System anatomy · 06

Embedded sensing and closed-loop control

Connect distributed strain, pressure, touch, temperature and shape estimates to bounded control actions and diagnosable uncertainty.

Evidence statusResearch-frontier evidence framework · stage, material, control and retrieval validation requiredLast reviewed: 16 August 2026
06

FUURAA thesis

A deformable body needs sensing that deforms with it without hiding calibration drift.

Engineering map

Turn the title into engineering objects that can be observed, measured and reviewed.

Each layer states the boundary to establish and the evidence needed for the next decision.

01

Sense

Map sensor placement, cross-sensitivity, bandwidth and blind regions.

02

Estimate

Quantify shape and contact uncertainty under load, temperature and ageing.

03

Control

Define bounded actions when sensing saturates, drifts or disconnects.

Verification questions

Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.

Each question needs an object, conditions, denominator, threshold and accountable decision owner.

  1. 01

    Which states are measured rather than inferred?

  2. 02

    How often must the soft body be recalibrated?

  3. 03

    What confounds contact, curvature and temperature?

  4. 04

    What safe response follows sensor disagreement?

Evidence to preserve

Enable the next reader to reconstruct conditions, results, failures and the decision.

A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.

  1. 01

    Evidence package 1

    Sensor coverage and cross-sensitivity map

  2. 02

    Evidence package 2

    Closed-loop performance across ageing and load

  3. 03

    Evidence package 3

    Sensor-fault injection and degradation log

Scope boundary

State what this evidence still cannot be generalised to.

Sources and evidence status

Read standards scope, measurement evidence and application conclusions separately.

Source dates and review status remain visible; external sources open in a new tab.

01
Wyss Institute / Harvard SEAS · Published 2018-02-28 · verified 2026-08-16

Soft somatosensitive actuators via embedded 3D printing

Demonstrates a printed soft gripper with embedded sensing for pressure, curvature, contact and temperature, illustrating a path toward closed-loop soft actuation.

02
NIST · Published 2024-06 · verified 2026-08-16

Research Opportunities for Advancing Measurement Science for Manufacturing Robotics

Identifies soft-robotics measurement needs across actuation, sensor integration, control, power, fabrication and materials, and calls for comparison with rigid and other alternatives.

03
Tsinghua University · Published 2026-01-29 · verified 2026-08-16

Bio-inspired soft robots for amphibious and pipe inspection

Reports an amphibious turtle robot with multimodal terrain adaptation and a modular worm-like soft pipe robot tested across defined loads, diameters, slopes and gaps.