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Related Concept Videos

Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Machines01:19

Machines

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
Mechanical Systems01:22

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically described...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

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Related Experiment Video

Updated: Jul 1, 2026

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
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Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery

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Operationalising reproducibility in soft robotics.

David Howard1

  • 1CSIRO Robotics, Brisbane, QLD, Australia.

Frontiers in Robotics and AI
|February 26, 2026
PubMed
Summary
This summary is machine-generated.

Ensuring reproducibility is vital for advancing soft robotics. This perspective outlines three key goals for data sharing, standardized testing, and quantifying embodied intelligence to foster a more reliable and progressive field.

Keywords:
benchmarkingembodied roboticsreplicabilityreproducibilitysoft robotics

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Last Updated: Jul 1, 2026

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Area of Science:

  • Robotics
  • Materials Science
  • Computer Science

Background:

  • Reproducibility is a significant challenge hindering the development and maturation of soft robotics.
  • Establishing reproducible methods is crucial for scientific rigor and field advancement.

Purpose of the Study:

  • To define reproducibility in the context of soft robotics.
  • To propose actionable strategies and "moonshot" goals for enhancing reproducibility in the field.
  • To outline a path towards a more reliable and progressive future for soft robotics research.

Main Methods:

  • Literature review and synthesis of existing reproducibility frameworks.
  • Analysis of current testing and data-sharing practices in soft robotics.
  • Exploration of interdisciplinary testing methodologies from other scientific fields.
  • Identification of needs for quantitative comparison of embodied intelligence.

Main Results:

  • Defined reproducibility and its critical importance for soft robotics.
  • Proposed three "moonshot" goals: improved data sharing and testing methods, adoption of interdisciplinary testing procedures, and development of quantitative metrics for embodied intelligence.
  • Highlighted the necessity of these advancements for the field's future development.

Conclusions:

  • Achieving these goals will significantly enhance the reliability and progress of soft robotics.
  • Standardized data sharing, robust testing protocols, and quantitative evaluation of embodied intelligence are key to a reproducible future.
  • The proposed framework provides a roadmap for the maturation of the soft robotics field.