【龙宾大讲坛】认知与发展机器人：从“小”开始的重要性

会议简介

This talk introduces the concept of Cognitive Robotics, i.e. the field that combines insights and methods from AI, as well as cognitive and biological sciences, to robotics (cf. Cangelosi & Asada 2022 for book open access). This is a highly interdisciplinary approach that sees AI computer scientists and roboticists collaborating closely with psychologists and neuroscientists. In particular, we will focus on Cognitive Developmental Robotics, which models the incremental learning and developmental acquisition of cognitive and sensorimotor skills in robots. We will use the case study of language learning to demonstrate this highly interdisciplinary field, presenting developmental psychology studies on children’s language acquisition and robots’ experiment on language learning. One study focuses on the embodiment biases in early word acquisition and grammar learning. The same developmental robotics method is used for experiments on pointing gestures and finger counting to allow robots to learn abstract concepts such as numbers. We will then present novel developmental robotics models, and human-robot interaction experiments, on Theory of Mind and its relationship to trust. This considers both people’s Theory of Mind of robots’ capabilities, and robot’s own ‘Artificial Theory of Mind’ of people’s intention. Results show that trust and collaboration is enhanced when we can understand the intention of the other agents and when robots can explain to people their decision making strategies. The implications for the use of such cognitive robotics approaches for embodied cognition in AI and cognitive sciences will be discussed. Moreover, the talk will discuss the approach of “starting small” (Elman 1993), and its repercussions for the current limitations of foundation models and LLMs/VLAs as cognitive models for language learning and understanding in AI and robots.

会议议程

参会须知

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