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Teams Are Changing: Are Research and Practice Evolving Fast Enough?
2012
Industrial and Organizational Psychology
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For each theme, we share our observations, review the related science and identify future research needs, and specify challenges and recommendations for employing effective team-based practices in applied ...
However, the nature of teams and the environment in which they operate has changed, and as a result, new needs have emerged. ...
In effect, team membership is treated as though it is a static variable. ...
doi:10.1111/j.1754-9434.2011.01396.x
fatcat:htobskpshreifar6vviecgu2km
Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot
2016
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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ACKNOWLEDGMENT This research is supported by the British Ministry of Defence and the UK Defence Science and Technology Laboratory, under their PhD bursary scheme, contract no. DSTLX-1000074621. ...
An alternative approach is one of exploiting machine learning techniques in order to learn patterns of how human operators efficiently change LOA. ...
The HI variable autonomy experiments reported in this paper, have enabled the collection of a variety of measurements that might be used as the training features of such a learning system. ...
doi:10.1109/iros.2016.7759527
dblp:conf/iros/ChiouSBHSH16
fatcat:zoalqc24pzhrrb3hlzgpqvmz4i
Validating Human–Robot Interaction Schemes in Multitasking Environments
2005
IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
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The ability of robots to autonomously perform tasks is increasing. More autonomy in robots means that the human managing the robot may have available free time. ...
We present the notion of neglect tolerance as a means for determining how robot autonomy and interface design determine how free time can be used to support multitasking, in general, and multirobot teams ...
The experiment consisted of a series of training and testing sessions, counterbalanced to mitigate the effects of learning. ...
doi:10.1109/tsmca.2005.850587
fatcat:tuvw7ao4mbejjf6sa7xqbdtmsq
A Machine Learning System for Controlling a Rescue Robot
[chapter]
2018
Lecture Notes in Computer Science
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The system is a hybrid of qualitative symbolic learning and reinforcement learning. ...
If the robot is intended to run autonomously, the control system must have an understanding of how the flippers affect the robot's interaction with the ground. ...
Clingo-4 ASP solver, which are used in our symbolic planner. ...
doi:10.1007/978-3-030-00308-1_9
fatcat:tgow3g4horezjmwzeihe4f4mzy
Shared Autonomy via Deep Reinforcement Learning
2018
Robotics: Science and Systems XIV
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In shared autonomy, user input is combined with semi-autonomous control to achieve a common goal. ...
This paper is a proof of concept that illustrates the potential for deep reinforcement learning to enable flexible and practical assistive systems. ...
In this section, we will describe how the agent combines user input with environmental observations, motivate and describe our choice of deep Q-learning for training the agent, and describe how the agent ...
doi:10.15607/rss.2018.xiv.005
dblp:conf/rss/ReddyDL18
fatcat:pd5wcvxrn5f5tayv7zyjhe54l4
An adaptive neuro-endocrine system for robotic systems
2009
2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space
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This work is another step towards creating a robotic control system that affords "homeostasis" for prolonged autonomy. ...
We have tested our system in real robotic units and demonstrate adaptive behaviour over prolonged periods of time. ...
ACKNOWLEDGEMENTS This research is funded by EOARD, grant number FA-8655-07-3061. ...
doi:10.1109/riiss.2009.4937917
dblp:conf/riiss/TimmisNT09
fatcat:cb22qcwdwzbcnk3junxcoa2fc4
Eliciting caregiving behavior in dyadic human-robot attachment-like interactions
2012
ACM transactions on interactive intelligent systems (TiiS)
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In a second experiment, we tested how human adults behaved in a similar setup with two different robots: one needy, often demanding attention, and one more independent, requesting far less care or assistance ...
In the first setting, we show that such a robotic architecture allows the human caregiver to influence greatly the learning outcomes of the exploration episode, with some similarities to a primary caregiver ...
The views expressed in this paper are those of the authors, and not necessarily those of the consortium. ...
doi:10.1145/2133366.2133369
fatcat:ungdtzgltnbjfhndul23vdpw24
Autonomous Systems -- An Architectural Characterization
[article]
2018
arXiv
pre-print
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The concept of autonomy is key to the IoT vision promising increasing integration of smart services and systems minimizing human intervention. ...
Machine learning is essential for autonomy although it can meet only a small portion of the needs implied by autonomous system design. We conclude that autonomy is a kind of broad intelligence. ...
What is the difference between a thermostat, an automatic train shuttle, a chess-playing robot, a soccer-playing robot and a robocar? ...
arXiv:1811.10277v1
fatcat:htce6c2e75ginkimnv7wazz75q
Systems Challenges for Trustworthy Embodied Systems
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2201.03413v1 fatcat:wykeewanave3jmpnrsclkyzzhq
A new generation of increasingly autonomous and self-learning embodied systems is about to be developed. ...
When deploying embodied systems into a real-life context we face various engineering challenges, as it is crucial to coordinate the behavior of embodied systems in a beneficial manner, ensure their compatibility ...
this way, EI robots have been built that can move, see, speak, and interact with other robots effectively. 15 16 Current approaches to EI also rely on training actors in virtualized playgrounds for accelerated ...
arXiv:2201.03413v2
fatcat:hwprg3zjhvfuro3etecx2t4qua
Long duration autonomy for maritime systems: challenges and opportunities
2016
Autonomous Robots
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Time, frequency, or effort for learning/adaptation-This concerns how much time, effort, or the number of instances are required for the system to learn or adapt to new situations, contexts, or environments ...
For methods that learn and change, they may fail to converge or converge to an undesirable solution if run over a long enough period of time in unstructured and dynamic environments. ...
doi:10.1007/s10514-016-9582-0
fatcat:zr6izqasljf2vmj6hjhxqjxmuq
Advanced Robotic Grasping System Using Deep Learning
2014
Procedia Engineering
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The control is simulated in the Matlab Simulink/ SimMechanics, Neural Network Toolbox and Computer Vision System Toolbox. ...
In this paper, an intelligent hand-object contact model is developed for a coupled system assuming that the object properties are known. ...
The need of having intelligent robots means that the complexity of programming must be greatly reduced, and robot autonomy must become much more natural. ...
doi:10.1016/j.proeng.2014.12.092
fatcat:bf6olsjz2vhdpflfeyplcjlxge
Towards a framework for certification of reliable autonomous systems
2020
Autonomous Agents and Multi-Agent Systems
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AbstractA computational system is called autonomous if it is able to make its own decisions, or take its own actions, without human supervision or control. ...
However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? ...
Thanks to Simone Ancona for the drawings in Sect. 1. ...
doi:10.1007/s10458-020-09487-2
fatcat:gd6urk3nbrcwxkpffdtdpa5xha
Using Formal Methods for Autonomous Systems: Five Recipes for Formal Verification
[article]
2021
arXiv
pre-print
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2021 accepted arXiv:2012.00856v3 fatcat:ng2lpzlq2zgdjmrocywaedlwlaOther Versions
Autonomous systems use software to make decisions without human control, are often embedded in a robotic system, are often safety-critical, and are increasingly being introduced into everyday settings. ...
The recipes are examples of how Formal Methods can be an effective tool for the development and verification of autonomous systems. ...
Levels of Autonomy In addition to how an autonomous system is implemented, there are also various ways of describing how much, or what level, of autonomy a system has. ...
arXiv:2012.00856v2
fatcat:hatdgqwbabbfdbngmjt4q2rroi
Trustworthiness of Autonomous Systems
[chapter]
2018
Foundations of Trusted Autonomy
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Physical characteristics also impact on how much humans move from empathy to revulsion when robots are like humans, but eerily not quite like humans-known as the uncanny valley [66] impacting how much ...
To imagine the impact of increasing autonomy for weapons systems, it is instructive to consider how other industries have rolled out autonomous systems and their impact on human users. ...
doi:10.1007/978-3-319-64816-3_9
fatcat:rumbw6ijfjg7rndglmksemapme
Cyber-physical system
2018
AI & Society: The Journal of Human-Centred Systems and Machine Intelligence
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of cooperative hybrid human-robot work systems will be investigated. ...
What is the target variable, what are the class labels, and how and by whom are they assigned to instances (such as behaviours or people)? ...
doi:10.1007/s00146-018-0802-3
fatcat:jg4qiue75rd6hgafisbmnpbcgy
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