Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience
Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander Terekhov
- 发表年份
- 2018
- 访问权限
- 开放获取
摘要
In line with the sensorimotor contingency theory, we investigate the problem of the perception of space from a fundamental sensorimotor perspective. Despite its pervasive nature in our perception of the world, the origin of the concept of space remains largely mysterious. For example in the context of artificial perception, this issue is usually circumvented by having engineers pre-define the spatial structure of the problem the agent has to face. We here show that the structure of space can be autonomously discovered by a naive agent in the form of sensorimotor regularities, that correspond to so called compensable sensory experiences: these are experiences that can be generated either by the agent or its environment. By detecting such compensable experiences the agent can infer the topological and metric structure of the external space in which its body is moving. We propose a theoretical description of the nature of these regularities and illustrate the approach on a simulated robotic arm equipped with an eye-like sensor, and which interacts with an object. Finally we show how these regularities can be used to build an internal representation of the sensor's external spatial configuration.
关键词
相关论文
如何缓解越野环境中语义分割的分布偏移
Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon 等 5 位作者
2026
基于原型模糊推理与证据融合的不确定性引导工业机器人可进化识别框架
Yanrun Zhou, Zihao Lei, Guangrui Wen 等 7 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于点云配准的非破坏性高分辨率涂层厚度三维扫描测量
Simon Duenser, Ivo Aschwanden, Raamadaas Krishnadas 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026
迈向智能机器人时代:用于高级感知系统的多模态柔性触觉传感器
Sili Ding, Feng Xu, Jie Chen 等 6 位作者
Progress in Materials Science · 2026