题目：Natural Language Acquisition and Grounding for Embodied Robotic Systems
主讲人：Anthony Cohn教授，Artificial Intelligence Journal前主编, 英国皇家工程院院士
时间：上午9:30 - 10:30
摘要：I will present a cognitively plausible novel framework capable of learning the grounding in visual semantics and the grammar of natural language commands given to a robot in a table top environment. The input to the system consists of video clips of a manually controlled robot arm, paired with natural language commands describing the action. No prior knowledge is assumed about the meaning of words, or the structure of the language, except that there are different classes of words (corresponding to observable actions, spatial relations, and objects and their observable properties). The learning process automatically clusters the continuous perceptual spaces into concepts corresponding to linguistic input. A novel relational graph representation is used to build connections between language and vision. As well as the grounding of language to perception, the system also induces a set of probabilistic grammar rules. The knowledge learned is used to parse new commands involving previously unseen objects.
个人介绍：Anthony Cohn is Professor in the School of Computing, at the University of Leeds, UK. His research interests are in artificial Intelligence, knowledge representation and reasoning, data and sensor fusion, cognitive vision, spatial representation and reasoning, geographical information science, robotics, etc. He was Editor-in-chief of the Artificial Intelligence journal from 2007-2014 and of the AAAI Press from 2004-2014. He has been Chairman/President of the European Association for Artificial Intelligence (EurAI), KR inc, the IJCAI Board of Trustees. He is the recipient of the 2015 IJCAI Donald E Walker Distinguished Service Award which honours senior scientists in AI for contributions and service to the field during their careers, as well as the 2012 AAAI Distinguished Service Award for “extraordinary and sustained service to the artificial intelligence community”. He is a Fellow of the Royal Academy of Engineering, the Alan Turing Institute in the UK, and is also a Fellow of AAAI, AISB, EurAI (Founding Fellow), the BCS, and the IET.