same APIs, your security boundary.

Visualizers show you one flight at a time. Roboto analyzes every flight, flags the issues that matter, and lets you query patterns across every airframe and software release. You start with the answer, not a timeline.

Most drone manufacturers are uploading flights and running queries within a couple of hours. Run pip install roboto, connect your S3 bucket or use Roboto-managed storage, and start ingesting. No infrastructure to stand up.

Yes. Roboto can push alerts to Slack when Actions or agents flag issues, and the Triage Agent posts root-cause analysis back to Jira tickets with auto-applied labels like "Roboto:rtl_triggered". Configurable per team.

Yes. Slice long recordings into episodes, group them into Collections, and export to LeRobot, Hugging Face, Amazon SageMaker, PyTorch, or back to your own S3 bucket. The same data that proves a drone is reliable becomes the foundation for your learned policies.