What crossed the network?
Anchor observed endpoints, timestamps, directions, decoded fields, retries, errors, and transport behavior to exact frames.
Investigate the network-visible path around robot and automation failures, then separate exact packet evidence from controller logic, safety state, and physical outcomes the capture cannot prove.
09:41:18.208frames 4812–4827corroborateA neutral incident record
PacketSafari investigates supplied PCAPs. It is not a robot controller, continuous monitor, safety system, or source of physical truth.
Anchor observed endpoints, timestamps, directions, decoded fields, retries, errors, and transport behavior to exact frames.
Compare the failing window with expected peers and successful traffic, while preserving missing directions and capture gaps.
Give controls, robotics, middleware, network, OEM, and integrator teams one reviewable chronology instead of another blame loop.
Keep local agent logic, shared memory, USB, serial, controller internals, interlocks, mechanics, and physical outcomes explicitly unproven.
Current capability, not roadmap
Current OPC UA analysis is real but bounded. Robotics-specific DDS/RTPS depth, companion-model interpretation, MHS compatibility, and physical attribution are not presented as implemented capabilities.
Detected OPC UA traffic, endpoints, mapped NodeIds, transport and security-policy fields, overflow and semantics-changed flags, coverage, and packet pivots when exposed by the capture.
Not a complete generic service chronology, session reconstruction, request/response pairing, or OPC UA Robotics companion-model interpretation.
Packet-level investigation can use decoder-visible network facts and the surrounding IP, UDP, timing, loss, and infrastructure evidence.
PacketSafari does not currently claim qualified robotics-specific discovery, topic, QoS, sequence, or repair triage. Serialized samples do not establish physical meaning.
A capture may preserve supported HTTP, TLS, OPC UA, or other network exchanges around an agent-driven workflow.
No current MHS compatibility claim. Local stdio, shared memory, USB, serial, device-internal control, and uncaptured hops are outside the packet record.
Network-visible values, status fields, timing, and errors can support a bounded operational hypothesis.
Packet evidence is not a safety certification and cannot by itself prove motion, mechanical cause, safe state, or authorization.
Capture-led investigation
A useful capture is positioned at a decision boundary and paired with a precise operational question. One PCAP rarely sees agent intent, middleware, controller response, safety logic, and motion together.
Write the acceptance question: the stop, missed update, discovery failure, timing symptom, unexpected peer, or disputed command window.
Record topology, capture point, interfaces, clock source, filters, snap length, drops, protocol variants, encryption, and expected traffic.
Capture where trust or ownership changes: agent service, cell network, robot controller, OPC UA client/server boundary, DDS participant network, or remote-access path.
Bring an expected peer or signal mapping and, where possible, a successful comparison run. Treat site semantics as supplied context, not inferred truth.
Verify the packet chronology against controller, robot, safety, application, and operator records before assigning physical cause or authority.
A conclusion another team can review
Each outcome depends on the reported symptom, chosen capture point, protocol visibility, and successful comparison evidence.
The capture contains a reproducible network sequence that explains the observed communication failure.
Loss, timing, discovery, reachability, or protocol behavior plausibly contributed, but another subsystem remains involved.
The relevant exchange completed within the observed boundary, so the next check moves to controller, software, safety, or physical evidence.
The decisive direction, payload, time window, mapping, or capture point is missing, encrypted, unsupported, or outside view.
Network packets can prove an observed exchange at the capture point. They cannot alone prove that an AI agent intended an action, that a mechanism moved, that the movement was safe, or that a physical component caused the incident.
Qualify with the incident you already know
We will confirm protocol fields, capture coverage, workflow fit, and explicit unsupported scope before treating the case as a valid evaluation.