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Teams Are Changing: Are Research and Practice Evolving Fast Enough?

Scott I. Tannenbaum, John E. Mathieu, Eduardo Salas, Debra Cohen
2012 Industrial and Organizational Psychology  
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

Manolis Chiou, Rustam Stolkin, Goda Bieksaite, Nick Hawes, Kimron L. Shapiro, Timothy S. Harrison
2016 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
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

J.W. Crandall, M.A. Goodrich, D.R. Olsen, C.W. Nielsen
2005 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
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]

Timothy Wiley, Ivan Bratko, Claude Sammut
2018 Lecture Notes in Computer Science  
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

Siddharth Reddy, Anca Dragan, Sergey Levine
2018 Robotics: Science and Systems XIV  
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

Jon Timmis, Mark Neal, James Thorniley
2009 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space  
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

Antoine Hiolle, Lola Cañamero, Marina Davila-Ross, Kim A. Bard
2012 ACM transactions on interactive intelligent systems (TiiS)  
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]

Joseph Sifakis
2018 arXiv   pre-print
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]

Harald Rueß
2022 arXiv   pre-print
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

Marc Steinberg, Jason Stack, Terri Paluszkiewicz
2016 Autonomous Robots  
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

Pavol Bezak, Pavol Bozek, Yuri Nikitin
2014 Procedia Engineering  
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

Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith
2020 Autonomous Agents and Multi-Agent Systems  
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]

Matt Luckcuck
2021 arXiv   pre-print
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]

S. Kate Devitt
2018 Foundations of Trusted Autonomy  
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

Francesco Garibaldo, Emilio Rebecchi
2018 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
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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