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Human-Robot Collaboration: From Psychology to Social Robotics
[article]
2017
arXiv
pre-print
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Additionally, we study the advances made by the robotic community into the direction of embodied HRC. We focus on the mechanisms that are required for active, physical human-robot collaboration. ...
We believe that this is caused by the lack of a reliable representation of the human and the environment to allow autonomous decision making. ...
Affordances and imitation learning. A robot can acquire a mapping from its own pose to the human body by randomly performing actions and being imitated by a human. ...
arXiv:1705.10146v1
fatcat:skqfe6uxefhtvcd7lmzl7hyzvy
Exploration Behaviors, Body Representations, and Simulation Processes for the Development of Cognition in Artificial Agents
2016
Frontiers in Robotics and AI
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Sensorimotor control and learning are fundamental prerequisites for cognitive development in humans and animals. ...
Therefore, the capability to re-enact sensorimotor experience might represent a key mechanism behind the implementation of higher cognitive capabilities, such as behavior recognition, arbitration and imitation ...
A greedy goal-directed exploration strategy has been adopted, instead, by Berthold and Hafner (2015) , who presented an approach for online learning of a controller for a low-dimensional spherical robot ...
doi:10.3389/frobt.2016.00039
fatcat:fd4dirm75feprjg3penleqrv5a
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy
2021
Applied Sciences
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Combining both goal-babbling with imitation learning, and active learning with transfer of knowledge based on intrinsic motivation, our algorithm self-organises its learning process. ...
Task decomposition is also efficiently transferred across different embodied learners and by active imitation, where the robot requests just a small amount of demonstrations and the adequate type of information ...
du Finistère) and by Institut Mines Télécom, received in the framework of the VITAAL project. ...
doi:10.3390/app11030975
fatcat:4inw4fj5ajgnzf3nm6x5aghhvu
Social Cognition for Human-Robot Symbiosis—Challenges and Building Blocks
2018
Frontiers in Neurorobotics
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This is the prerequisite for learning by imitation and for effective cooperation. ...
A SHARED MEMORY SYSTEM FOR INCREMENTAL SYMBIOTIC DEVELOPMENT A shared memory system is a fundamental building block of social cognition if we look at human-robot symbiosis on a wider and longer time horizon ...
Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest ...
doi:10.3389/fnbot.2018.00034
pmid:30050425
pmcid:PMC6051162
fatcat:3fgxxwfzn5e4fiy6tnx2a5vlf4
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments
[article]
2024
arXiv
pre-print
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Our comprehensive evaluation demonstrates DeepIPC's superior performance in terms of drivability and multi-task efficiency across diverse real-world scenarios, setting a new benchmark for end-to-end autonomous ...
driving systems with a leaner model architecture. ...
[41] demonstrates the use case of imitation learning for cognitive map building used for navigating a mobile robot. Then, Hoshino et al. ...
arXiv:2207.09934v6
fatcat:6q5s5ftp6jc53esyqwpwdwhvju
Perception: Insights from the sensori-motor approach
2010
2010 2nd European Workshop on Visual Information Processing (EUVIP)
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Based on psychological assumptions, we propose to explore the concept of perception, infer formalization in the dynamical system framework and quantitatively analyze it on robotic platforms using a unique ...
A wide variety of visual recognition systems are developed for precise tasks and types of objects. In this paper we would like to emphasize ways to build a more generic recognition system. ...
The system builds its own metrics based on the parallax and the recognition of the landmarks. ...
doi:10.1109/euvip.2010.5699148
dblp:conf/euvip/HafemeisterGMBG10
fatcat:a3bz5ve3onbtngdorpzf5daldy
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs
[article]
2024
arXiv
pre-print
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2023 pre-print arXiv:2308.04586v14 fatcat:obuy2vifunfm3k5blue7ow6o5mOther Versions
The AIs start with innate competences and learn more by interacting with the world including people. ...
Generative AIs are helpful on average, but they can make strange mistakes and not notice them. Not learning from their experience in the world, they can lack common sense and social alignment. ...
Thank you to Kai Goebel, director of the Intelligent Systems Laboratory, for his support as we developed many of these ideas over several months. ...
arXiv:2308.04586v21
fatcat:slxrsmxl75e6pn7zqnuvubbtty
A posture sequence learning system for an anthropomorphic robotic hand
2004
Robotics and Autonomous Systems
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These are the need to define a metric of imitation performance and the need to determine a representation common to visual and motor systems. ...
Studies of imitation in biological systems stressed a number of key issues that are, also, of concerns to Robotics. ...
Acknowledgments Support for all authors was provided by ATR Computational Neuroscience Laboratories, Department of Humanoid Robotics and Computational Neuroscience, and the Communications Research Laboratory ...
doi:10.1016/j.robot.2004.03.008
fatcat:fefnr5l7gnhnhaca5nw52f3kru
Developmental robotics: a survey
2003
Connection science
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Developmental robotics is an emerging field located at the intersection of robotics, cognitive science and developmental sciences. ...
systems by exploiting insights gained from studies on ontogenetic development. ...
Acknowledgements Max Lungarella was supported by the Special Co-ordination Fund for Promoting Science and Technology from the Ministry of Education, Culture, Sports, Science and Technology of the Japanese ...
doi:10.1080/09540090310001655110
fatcat:u657nlgehzbtlazek5pcfydxf4
A review of case-based reasoning in cognition–action continuum: a step toward bridging symbolic and non-symbolic artificial intelligence
2013
Knowledge engineering review (Print)
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that call for non-symbolic representations such as navigation, real time strategy games, robot soccer, and actuator movement. ...
This paper has a special focus on how CBR is applied at the lower levels of cognition-action continuum, and through a review of the current state of the art, argues that CBR is a generic mechanism that ...
Imitation in psychology, neuroscience and AI Learning by imitation is a multi-disciplinary field of research. ...
doi:10.1017/s0269888913000076
fatcat:nvbup6edpfch7fg7cpspjk6l5u
Neurorobots as a Means Toward Neuroethology and Explainable AI
2020
Frontiers in Neurorobotics
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Moreover, a neuroroboticist has total control over the network, and by analyzing different neural groups or studying the effect of network perturbations (e.g., simulated lesions), they may be able to explain ...
In this paper, we review neurorobot experiments by focusing on how the robot's behavior leads to a qualitative and quantitative explanation of neural activity, and vice versa, that is, how neural activity ...
AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication. ...
doi:10.3389/fnbot.2020.570308
pmid:33192435
pmcid:PMC7604467
fatcat:37v42xxymbfuznceh4gofmuawy
Goal emulation and planning in perceptual space using learned affordances
2011
Robotics and Autonomous Systems
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In the first step of learning, the robot discovers commonalities in its action-effect experiences by discovering effect categories. ...
Once the effect categories are discovered, in the second step, affordance predictors for each behavior are obtained by learning the mapping from the object features to the effect categories. ...
This research was supported in part by Global COE Program ''Center of Human-Friendly Robotics Based on Cognitive Neuroscience'' of the Ministry of Education, Culture, Sports, Science and Technology, Japan ...
doi:10.1016/j.robot.2011.04.005
fatcat:vacupldxgbdwhe3phfx5tqbhyq
Table of Contents
2021
IEEE Robotics and Automation Letters
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Bianchi, and A. Bicchi 1785 Robots Asking for Favors: The Effects of Directness and Familiarity on Persuasive HRI . . . . S. Saunderson and G. ...
Poorten 2106 Flying With Damaged Wings: The Effect on Flight Capacity and Bio-Inspired Coping Strategies of a Flapping Wing Robot .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lra.2021.3072707
fatcat:qyphyzqxfrgg7dxdol4qamrdqu
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2303.09824v2 fatcat:l5n6htyernamtiyj6wxhvnpzsiOther Versions
The side-by-side comparison presented in this survey not only helps to gain insights into the strengths and limitations of the reviewed methods but also assists with system-level design choices. ...
precise computation of control commands or trajectories by planning methods remains a prerequisite for IVs. ...
The approach consists of a high-level layer and a low-level planning layer, the high-level layer leverages a kernel-based least-squares policy iteration algorithm with uneven sampling and pooling strategy ...
arXiv:2303.09824v3
fatcat:b4vxptk47fh2laqvhebqxmmkze
2021 Index IEEE Robotics and Automation Letters Vol. 6
2021
IEEE Robotics and Automation Letters
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, LRA April 2021 3655-3662 A Framework for Autonomous Impedance Regulation of Robots Based on Imitation Learning and Optimal Control. ...
doi:10.1109/lra.2021.3119726
fatcat:lsnerdofvveqhlv7xx7gati2xu
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