Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework

[1]  Miguel Angel Ferrer-Ballester,et al.  A Perspective Analysis of Handwritten Signature Technology , 2019, ACM Comput. Surv..

[2]  Jeremy A. Marvel,et al.  Multi-Robot Assembly Strategies and Metrics , 2018, ACM Comput. Surv..

[3]  Simeng Liu,et al.  Assembly sequence planning for reflector panels based on genetic algorithm and ant Colony optimization , 2017 .

[4]  Christian Eitzinger,et al.  Towards a learnt neural body schema for dexterous coordination of action in humanoid and industrial robots , 2017, Auton. Robots.

[5]  Shahriar Gharibzadeh,et al.  Human Brain Function in Path Planning: a Task Study , 2017, Cognitive Computation.

[6]  Benjamin Kuipers,et al.  Learning to reach by building a representation of peri-personal space , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[7]  Alessandro Roncone,et al.  Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin , 2016, PloS one.

[8]  Surendra M. Gupta,et al.  A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem , 2016, Ann. Oper. Res..

[9]  Giulio Sandini,et al.  Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences , 2016, Journal of The Royal Society Interface.

[10]  Bibhuti Bhusan Biswal,et al.  A review on assembly sequence generation and its automation , 2016 .

[11]  Yılmaz Delice,et al.  Stochastic two-sided U-type assembly line balancing: a genetic algorithm approach , 2016 .

[12]  Patrick Marmaroli,et al.  Body part-centered and full body-centered peripersonal space representations , 2015, Scientific Reports.

[13]  Ali Fuat Alkaya,et al.  Combining and solving sequence dependent traveling salesman and quadratic assignment problems in PCB assembly , 2015, Discret. Appl. Math..

[14]  Vishwanathan Mohan,et al.  How iCub Learns to Imitate Use of a Tool Quickly by Recycling the Past Knowledge Learnt During Drawing , 2015, Living Machines.

[15]  M. Moser,et al.  A prefrontal–thalamo–hippocampal circuit for goal-directed spatial navigation , 2015, Nature.

[16]  Mehmet Remzi Dogar,et al.  Multi-robot grasp planning for sequential assembly operations , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[17]  Clare Press,et al.  Beyond action-specific simulation: domain-general motor contributions to perception , 2015, Trends in Cognitive Sciences.

[18]  Somayé Ghandi,et al.  A breakout local search (BLS) method for solving the assembly sequence planning problem , 2015, Eng. Appl. Artif. Intell..

[19]  Jun Ota,et al.  Robust multi-robot coordination in pick-and-place tasks based on part-dispatching rules , 2015, Robotics Auton. Syst..

[20]  G. Pellegrino,et al.  Peripersonal space in the brain , 2015, Neuropsychologia.

[21]  V. Gallese,et al.  Embodied Simulation: A Paradigm for the Constitution of Self and Others , 2015 .

[22]  Sergey Levine,et al.  Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics , 2014, NIPS.

[23]  A. Clark,et al.  Getting ahead: forward models and their place in cognitive architecture , 2014, Trends in Cognitive Sciences.

[24]  Manuela Chessa,et al.  A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot , 2014, IEEE Transactions on Autonomous Mental Development.

[25]  Tingwen Huang,et al.  A Consensus-Based Grouping Algorithm for Multi-agent Cooperative Task Allocation with Complex Requirements , 2014, Cognitive Computation.

[26]  Yann Coello,et al.  The perception of peripersonal space in right and left brain damage hemiplegic patients , 2014, Front. Hum. Neurosci..

[27]  Milan Simic,et al.  Sampling-Based Robot Motion Planning: A Review , 2014, IEEE Access.

[28]  G. Verni,et al.  Amputation and prosthesis implantation shape body and peripersonal space representations , 2013, Scientific Reports.

[29]  Hongping Cai,et al.  Fast Detection of Multiple Textureless 3-D Objects , 2013, ICVS.

[30]  Manolis I. A. Lourakis,et al.  Model-Based Pose Estimation for Rigid Objects , 2013, ICVS.

[31]  Andreas Pichler,et al.  RRT planner for the binpicking problem , 2013, 9th International Workshop on Robot Motion and Control.

[32]  Emilio Bizzi,et al.  The neural origin of muscle synergies , 2013, Front. Comput. Neurosci..

[33]  Giulio Sandini,et al.  Inference Through Embodied Simulation in Cognitive Robots , 2013, Cognitive Computation.

[34]  R. Alami,et al.  Towards a Task-Aware Proactive Sociable Robot Based on Multi-state Perspective-Taking , 2013, Int. J. Soc. Robotics.

[35]  Joe Falco,et al.  Best Practices and Performance Metrics Using Force Control for Robotic Assembly , 2012 .

[36]  Ashutosh Tiwari,et al.  A review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches , 2012 .

[37]  G. Hesslow.  The current status of the simulation theory of cognition , 2012, Brain Research.

[38]  Pietro G. Morasso,et al.  Passive Motion Paradigm: An Alternative to Optimal Control , 2011, Front. Neurorobot..

[39]  Karl J. Friston.  What Is Optimal about Motor Control? , 2011, Neuron.

[40]  V. Gallese,et al.  What is so special about embodied simulation? , 2011, Trends in Cognitive Sciences.

[41]  Giorgio Metta,et al.  The distribution of rewards in sensorimotor maps acquired by cognitive robots through exploration , 2011, Neurocomputing.

[42]  Peter Ford Dominey,et al.  Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model , 2011, Front. Neurorobot..

[43]  Giulio Sandini,et al.  Teaching a humanoid robot to draw ‘Shapes’ , 2011, Auton. Robots.

[44]  Kunikazu Kobayashi,et al.  An Improved Internal Model of Autonomous Robots by a Psychological Approach , 2011, Cognitive Computation.

[45]  Marco Antonelli,et al.  Implicit Sensorimotor Mapping of the Peripersonal Space by Gazing and Reaching , 2011, IEEE Transactions on Autonomous Mental Development.

[46]  Stefan Kopp,et al.  Embodied Gesture Processing: Motor-Based Integration of Perception and Action in Social Artificial Agents , 2010, Cognitive Computation.

[47]  Julian Eggert,et al.  Dynamic, Task-Related and Demand-Driven Scene Representation , 2010, Cognitive Computation.

[48]  M. Latash,et al.  Motor control theories and their applications. , 2010, Medicina.

[49]  D. Lloyd,et al.  Embodied experience: A first-person investigation of the rubber hand illusion , 2010 .

[50]  Karl J. Friston.  The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[51]  Giulio Sandini,et al.  A biomimetic, force-field based computational model for motion planning and bimanual coordination in humanoid robots , 2009, Auton. Robots.

[52]  M. Desmurget,et al.  A parietal-premotor network for movement intention and motor awareness , 2009, Trends in Cognitive Sciences.

[53]  Lawrence W Barsalou,et al.  Simulation, situated conceptualization, and prediction , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[54]  Florentin Wörgötter,et al.  Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs) , 2009, Robotics Auton. Syst..

[55]  Scott T. Grafton.  Embodied Cognition and the Simulation of Action to Understand Others , 2009, Annals of the New York Academy of Sciences.

[56]  Jeremy A. Marvel,et al.  Automated learning for parameter optimization of robotic assembly tasks utilizing genetic algorithms , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[57]  Alessandro Saffiotti,et al.  Monitoring the execution of robot plans using semantic knowledge , 2008, Robotics Auton. Syst..

[58]  Marc Toussaint,et al.  Probabilistic inference for structured planning in robotics , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[59]  T. Higuchi,et al.  Action‐oriented representation of peripersonal and extrapersonal space: Insights from manual and locomotor actions1 , 2006 .

[60]  Marc Toussaint,et al.  A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning , 2006, Neural Computation.

[61]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[62]  Tim Roughgarden,et al.  Planning Tours of Robotic Arms among Partitioned Goals , 2006, Int. J. Robotics Res..

[63]  Yoke San Wong,et al.  An Enhanced Assembly Planning Approach Using a Multi-Objective Genetic Algorithm , 2006 .

[64]  Heiko Wersing,et al.  Peripersonal space and object recognition for humanoids , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[65]  Luigi Maria Galantucci,et al.  Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms , 2004, ArXiv.

[66]  Rick Grush,et al.  The emulation theory of representation: Motor control, imagery, and perception , 2004, Behavioral and Brain Sciences.

[67]  G. Schöner,et al.  Dynamic Field Theory of Movement Preparation , 2022 .

[68]  M. Jeannerod.  Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.

[69]  Beatrice Lazzerini,et al.  A genetic algorithm for generating optimal assembly plans , 2000, Artif. Intell. Eng..

[70]  F. Bonneville,et al.  A genetic algorithm to generate and evaluate assembly plans , 1995, Proceedings 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. ETFA'95.

[71]  P. Morasso,et al.  Kinematic networks , 1988, Biological Cybernetics.

[72]  E. Bizzi,et al.  Processes controlling arm movements in monkeys. , 1978, Science.

[73]  S. Amari.  Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.

[74]  Vishwanathan Mohan,et al.  Joint Goal Human Robot collaboration-From Remembering to Inferring , 2017, BICA.

[75]  Abdel-Illah Mouaddib,et al.  Spatial Knowledge in Planning Language , 2011, KEOD.

[76]  M. Bar.  Predictions in the brain : using our past to generate a future , 2011 .

[77]  V. Ramachandran.  The Tell-Tale Brain: Unlocking the Mystery of Human Nature , 2011 .

[78]  Nathan J Emery,et al.  Therapy for Specific Problems Therapy for Specific Problems : Youth Tobacco Cessation , 2009 .

[79]  K. Jellinger.  Motor Cognition What Actions Tell the Self , 2007 .

[80]  D. Wolpert,et al.  Disorders of Body Scheme , 2004 .

[81]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[82]  Bernd Fritzke,et al.  A Growing Neural Gas Network Learns Topologies , 1994, NIPS.

[83]  N. A. Bernshteĭn.  The co-ordination and regulation of movements , 1967 .