Now live Agent Week · July 21–23

AI agents built for
robotics data.

Stop replaying logs one at a time. Roboto Agents flag events, triage failures, and automate analysis across your whole fleet.

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Day 01 / Agents

Agents that understand robotics data.

Turn every robot run into answers. Roboto Agents automate the triage, investigation and data curation tasks that used to cost you hours.

Tools signals · video · code Skills runbooks & know-how Context robot · mission · code Data model every format, queryable
flight_0349.ulg px4-roboto#101 Open [Triage] Severe IMU clipping → EKF fault Roboto::high_vibration Roboto::ekf_estimator_failure +1 Triage Agent
Day 02 / Triage

Triage every log automatically.

Roboto Agents analyze every log the moment it arrives and open a labeled, evidence-backed issue in Linear, GitLab, or Jira.

Day 02 / Triage

Ask one run, or ten thousand, anything.

AI Chat analyzes your multimodal data, plots key signals, inspects video and highlights the moments that matter.

vehicle_gps_position 3d_scene altitude_msl_m console_logs + - 141 80 27 Time message 01:31:26.8 [mc_pos_ctl] arm 01:31:26.9 Failsafe activated 01:31:35.1 [timesync] offset 01:31:43.8 [ekf2] primary reset 01:32:40.8 [gps] ubx nav 01:32:41.8 [gps] ubx sat 01:32:44.5 [mc_pos_ctl] land What went wrong on this flight? Used get_events Used plot_altitude Used search_logs Several critical anomalies occurred during this flight: Estimator Filter Fault Primary EKF filter fault Bad vertical accel ~65s Blind Land Failsafe Failsafe: blind land mode Emergency landing
Day 03 / Close the loop

Trace a robot failure into the code that caused it.

Roboto Agents test hypotheses against your data, follow the evidence into your repo through MCP, and come back with a cause and a fix to review.

MAGNETOMETER · Z flight_0349 14:32 · anomaly ekf2_params.cpp +1−1 est-config · main 41 42 + 44 45
grasp_17 grasp_06 grasp_14 grasp_02 grasp_10 grasp_08 grasp_16 grasp_04 grasp_13 grasp_24 grasp_42 grasp_26 grasp_15 grasp_31 grasp_07 grasp_19 grasp_03 grasp_11 grasp_22 grasp_09 grasp_36 grasp_18 grasp_28 grasp_44 grasp_12 grasp_05 grasp_33 grasp_21 grasp_01 trainsuccessful_grasps512 clips valfailed_grasps148 clips traincluttered_scenes207 clips trainnovel_objects96 clips Export to PyTorch Hugging Face S3
Day 03 / Close the loop

Describe a moment, and Agents find every example.

Roboto Agents search your time-series, video, and logs for the moments you describe, then gather every match into a Collection to review, share, or train on.