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Software for automated fault diagnosis in robots from ROS 2 recordings and live data.

TR

Harwin Singh Malhi & Philip Degenhardt GbR

Bodenseestraße 302D, 81249 MünchenNew on Amplifa

2Employees (founders)
MünchenLocation

About TrialONE

TrialONE is a product of Harwin Singh Malhi & Philip Degenhardt GbR, a two-person founding team from Munich. The software reads recordings (bags) or the live graph from ROS 2 robots, identifies the moment of the fault, localizes the cause down to file and line level or reports the affected physical component, and returns a reliable diagnosis with measured values. Results are forwarded to Slack, Discord, email, GitHub, or Foxglove; the diagnosis can be handed over to coding agents such as Claude Code, Codex, or Cursor. Every run and every check is recorded as a timeline history per robot, and the next recording verifies whether a repair has held. A local service installs with a single command and runs on Linux, Windows, NVIDIA Jetson, and Raspberry Pi. The GbR is working with pilot-phase customers from robotics, industrial automation, AMR/AGV, and research laboratories.

Site
München
Processes
Fault diagnosis for robots (ROS 2 recordings / live graph), Fault injection / repeatable testing on faulty and repaired software, Fault diagnosis for robots from ROS 2 recordings/live data, Root cause localization down to file/line, Forwarding of faults (Slack, Discord, email, GitHub, Foxglove), Integration with coding agents (Claude Code, Codex, Cursor), Timeline/history of all runs per robot, Pilot setup on customer systems
Materials
ROS 2 Recordings & Live Graph, Coding Agent Integration, Ticket and Messenger Integration
Certificates
Pilot setup on customer systems
Employees
2
Industries
Robotics, Industrial Automation, AMR/AGV, Research Laboratories
  1. 01

    Recording or live graph from the robot (ROS 2)

  2. 02

    Comparison of repeated cycles against a reference

  3. 03

    Diagnosis of the deviation with measured values

  4. 04

    Localization to file/line or physical component

  5. 05

    Forwarding to Slack, Discord, email, GitHub, or Foxglove

  6. 06

    Verification of the repair on the next recording

Software & Interfaces

ROS 2

ROS 2 Recordings & Live Graph

TrialONE reads ros2_control-based stacks and analyzes bags or the live graph in real time.

AGENT

Coding Agent Integration

Diagnoses with evidence and source context are handed over to Claude Code, Codex, or Cursor to prepare changes.

ALERT

Ticket and Messenger Integration

Faults are automatically forwarded as a GitHub issue, Slack or Discord message, or by email to the responsible person.

Location

München

DE

Business address

Industries

RoboticsIndustrial AutomationAMR/AGVResearch Laboratories

Processes & technical limits

ProcessesToleranceMax. partWeightLot sizeMaterials
Fault diagnosis for robots (ROS 2 recordings / live graph)Testing–––––
Fault injection / repeatable testing on faulty and repaired softwareTesting–––––

5 Anlagen & Maschinen

MachineManufacturer / modelQuantityWorking areaYear builtSite
Robot arm (demo data)arm-01––––
Robot arm (SO-101, demo data)so101-lab––––
Autonomous mobile robot (AMR, demo data)amr-04––––
UR5 robot cell (demo data)Universal Robots ur5-cell-b––––
Quadruped robot (Go2, demo data)Unitree go2-lab––––

Additional services

Fault diagnosis for robots from ROS 2 recordings/live dataRoot cause localization down to file/lineForwarding of faults (Slack, Discord, email, GitHub, Foxglove)Integration with coding agents (Claude Code, Codex, Cursor)Timeline/history of all runs per robotPilot setup on customer systems

Principles & Quality

TrialONE indicates when it is uncertain instead of guessing, and every diagnosis states where the measured values come from. Access to the pilot phase is manually reviewed by the founders, and the software runs locally on the robot system.

EvidenceMünchen
Pilot setup on customer systems

History

  1. Started with fault injection on simulated robots; later focus on diagnosing real robot recordings. Prior to the pilot phase, seeking first robotics teams.

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