Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

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...
Machines: Problem Solving II01:30

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.
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
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:
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Learning realistic lip motions for humanoid face robots.

Science robotics·2026
Same author

The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems.

PLoS computational biology·2025
Same author

Identification of brain-like complex information architectures in embryonic tissue of <i>Xenopus laevis</i> organoids.

Communicative & integrative biology·2025
Same author

Robot metabolism: Toward machines that can grow by consuming other machines.

Science advances·2025
Same author

Evolution of adaptive force chains in reconfigurable granular metamaterials.

Soft matter·2025
Same author

Author Correction: Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models.

Nature materials·2025
Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026
Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026
Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026
Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026
Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026
Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026
関連記事をすべて見る

関連する実験動画

Updated: Jun 6, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

継続的な自己モデリングによるレジリエントな機械.

Josh Bongard1, Victor Zykov, Hod Lipson

  • 1Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA. josh.bongard@uvm.edu

Science (New York, N.Y.)
|November 18, 2006
PubMed
まとめ
この要約は機械生成です。

この研究は,自律的に自己モデルを継続的に更新することによって,損傷から自律的に回復するロボットを提示しています. この自己モデリングアプローチにより,機械は移動と歩みを適応させ,動物の回復力を模倣することができます.

さらに関連する動画

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

関連する実験動画

Last Updated: Jun 6, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

科学分野:

  • ロボット工学 ロボット工学 ロボット工学
  • バイオミミクリーは,
  • 人工知能 (AI) とは,人工知能 (AI) のことです.

背景:

  • エンジニアリングされたシステムは,補償行動を示す動物とは異なり,損傷後にしばしば失敗します.
  • 生物学的システムと同様の強度を持つ機械を開発することは大きな課題です.

研究 の 目的:

  • 継続的な自己モデリングを通じて,物理的な損傷から自律的に回復できるロボットについて説明します.
  • 自己モデリングが,足を持つロボットにおける適応的運動をどのように可能にするかを調査する.

主な方法:

  • 4本足のロボットは,アクチュエーション-センセーション関係を用いて構造を推論する.
  • ロボットは,その推論された自己モデルに基づいて,前方に移動する動きを生成します.
  • システムは,物理的な損傷 (例えば,足の除去) が起こると,自己モデルと移動戦略を適応させます.

主要な成果:

  • ロボットは,自己モデルを使用して,前進運動を成功裏に生成しました.
  • 足が取り外されると,ロボットは自体のモデルを改造した.
  • 適応した自己モデルにより,代替的な歩行が生まれ,損傷からの回復が実証されました.

結論:

  • 継続的な自己モデリングにより,ロボットは予期せぬ構造変化から自律的に回復することができます.
  • このアプローチは,より堅牢なエンジニアリングシステムを開発するための道筋を提供します.
  • この発見は,動物の移動と適応における自己モデリングのメカニズムについての洞察を提供することができる.