Active Situation Reporting: Definition and Analysis

@inproceedings{Renoux2017ActiveSR,
  title={Active Situation Reporting: Definition and Analysis},
  author={Jennifer Renoux},
  booktitle={EUMAS/AT},
  year={2017}
}
In a lot of situations a human is incapable to observe their environment properly. This can be due to disabilities, extreme conditions or simply a complex and changing environment. In those cases, help from an artificial system can be beneficial. This system, equipped with appropriate sensors, would be capable of perceiving things that a human cannot and inform them about the current state of the situation. In this short position paper, we introduce the notion of Active Situation Reporting, in… Expand
1 Citations
A Unified Decision-Theoretic Model for Information Gathering and Communication Planning
TLDR
This work proposes an extension of the POMDP-IR model that allows an agent to proactively plan its communication actions by using an approximation of the human’s beliefs, and experimentally demonstrates the capability of the com-POMDPIR agent to limit its communication to relevant information and its robustness to lost messages. Expand

References

SHOWING 1-10 OF 36 REFERENCES
An implemented theory of mind to improve human-robot shared plans execution
  • S. Devin, R. Alami
  • Computer Science
  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
  • 2016
TLDR
A framework is developed which allows a robot to estimate the other agents mental states not only about the environment but also about the state of goals, plans and actions and to take them into account when executing human-robot shared plans. Expand
A framework for endowing an interactive robot with reasoning capabilities about perspective-taking and belief management
TLDR
A situation assessment reasoner that generates relevant symbolic information from the geometry of the environment with respect to relations between objects and human capabilities and describes here the way the system manages the hypotheses to be able to handle such knowledge in a flexible manner. Expand
Contribution to multiagent planning for active information gathering. (Contribution à la planification multiagent pour la perception active)
TLDR
A new fully decentralized model of multiagent planning for information gathering, called MAPING (Multi-Agent Planning for INformation Gathering), the agents use an extended belief state that contains not only their own beliefs but also approximations of other agents’ beliefs. Expand
An Ontology-Based Symbol Grounding System for Human-Robot Interaction
TLDR
The paper presents an approach to non-trivialize the symbol system using ontologies and allow for HRI via enabling queries about objects properties, their affordances, and their perceptual characteristics as viewed from the robot. Expand
Understanding Epistemic Relevance
Agents require a constant flow, and a high level of processing, of relevant semantic information, in order to interact successfully among themselves and with the environment in which they areExpand
Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering
TLDR
This paper proposes a distributed decision process where a robot maintains a belief matrix representing its beliefs and beliefs about the beliefs of the other robots to access the relevance of their beliefs and the divergence with each other. Expand
Being Transparent about Transparency: A Model for Human-Robot Interaction
  • J. Lyons
  • Computer Science
  • AAAI Spring Symposium: Trust and Autonomous Systems
  • 2013
TLDR
The current paper discusses the concept of human-robot interaction through the lens of a model depicting the key elements of robot-to-human and robot-of-human transparency with potentials design implications for the various transparency domains. Expand
An ontological approach to focusing attention and enhancing machine perception on the Web
TLDR
An ontology of perception, IntellegO, is developed that may be used to more efficiently convert observations into perceptions and is presented as an implementation that iteratively and efficiently processes low level, heterogeneous sensor data into knowledge through use of the perception ontology and domain specific background knowledge. Expand
An Online Competence-Based Concept Drift Detection Algorithm
TLDR
A space-based online case grouping strategy, and a new case group enhanced competence distance (CGCD), to address issues of online drift detection and the results show that the proposed strategy and related algorithms significantly improve the efficiency of the current leading competence-based drift detection algorithm. Expand
An Ontology-based Context-aware System for Smart Homes: E-care@home
TLDR
This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. Expand
...
1
2
3
4
...