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From learning to new goal generation in a bioinspired robotic setup
2016
Advanced Robotics
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In the field of cognitive bioinspired robotics, we focus on autonomous development, and propose a possible model to explain how humans generate and pursue new goals that are not strictly dictated by survival ...
The Intentional Distributed Robotic Architecture (IDRA) here presented intends to allow the autonomous development of new goals in situated agents starting from some simple hard-coded instincts. ...
Since 1987 she is an associate professor of robotics at Politecnico di Milano. Her research interests are in pattern recognition and modeling, with applications to robotics and intelligent systems. ...
doi:10.1080/01691864.2016.1172732
fatcat:lyd5yyoi4vfrpmp3dqtnp5m3ja
Integration of Speech and Action in Humanoid Robots: iCub Simulation Experiments
2011
IEEE Transactions on Autonomous Mental Development
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This paper proposes a new approach to the design of cognitive skills in a robot able to interact with, and communicate about, the surrounding physical world and manipulate objects in an adaptive manner ...
The work is based on robotic simulation experiments showing that a humanoid robot (iCub platform) is able to acquire behavioral, cognitive, and linguistic skills through individual and social learning. ...
Fig. 4 . 4 Diagram of the motor control modules.
Fig. 5 . 5 Architecture of the employed feed-forward neural network. ...
doi:10.1109/tamd.2010.2100390
fatcat:dhpcvwvlxvhq3mlic4sicsnxxu
Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework
2018
Cognitive Computation
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In the setting of an industrial task where two robots are jointly assembling objects in a shared workspace, we describe a bioinspired neural architecture for goal-directed action planning based on coupled ...
Finally, the proposed neural framework is benchmarked against a typically engineered solution to evaluate its performance in the assembly task. ...
Acknowledgements We acknowledge the support of PROFACTOR GmbH, Austria, that designed the engineered benchmark system as part ...
doi:10.1007/s12559-018-9553-1
pmid:30147802
pmcid:PMC6096944
fatcat:mujplqwanjckphikysejs3gggq
Bio-Inspired Animated Characters A Mechanistic & Cognitive View
2016
Figshare
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This procedural animation solution uses bioinspired insights (modelling nature and the workings of the brain)to unveil a new generation of intelligent agents. ...
manner.We present an introduction to the concept of cognitive skills, asan aid in finding and designing a viable solution. ...
The motor part of the brain relies on information from the sensory systems. The control signals are dynamically changing depending on our state. ...
doi:10.6084/m9.figshare.4268924
fatcat:o3jwe53qxjh2rdlm7b24t6wupu
A Biomimetic Control Method Increases the Adaptability of a Humanoid Robot Acting in a Dynamic Environment
2019
Frontiers in Neurorobotics
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The control system is composed of the adaptive cerebellar module and a classic control method; their combination allows a fast adaptive learning and robust control of the robotic movements when external ...
With this purpose, we embedded a cerebellum-based control system into a humanoid robot that becomes capable of handling dynamical external and internal complexity. ...
The τ tot total control input is expressed as the result of a feed-forward compensation (as the AFEL architecture proposed by Tolu et al., 2012) , τ tot N×1 = τ tot 0 ... τ tot N = τ PID 0 ...
doi:10.3389/fnbot.2019.00070
pmid:31555117
pmcid:PMC6722230
fatcat:dxg6rnvkvzewbki6naycqsvfyi
Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks
2019
Computational Intelligence and Neuroscience
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A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real time. ...
The learning properties of the system have been challenged in a classic cerebellum-driven paradigm, a perturbed upper limb reaching protocol. ...
Supplementary Materials A supplementary video is provided, which illustrates the 3D motion task performed by the NAO robot, driven by the SNN controller, in the three experimental phases: 5 baseline trials ...
doi:10.1155/2019/4862157
pmid:30833964
pmcid:PMC6369512
fatcat:cler34bz4bg33f3mkih3g2mt5y
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents
2007
IEEE Transactions on Evolutionary Computation
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It does so based on a characterization of cognitive systems as systems which exhibit adaptive, anticipatory, and purposive goal-directed behavior. ...
robotic platforms with the aim of implementing bioinspired models of sensorimotor control. ...
ACKNOWLEDGMENT The authors would like to acknowledge the many helpful comments of the two anonymous referees on earlier versions of this paper. ...
doi:10.1109/tevc.2006.890274
fatcat:s3ueaficnjbebkrfnend4ahpau
Contextual action recognition and target localization with an active allocation of attention on a humanoid robot
2013
Bioinspiration & Biomimetics
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Inspired by the cognitive mechanisms underlying human social behaviour, we have designed and implemented a system for dynamic attention allocation which is able to actively control gaze movements during ...
Experimental results on a simulated environment show that active gaze control, based on the internal simulation of actions, provides a relevant advantage with respect to other action perception approaches ...
in the motor system. ...
doi:10.1088/1748-3182/8/3/035002
pmid:23981534
fatcat:xguccv2v6ndb3c6zdgllpie4ri
Questions to Guide the Future of Artificial Intelligence Research
[article]
2020
arXiv
pre-print
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The field of machine learning has focused, primarily, on discretized sub-problems (i.e. vision, speech, natural language) of intelligence. ...
In this article, we propose leading questions to guide the future of artificial intelligence research. There are clear computational principles on which the brain operates. ...
After all, solely feed-forward architectures have done remarkably well in domains like object recognition [80] . ...
arXiv:1912.10305v2
fatcat:hihf42fkinbk5horq7mdgdfmnq
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot
2014
IEEE Transactions on Autonomous Mental Development
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To achieve this goal, we propose a cognitive architecture that connects several models inspired by neural circuits of the visual, frontal and posterior parietal cortices of the brain. ...
precisely driving the motors of the arm to reach it. ...
On the other hand, multiplexers avoid any interference or conflict among modules that send motor commands, because they forward one signal at a time. ...
doi:10.1109/tamd.2014.2332875
fatcat:tfteyounbzesnea6m57icjvdee
Embodiment and Humanoid Robotics
[chapter]
2019
Springer Reference Geisteswissenschaften
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The 'human-to-humanoids (H2H)' approach focuses on developing humaninspired controllers, and to this end investigates the human motor system. ...
The historical evolution of the system can be observed when integrating learning into the bioinspired control, like in experiments of Lippi (2018) . ...
doi:10.1007/978-3-658-23715-8_23-1
fatcat:axartixugbgatklqarrjtxqiue
TWO!EARS Deliverable D4.1 - Feedback-loop selection and listing (WP4: Active listening, feedback loops & integration of cross-modal information; FP7-ICT-2013-C TWO!EARS FET-Open Project 618075)
2019
Zenodo
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Input from modalities other than the auditory one will also be considered as a source of feedback information, particularly, position, direction of speed of head-&-torso movements (proprioceptive and sensorimotor ...
within an innovative expert-system architecture. ...
Figure 2 . 6 : 26 Schematic of bottom-up feed-forward flow of auditory analysis and top-down cognitive influences (RHT) that give rise to auditory perception and awareness. ...
doi:10.5281/zenodo.2595244
fatcat:3oocvxholvgr3ecgubmq3uwxqa
Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case
2017
IEEE Transactions on Cognitive and Developmental Systems
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The vision module is placed on top of a microrobot to initiate obstacle avoidance behaviour autonomously. ...
The results of the experiments with different scenarios demonstrated the potential of the bio-inspired vision system as a low-cost embedded module for autonomous robots. ...
The feed forward inhibition and lateral inhibition work together to cope with such whole field movement. ...
doi:10.1109/tcds.2016.2574624
fatcat:jwk7up4uqbh4heuqbg6q6engum
The grand challenges ofScience Robotics
2018
Science Robotics
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Of our 10 grand challenges, the first 7 represent underpinning technologies that have a wider impact on all application areas of robotics. ...
One of the ambitions of Science Robotics is to deeply root robotics research in science while developing novel robotic platforms that will enable new scientific discoveries. ...
Third, cognitive systems relying on statistical machine learning and AI are becoming mainstream. ...
doi:10.1126/scirobotics.aar7650
pmid:33141701
fatcat:ier3exhbkvauhjd2uhgagtxjde
A review on neural network models of schizophrenia and autism spectrum disorder
2019
Neural Networks
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Recent theories and evidence on sensorimotor integration and body perception combined with modern neural network architectures could offer a broader and novel spectrum to approach these psychopathologies ...
Models of schizophrenia mainly focused on hallucinations and delusional thoughts using neural dysconnections or inhibitory imbalance as the predominating alteration. ...
This motor behavior could also be present in ASD. Just a single study focused on dysconnection in ASD. ...
doi:10.1016/j.neunet.2019.10.014
pmid:31760370
fatcat:nkqyxqpt6fgu7dbceq3m6craka
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