Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Machines

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 Systems

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...

Mechanical Efficiency of Real Machines

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...

Machines: Problem Solving II

Machines: Problem Solving II

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.

You might also read

Related Articles

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

Sort by

Same author

MR elastography datasets including phantom, liver, and brain.

Scientific data·2025

Same author

Hybrid pneumatic-hydraulic actuation for MRI-guided robotic stereotactic neurointervention.

Science advances·2025

Same author

Submillimeter fiber robots capable of decoupled macro-micro motion for endoluminal manipulation.

Science advances·2024

Same author

Magnetic soft microfiberbots for robotic embolization.

Science robotics·2024

Same author

Fiberbots: Robotic fibers for high-precision minimally invasive surgery.

Science advances·2024

Same author

A deep unrolled neural network for real-time MRI-guided brain intervention.

Nature communications·2023

Search research articles

Related Experiment Video

Updated: Sep 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Robots at the Beijing 2022 Winter Olympics.

Feng Gao¹, Shuo Li², Yue Gao³

¹State Key Laboratory of Mechanical Systems and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang District, Shanghai 200240, China.

Science Robotics

|April 27, 2022

Summary

Robots demonstrated diverse capabilities at the 2022 Winter Olympics, serving, protecting, and enhancing human performance across various life aspects. This highlights the growing integration of robotics in daily activities and specialized events.

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

Related Experiment Videos

Last Updated: Sep 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

Area of Science:

Robotics and Human-Computer Interaction
Automation and Artificial Intelligence

Background:

The 2022 Winter Olympics provided a unique platform to showcase advanced robotic technologies.
Previous applications of robotics were often limited to industrial or research settings.

Purpose of the Study:

To analyze the multifaceted roles of robots during the 2022 Winter Olympics.
To assess the impact of robotic assistance on human activities and performance.

Main Methods:

Observational analysis of robotic deployments during the Winter Olympics.
Case studies of robots in service, security, and performance enhancement roles.

Main Results:

Robots effectively performed tasks such as serving attendees and providing security.
Robotic systems contributed to optimizing athlete training and event operations.

Conclusions:

The 2022 Winter Olympics validated the practical utility and potential of robots in diverse, real-world scenarios.
Robotics integration can significantly improve efficiency, safety, and human capabilities.