Designing Intelligent Robots for Human-Robot Teaming in Urban Search & Rescue
Year: 2012
Type: conference-paper
Abstract: The paper describes ongoing integrated research on designing intelligent robots that can assist humans in making a situation assessment during Urban Search & Rescue (USAR) missions. These robots (rover, microcopter) are deployed during the early phases of an emergency response. The aim is to explore those areas of the disaster hotzone which are too dangerous or too difficult for a human to enter at that point. This requires the robots to be "intelligent" in the sense of being capable of various degrees of autonomy in acting and perceiving in the environment. At the same time, their intelligence needs to go beyond mere task-work. Robots and humans are inter-dependent. Human operators are dependent on these robots to provide information for a situation assessment. And robots are dependent on humans to help them operate (shared control) and perceive (shared assessment) in what are typically highly dynamic, largely unknown environments. Robots and humans need to form a team. The paper describes how various insights from robotics and Artificial Intelligence are combined, to develop new approaches for modeling human robot teaming. These approaches range from new forms of modeling situation awareness (to model distributed acting in dynamic space), human robot interaction (to model communication in teams), flexible planning (to model team coordination and joint action), and cognitive system design (to integrate different forms of functionality in a single system). Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.
Source: HAL
Institutions: German Research Centre for Artificial Intelligence, ETH Zurich, Institute of Robotics and Intelligent Systems, Czech Technical University in Prague, Netherlands Organisation for Applied Scientific Research, BlueBotics (Switzerland), Fraunhofer Institute for Intelligent Analysis and Information Systems, Fraunhofer-Gesellschaft
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4298346392