首页 /研究 /Situation Assessment Through Multi-Modal Sensing Of Dynamic Environments To Support Cognitive Robot Control
LOCOMOTION

Situation Assessment Through Multi-Modal Sensing Of Dynamic Environments To Support Cognitive Robot Control

Atta Badii, Ali Khan, Rajkumar Raval, Hamid Oudi, Ricardo Ayora, Wasiq Khan, Amine Jaidi, Nagarajan Viswanathan

发表年份
2015
引用次数
4

摘要

Awareness of emerging situations in a dynamic operational environment of a robotic assistive device is an essential capability of such a cognitive system, based on its effective and efficient assessment of the prevailing situation. This allows the system to interact with the environment in a sensible (semi)autonomous / pro-active manner without the need for frequent interventions from a supervisor. In this paper, we report a novel generic Situation Assessment Architecture for robotic systems directly assisting humans as developed in the CORBYS project. This paper presents the overall architecture for situation assessment and its application in proof-of-concept Demonstrators as developed and validated within the CORBYS project. These include a robotic human follower and a mobile gait rehabilitation robotic system. We present an overview of the structure and functionality of the Situation Assessment Architecture for robotic systems with results and observations as collected from initial validation on the two CORBYS Demonstrators.

关键词

Situation awarenessSupervisorComputer scienceHuman–computer interactionArchitectureRobotControl (management)Systems engineeringArtificial intelligenceEngineering

相关论文

查看 LOCOMOTION 分类全部论文