PWR-213 · Robotics, BCI & Shared Autonomy

Fine-motor teleoperation

Fine teleoperation is a trainable person-interface-robot task; assistance and autonomy must be declared.

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Revision 7T · Full Tutorial Edition · Release manifest · Methodology · Corrections

One source of teaching truth

Canonical Power learning unit · TLU-PWR-213

With an engineering supervisor, the learner calibrates controls, practises gross then fine positioning, completes a constrained placement and returns safely after a staged link failure.

Canonical Power page
PWR-213 · Fine-motor teleoperation
Full tutorial
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Practical authority
The tutorial teaches the complete method; qualified supervision controls the specified practical parts.
Current treatment
Full supervised tutorial
Research depth
detailed · 4 bound sources
Risk framing
high regulated device or robotics
Capability self-practice
Qualified supervision is required for the practical method
Pathway membership
Retained external route · SP-HUB-004

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Explanation is not permission.

This dossier explains the evidence and its limits. It is not a diagnosis, personal recommendation, assessment, clearance, performance promise or training programme. Actionable teaching appears only when the canonical Power record explicitly authorises it.

Complete bounded explanation

What this power means.

Capability to develop or express fine-motor teleoperation in a declared context without inheriting broader claims.

What the current evidence supports

Fine teleoperation is a trainable person-interface-robot task; assistance and autonomy must be declared.

How to observe or measure it without overclaiming

Accuracy, force error, time, collisions, workload, latency/failure recovery and unaided/assisted conditions versus direct control. This measures the declared configured system and cannot by itself establish broad transfer, unaided ability, safety or legitimacy.

Myth

A robot instantly gives flawless surgical hands

Metric

Accuracy, force error, time, collisions, workload, latency/failure recovery and unaided/assisted conditions versus direct control

Boundary

Report person, device/model/interface, task, assistance, failure state and comparator; the metric is not proof of unaided general capability.

Negative and limiting findings

  • Small controlled studies do not establish patient benefit, daily-life independence or safe performance when guidance or network links fail.
  • No cited evidence supports perfect, universal or consequence-free performance.

Claims this evidence cannot support

  • A robot instantly gives flawless surgical hands
  • The tool or robot's output proves an unaided, universal or permanent human superpower
  • A successful laboratory task proves independent real-world or clinical capability

Individual tutorial · FULL SUPERVISED TUTORIAL

How to learn this Power now.

With an engineering supervisor, the learner calibrates controls, practises gross then fine positioning, completes a constrained placement and returns safely after a staged link failure.

  1. Get readyUse an approved simulator or enclosed inert hardware with qualified supervision.
  2. Learn the method8 concrete steps teach the permitted method from start to finish.
  3. See right and wrong4 comparisons show correct or safer execution beside common wrong or riskier choices.
  4. PractiseThe engineering or clinical team sets repetitions, latency gate, hardware authority and progression. Start in simulation with two gross approaches and one placement; repeat only after error and recovery review.
  5. Check progressConfigured fixture: A teleoperation simulator moves a virtual peg into a wide socket. If approved hardware is used, the peg is foam, the workspace is enclosed and force/speed limits are active. The provider logs “Inspect local and remote sides”, every “Practise gross positioning” result, the “Handle link loss” response and Accuracy, force error, time, collisions, workload, latency/failure recovery and unaided/assisted conditions versus direct control. For each peg attempt, record latency, supervisor prompts, collision or force-limit events, link state and workload; compare fine placement only among trials with the same simulator gain and delay.

Authority boundary: Titan teaches the complete method; a qualified person controls the parts that require supervision, clearance, specialist equipment, load, dose or progression. The method is Power-specific; its actionability follows this treatment.

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Related Powers: PWR-209 · PWR-210 · PWR-211 · PWR-212

Direct evidence register

Sources that support—and limit—the claim.

Citation roles are explicit. A source may support existence or trainability while simultaneously limiting transfer, certainty, generalisation or safety.

  1. Primary empirical supportLimiting / contrary
    Shared control of a medical robot with haptic guidance

    Linfei Xiong; Chin Boon Chng; Chee Kong Chui; Peiwu Yu; Yao Li · 2017 · Primary research

  2. Primary empirical supportLimiting / contrary
    Assistive Robotic Manipulation through Shared Autonomy and a Body-Machine Interface

    Siddarth Jain; Ali Farshchiansadegh; Alexander Broad; Farnaz Abdollahi; Ferdinando Mussa-Ivaldi; Brenna D. Argall · 2015 · Primary research

  3. Limiting / contraryOfficial boundary context
    NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0

    National Institute of Standards and Technology · 2020 · Official authority

  4. Limiting / contraryOfficial boundary context
    Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions

    United States Food and Drug Administration · 2026 · Official authority

Current teaching and evidence boundary

The next gate remains visible.

External confirmation is required before higher-authority use because: a clinical, high-risk or regulated configuration; a supervision or non-attempt boundary; cultural, community-rights or affected-person authority; a restricted safety or legitimacy boundary.

A Power-specific tutorial is available at /tutorials/pwr-213/. It contains a plain-English method, 8 ordered steps, a worked example, right-versus-wrong comparisons, specific mistakes and corrections, practice, measurement, accessibility, stopping rules and evidence. Its supervised mode remains controlling.