Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Hydraulic Jump: Problem Solving01:16

Hydraulic Jump: Problem Solving

55
To analyze a hydraulic jump in a rectangular channel with a flow speed of 6 meters per second, follow these steps:Calculate Effective Upstream Velocity:When the downstream gate closes, a hydraulic jump forms, traveling upstream at 2 meters per second. This wave speed combines with the initial channel flow velocity, creating an effective upstream velocity.Identify Flow Velocities Before and After the Hydraulic Jump:Upstream of the hydraulic jump, the effective flow velocity includes both the...
55
Reinforcement01:23

Reinforcement

186
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
186
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

302
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
302
Observational Learning01:12

Observational Learning

149
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
149
Open and closed-loop control systems01:17

Open and closed-loop control systems

678
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
678
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.7K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Path planning of locust-inspired jumping robots in obstacle-dense environments using curriculum reinforcement learning.

Bioinspiration & biomimetics·2025
Same author

Determination of Self-(In)compatibility and Inter-(In)compatibility Relationships in Citrus Using Manual Pollination, Microscopy, and S-Genotype Analyses.

Journal of visualized experiments : JoVE·2023
Same author

Risk-reducing salpingo-oophorectomy among Chinese women at increased risk of breast and ovarian cancer.

Journal of ovarian research·2023
Same author

The elevated toxicity of the biodegradation product (guanylurea) from metformin and the antagonistic pattern recognition of combined toxicity: Insight from the pharmaceutical risk assessment and the simulated wastewater treatment.

The Science of the total environment·2023
Same author

Portal vein embolization combined with ex vivo liver resection and autotransplantation: A novel treatment strategy for end-stage and metastatic hepatic alveolar echinococcosis.

Hepatobiliary & pancreatic diseases international : HBPD INT·2023
Same author

The prognosis of patients with small cell carcinoma of the cervix: a retrospective study of the SEER database and a Chinese multicentre registry.

The Lancet. Oncology·2023

相关实验视频

Updated: Jun 12, 2025

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.6K

基于深度增强学习的稳定跳跃控制,用于灵感来自虫的机器人.

Qijie Zhou1,2, Gangyang Li1,2, Rui Tang1,2

  • 1Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Biomimetics (Basel, Switzerland)
|September 27, 2024
PubMed
概括

本研究介绍了一种稳定的跳跃控制算法,用于使用深度强化学习的虫灵感机器人. 这种新的方法提高了跳跃的准确性和稳定性,使能耗高效的机动.

关键词:
生物启发的机器人深度强化学习的学习.动态稳定性 动态稳定性

更多相关视频

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata
10:17

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Published on: September 2, 2016

12.2K
Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT
08:04

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT

Published on: April 23, 2020

6.8K

相关实验视频

Last Updated: Jun 12, 2025

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.6K
Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata
10:17

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Published on: September 2, 2016

12.2K
Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT
08:04

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT

Published on: April 23, 2020

6.8K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 生物机械工程 生物机械工程

背景情况:

  • 生物启发的跳跃机器人提供了先进的移动性,但在跳跃时难以保持姿势稳定.
  • 快速的姿势变化大大降低了机器人跳跃运动的准确性和稳定性.

研究的目的:

  • 开发一个稳定的跳跃控制算法,用于使用深度强化学习的虫灵感机器人.
  • 为了提高腿类机器人跳跃运动的稳定性和准确性.

主要方法:

  • 采用了与演员和批评者网络的深度强化学习框架.
  • 该算法将机器人的观测结果直接映射到联合扭矩,并将探索的率术语纳入.
  • 设计了一个带有阶段激励机制的动态奖励功能,以提高稳定性和准确性.

主要成果:

  • 这种以虫为灵感的机器人表现出平滑,非翻转的跳跃,目标距离准确度的误差不到3%.
  • 跳跃机车与步行相同的距离相比,消耗的能量减少了44.6%.
  • 拟议的算法显示了比经典方法更快的融合和更好的性能.

结论:

  • 深度强化学习为稳定和准确的机器人跳跃提供了一种有效的方法.
  • 开发的算法显著提高了跳跃机器人的能效和运动能力.
  • 这项研究为更灵活,更有效的生物灵感机器人铺平了道路,这些机器人能够跨越复杂的地形.