Situation awareness

About: Situation awareness is a research topic. Over the lifetime, 7380 publications have been published within this topic receiving 108695 citations. The topic is also known as: SA & situational awareness.

Human vs. Algorithmic Path Planning for Search and Rescue by Robot Teams

Abstract: Substantial automation will be needed to allow operators to control the large teams of robots envisioned for search and rescue, perimeter patrol, and a wide variety of military tasks. Both analysis and research point to navigation and path planning as prime candidates for automation. When operators are isolated from robot navigation, however, there may be loss of situation awareness (SA) and difficulties in monitoring robots for failures or abnormal behavior. Operator's navigational strategies are quite complex and extremely changeable at foraging tasks in unknown environment reflecting background knowledge and expectations about human and natural environments. These considerations are missing from automated path planning algorithms leading to differences in search patterns and exploration biases between human and automatically generated paths. Effectively integrating automated path planning into multirobot systems would require demonstrating that: 1-automated path planning performs as well as humans on measures such as area coverage and 2- use of automated path planning does not degrade performance of related human tasks such as finding and marking victims. In this paper we seek to compare the divergence between human manual control and autonomous path planning at an urban search and rescue (USAR) task using fractal analysis to characterize the paths generated by the two methods. Area coverage and human contributions to mixed-initiative planning are compared with fully automated path planning. Finally, the impact of automated planning on related victim identification and marking tasks is compared for automated paths and paths generated by previous participants.

Come See This! Augmented Reality to Enable Human-Robot Cooperative Search

Abstract: Ahstract-Robots operating alongside humans in field environments have the potential to greatly increase the situational awareness of their human teammates. A significant challenge, however, is the efficient conveyance of what the robot perceives to the human in order to achieve improved situational awareness. We believe augmented reality (AR), which allows a human to simultaneously perceive the real world and digital information situated virtually in the real world, has the potential to address this issue. Motivated by the emerging prevalence of practical human-wearable AR devices, we present a system that enables a robot to perform cooperative search with a human teammate, where the robot can both share search results and assist the human teammate in navigation to the search target. We demonstrate this ability in a search task in an uninstrumented environment where the robot identifies and localizes targets and provides navigation direction via AR to bring the human to the correct target.

Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition

Abstract: (2017). Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition. Quality Management Journal: Vol. 24, No. 2, pp. 56-56.

IoT based situational awareness framework for real-time project management

Abstract: Factories of the Future roadmap identifies that the major challenges manufacturing companies face today are the growing complexity of their processes, therefore affecting the overall process of decision making. Thus, it is a very important research area to integrate the evolving technologies in the domain of Internet of Things IoT into the applications used for project management. At the same time, to capture events on the shop-floor and determine the meaning of information about those perceived events would be an important aspect for making decisions in heterogeneous, highly dynamic environments. This research paper aims to provide a framework for efficient project management by reducing the time for decision-making based on IoT technologies. The goal is pursued by dynamically establishing situational awareness on the top of existing manufacturing processes. The proposed framework is validated in real industrial scenario by implementing a platform for efficient project management within the domain of construction industry.