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A Robotic Head Neuro-controller Based on Biologically-Inspired Neural Models

G. Asuni, G. Teti, C. Laschi, E. Guglielmelli, P. Dario
Proceedings of the 2005 IEEE International Conference on Robotics and Automation  
The student shall: • revise extensively scientific literature for state-of-the-art robotic head bio-inspired neuro-controllers • describe the most advanced robotic heads controlled by biologically realistic  ...  models or bio-inspired controllers • evaluate the biological plausibility of the robotic head controller • evaluate the performance in terms of ability to reproduce human behavior Bibliography: [1] Berthouze  ...  A Robotic Head Neurocontroller Based on Biologically-Inspired Neural Models. In IEEE International Conference on Robotics and Automation, Proceedings.  ... 
doi:10.1109/robot.2005.1570466 dblp:conf/icra/AsuniTLGD05 fatcat:3sefeuj2gbgpxfpdhd2ynx7pda

Integration of Biological Neural Models for the Control of Eye Movements in a Robotic Head [chapter]

Marcello Mulas, Manxiu Zhan, Jörg Conradt
2015 Lecture Notes in Computer Science  
VF, Everding L, Weikersdorfer D, Conradt J, A wearable mobility device for the blind using retina-inspired dynamic vision sensors,  Tessadori J, Mulas M, Martinoia S, and Chiappalone M, A neuro-robotic  ...  Education  PhD in Bioengineering, University of Genoa, Italy, 2010 o PhD thesis title: Development of a neurorobotic system for the study of adaptive processes and synaptic plasticity in neural networks  ...  Conference on Biomimetics and Biohybrid systems, 28-31 July 2015, Barcelona, Spain (poster's title: Integration of biological neural models for the control of eye movements in a robotic head)  First  ... 
doi:10.1007/978-3-319-22979-9_24 fatcat:65w6cdo2p5erxicnxuydm23gyu

Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review

Anish Pandey
2017 International Robotics & Automation Journal  
The present article focuses on the study of the intelligent navigation techniques, which are capable of navigating a mobile robot autonomously in static as well as dynamic environments.  ...  Mobile robot is an autonomous agent capable of navigating intelligently anywhere using sensor-actuator control techniques.  ...  Biologically inspired neural network based wall-following mobile robot has been presented by Nichols et al. [57] .  ... 
doi:10.15406/iratj.2017.02.00023 fatcat:m6viumq36zf5zbfeexua475gjy

An Anthropomorphic Robotic Platform for Progressive and Adaptive Sensorimotor Learning

Loredana Zollo, Selim Eskiizmirliler, Giancarlo Teti, Cecilia Laschi, Yves Burnod, Eugenio Guglielmelli, Marc A. Maier
2008 Advanced Robotics  
This paper provides a brief overview of recent studies on sensorimotor coordination in human motor control and proposes a novel paradigm of adaptive learning for sensorimotor control, based on a multi-network  ...  based on acquired competences, with a higher degree of flexibility and generality than conventional robotic controllers, while preserving their robustness.  ...  For the specific case of the neurobiological model reported in Section 2, the design of the robotic platform is inspired by the human upper torso with a single arm, one hand, the head and the corresponding  ... 
doi:10.1163/156855308x291854 fatcat:ubehjtkpb5aipmxglahf2s6pim

Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence

Lidong Wang, Cheryl Ann Alexander
2020 Neuroscience International  
, cyborg, neuro-robotics, and quantum robotics.  ...  Neuroscience and brain-inspired artificial intelligence are significant research areas.  ...  Cyborg and Robotics A Neuro-Robotics System (NRS) is the "brain" of a neuro-robot.  ... 
doi:10.3844/amjnsp.2020.1.9 fatcat:apbgz22m6ffwzehijvq662pvwe

Special Feature on Bio-Inspired Robotics

Toshio Fukuda, Fei Chen, Qing Shi
2018 Applied Sciences  
Acknowledgments: This special issue receives technical support by IEEE Robotics and Automation Society (RAS) Technical Committee on Neuro-Robotics Systems, and Technical Committee on Cyborg and Bionic  ...  Systems and IEEE Systems, Man, and Cybernetics Society (SMC) Technical Committee on Bio-Mechatronics and Bio-Robotics Systems.  ...  In the Neural Inverse Optimal Control scheme, a neural identifier, based on Recurrent High Orden Neural Network trained with an extended kalman filter algorithm, is used to obtain a model of the system  ... 
doi:10.3390/app8050817 fatcat:umcpvvryxbfnvlmwvlcmsynj3q

Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence

Lidong Wang, Cheryl Ann Alexander
2019 Neuroscience International  
, cyborg, neuro-robotics, and quantum robotics.  ...  Neuroscience and brain-inspired artificial intelligence are significant research areas.  ...  Cyborg and Robotics A Neuro-Robotics System (NRS) is the "brain" of a neuro-robot.  ... 
doi:10.3844/amjnsp.2019.13.21 fatcat:dtoa5moa2bhwdbiaxe6belwlf4

Robotics as a future and emerging technology biomimetics, cybernetics, and neuro-robotics in european projects

P. Dario, M.C. Carrozza, E. Guglielmelli, C. Laschi, A. Menciassi, S. Micera, F. Vecchi
2005 IEEE robotics & automation magazine  
Robotics, especially, is now following this direction, with a stronger emphasis on biorobotics and biomedical applications.  ...  Towards the other extremity, there is research on intelligent and autonomous robots, like humanoids.  ...  Keywords Biorobotics, neuro-robotics, cybernetic hand, bioinspired sensors, underactuated hand, biomimetic robot.  ... 
doi:10.1109/mra.2005.1458320 fatcat:pq7jxy5ig5ff3lfjraas6ofuha

Modular Neural Architectures for Robotics [chapter]

J. L. Buessler, J. P. Urban
2003 Studies in Fuzziness and Soft Computing  
Based on a bi-directional architecture, multiple networks can be trained online with simple local learning rules, while the robotic systems interact with their environment.  ...  A review of a number of works presents some implementations in robotics, describing the purpose of the modular architecture, its structure, and the learning technique that was applied.  ...  The works are often neuro-biologically inspired [Ghahramani et al., 1997; Morasso et al., 1999] . − Ensemble-Based Approaches (figure 9.c.).  ... 
doi:10.1007/978-3-7908-1775-1_10 fatcat:zdg4ozhvg5hjtd5romjxfbwnqm

Autonomous learning of disparity–vergence behavior through distributed coding and population reward: Basic mechanisms and real-world conditioning on a robot stereo head

Agostino Gibaldi, Andrea Canessa, Fabio Solari, Silvio P. Sabatini
2015 Robotics and Autonomous Systems  
A neuromorphic control module for real-time vergence eye movements on the iCub robot head. IEEE-RAS International Conference on Humanoid Robots, 26-28 October, 2011, Bled, Slovenia. [CI. 11] M.  ...  (FP5, 2001)", "Beyond Robotics (FP6, 2003)", "Bio-inspired Intelligent Information Systems" (FP6, 2004), "Bio-ICT convergence" (FP7, 2007), "Brain-inspired ICT" (FP7, 2009), e "Neuro-Bio-Inspired Systems  ... 
doi:10.1016/j.robot.2015.01.002 fatcat:zffxmka6tnc2jibsibxrf3zkmu

A comprehensive study for robot navigation techniques

Faiza Gul, Wan Rahiman, Syed Sahal, Kun Chen
2019 Cogent Engineering  
Therefore, an autonomous robot is required that can travel freely in a static or a dynamic environment.  ...  Smooth and safe navigation of mobile robot through cluttered environment from start position to goal position with following safe path and producing optimal path length is the main aim of mobile robot  ...  Integration of neural network and swarm algorithms Hybridization of neuro-fuzzy techniques Zhu and Yang (Zhu & Yang, 2007) proposed a reactive-based neuro-fuzzy navigation system for mobile robot.  ... 
doi:10.1080/23311916.2019.1632046 fatcat:tbbzjgdbyzhflki37teqcyotmm

Application of artificial neural network for control and navigation of humanoid robot

Asita Kumar Rath, Harish Chandra Das, Dayal R. Parhi, Priyadarshi Biplab Kumar
2018 Journal of Mechanical Engineering and Sciences  
This paper is focussed on the development of an Artificial Neural Network based navigational controller for path planning examination of humanoid robot strolling.  ...  The path planning analysis is carried out on a NAO humanoid robot.  ...  They controlled humanoid robots by the neuromorphic model with the utilization of the dynamic character in a neural network model. Pradhan et al.  ... 
doi:10.15282/jmes.12.2.2018.1.0313 fatcat:uvzgwo4jvzcvbc44rynzyvhnwy

Intelligent Navigation for a Solar Powered Unmanned Underwater Vehicle

Francisco García-Córdova, Antonio Guerrero-González
2013 International Journal of Advanced Robotic Systems  
The underwater vehicle implements a biologically inspired neural architecture for autonomous intelligent navigation.  ...  Navigation is carried out by integrating a kinematic adaptive neuro-controller for trajectory tracking and an obstacle avoidance adaptive neuro-controller.  ...  A biologically inspired neural network for spatial reaching tracking has been developed. This neural network is implemented as a kinematical adaptive neuro-controller.  ... 
doi:10.5772/56029 fatcat:4aqxljbnijdonlsuoh76xahaxi

Scaling-up action learning neuro-controllers with GPUs

Martin Peniak, Angelo Cangelosi
2014 2014 International Joint Conference on Neural Networks (IJCNN)  
Neural networks have been used in many different robot motor-control experiments, however, so far the complexity of these neuro-controllers have remained at the similar level.  ...  The focus of this paper is to demonstrate that it is possible to scale-up these neuro-robotic controllers with GPUs leading to richer, more realistic and more complex motor control.  ...  Yamashita and Tani [15] were inspired by the latest biological observations of the brain to develop a completely new model of action sequence learning known as Multiple Timescales Recurrent Neural Network  ... 
doi:10.1109/ijcnn.2014.6889925 dblp:conf/ijcnn/PeniakC14 fatcat:qwl33f2y6rgjdindkokcavawrm

Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study

Francisco Naveros, Jesus A. Garrido, Angelo Arleo, Eduardo Ros, Niceto R. Luque
2018 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
The results validate the adaptive capabilities of the spiking cerebellar model (with STDP)in a perception-action closed-loop (r- VOR)causing the simulated iCub robot to mimic a human behavior.  ...  The work proposes and describes an embodiment solution for which we endow a simulated humanoid robot (iCub)with a spiking cerebellar model by means of the NRP, and we face the humanoid to an r-VOR task  ...  Luque), a grant from the European Union (Cerebsensing, H2020-653019 to J. A.  ... 
doi:10.1109/iros.2018.8594019 dblp:conf/iros/NaverosGARL18 fatcat:4welbtdnbnbfzan6ja6vfxzxwq
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