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相关概念视频

Observational Learning01:12

Observational Learning

231
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...
231
Associative Learning01:27

Associative Learning

462
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
462
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

753
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
753
Purposive Learning01:22

Purposive Learning

161
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
161
Cognitive Learning01:21

Cognitive Learning

447
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
447
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

425
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
425

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相关实验视频

Updated: Jul 27, 2025

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

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空间对象关系的交互式和增量学习来自人类演示.

Rainer Kartmann1, Tamim Asfour1

  • 1High Performance Humanoid Technologies Lab, Institute for Anthropomatics and Robotics, Department of Informatics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

Frontiers in robotics and AI
|June 5, 2023
PubMed
概括

辅助机器人从人类示范中学习空间关系,以操纵物体. 这种方法逐步更新几何模型,使用少数例子进行高效的学习.

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
  • 人与机器人的交互

背景情况:

  • 机器人需要理解空间关系来执行任务.
  • 从人类演示中学习这些概念对于辅助机器人至关重要.

研究的目的:

  • 为空间关系的几何模型开发增量学习方法.
  • 使机器人能够根据口头指令和演示来学习和执行任务.

主要方法:

  • 使用圆柱形概率分布来表示空间关系.
  • 采用模型更新的增量最大概率估计.
  • 从几次在线演示中学习,而无需访问过去的数据.

主要成果:

  • 从单个示范中成功创建空间关系模型.
  • 通过新的演示来证明样本效率的增量更新.
  • 验证了真正的人形机器人的方法.

结论:

  • 拟议的方法使机器人能够有效地学习空间关系.
  • 在复杂的操纵任务中促进人机协作.
  • 提高辅助机器人的理解和执行指令的能力.
关键词:
认知机器人技术是指认知机器人.增量学习是一种增量学习.互动式学习 互动式学习学习空间对象关系的学习语义场景操纵 语义场景操纵

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