Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

103
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
103
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

881
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...
881
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.8K
Machines: Problem Solving II01:30

Machines: Problem Solving II

377
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
377
Machines: Problem Solving I01:22

Machines: Problem Solving I

414
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
414
Two-Compartment Open Model: IV Bolus Administration01:18

Two-Compartment Open Model: IV Bolus Administration

717
The two-compartment model for intravenous (IV) bolus administration illustrates drug distribution in the body, subdividing it into central and peripheral compartments. This model operates on the concept of two-compartment kinetics. The drug's plasma concentration shows a bi-exponential decline following IV bolus administration, signaling the presence of two disposition processes: distribution and elimination.
The disparity between drug input and the sum of drug transfer rates between...
717

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effective Conservation Decisions Require Models Designed for Purpose: A Case Study of Boreal Caribou in Ontario's Ring of Fire.

Ecology and evolution·2026
Same author

Programmable somatosensory soft robots.

Npj flexible electronics·2026
Same author

A detachable crawling robotic hand.

Nature communications·2026
Same author

Time-Dependent Changes in Salivary Antioxidants After 5-ALA Photodynamic Therapy vs. Clobetasol in Oral Lichen Planus: A Randomized Clinical Trial.

International journal of molecular sciences·2025
Same author

Barrier Products for Topical Delivery-Insight into Efficacy Testing and Barrier-Boosting Compounds.

Pharmaceutics·2025
Same author

Photodynamic Therapy with 5-Aminolevulinic Acid Versus Topical Corticosteroids in the Treatment of Oral Lichen Planus: A Randomized Clinical Trial with Lesion Site-Specific Analysis.

Pharmaceutics·2025

Related Experiment Video

Updated: Sep 18, 2025

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System
08:02

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System

Published on: October 4, 2024

2.6K

Robotic optimization of powdered beverages leveraging computer vision and Bayesian optimization.

Emilia Szymańska1,2, Josie Hughes2

  • 1Department of Mechanical and Process Engineering (D-MAVT), Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.

Frontiers in Robotics and AI
|June 24, 2025
PubMed
Summary

Robotic automation enhances food product development by improving precision and efficiency. This study uses a robot with Bayesian optimization and image analysis for optimizing cappuccino foam quality.

Keywords:
Bayesian optimizationcomputer visionfood analysisfood optimizationrobotics

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K

Related Experiment Videos

Last Updated: Sep 18, 2025

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System
08:02

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System

Published on: October 4, 2024

2.6K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K

Area of Science:

  • Food Science and Technology
  • Robotics and Automation
  • Quality Control Systems

Background:

  • Increasing demand for innovation in the food industry necessitates advanced research methodologies.
  • Robots offer enhanced precision, repeatability, and efficiency in food manufacturing and evaluation.
  • Current automation in food product development often lacks advanced optimization and closed-loop quality control.

Purpose of the Study:

  • To introduce a robotic system for advanced automation in food product development.
  • To extend automation to include optimization and closed-loop quality control.
  • To demonstrate the system's effectiveness using powdered cappuccino preparation as a case study.

Main Methods:

  • Development of a robotic system integrating Bayesian Optimization and image analysis.
  • Utilizing computer vision for a closed-loop feedback mechanism to mimic human-like corrections.
  • Exploration of the parameter space to identify optimal conditions for high foam quality.

Main Results:

  • The robotic system achieved high repeatability in powdered cappuccino preparation.
  • Extensive exploration of system parameters was enabled by the automated approach.
  • Identification of ideal conditions for producing high-quality cappuccino foam.

Conclusions:

  • Robotic automation is effective for optimizing food product development processes.
  • The developed system demonstrates potential for advanced and reliable food product innovation.
  • Integration of Bayesian Optimization and computer vision enhances quality control in food manufacturing.