top of page
This site was designed with the
.com
website builder. Create your website today.Start Now

Publications

  1. Bhat, A. A.., J Spencer, L Samuelson (2020). Cross-situational word learning models: A review, in preparation

  2. Bhat, A. A., J Spencer, L Samuelson (2020). WOLVES: A neuro-computational model of children’s response to novelty and word learning, submitted

  3. Bhat, A. A., J Spencer, L Samuelson (2020). Word-Object Learning via Visual Exploration in Space (WOLVES): A Neural Process Account of Cross-Situational Word Learning. https://doi.org/10.31219/osf.io/kxycs  in review Psychological Review

  4. Bhat, A. A., Mohan V. (2020). Bending it Like Betty: From Memory to Creativity in Cognitive Robotics, under review

  5. Bhat, A. A., Mohan V. (2020). Instructable cognitive machines for multi-task learning, in prep Künstliche Intelligenz

  6. Bhat, A. A., Mohan V. (2020). Creative Problem-Solving in Robots using Constructive Episodic Simulations. In review, 29th IEEE International Conference on Robot and Human Interactive Communication, Naples.

  7. Bhat, A. A., Spencer, J. P., & Samuelson, L. K. (2020). Effect of Metric Variation in Object Shapes and Colours on Cross-Situational Word Learning in Adults. OSF Pre-registry. Retrieved from https://osf.io/rbg7m 

  8. Bhat, A. A., Spencer, J. P., & Samuelson, L. K. (2020). Moving beyond Associative Learning and Hypothesis Testing: How Stimulus Exposure Times and Looking Behaviours Conspire in Cross-Situational Word Learning. OSF Pre-registry. Retrieved from https://osf.io/htd7p   

  9. Bhat, A. A., Mohan V. (2020). Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment, International Conference on Learning and Representation, (ICLR), Addis Ababa  arXiv:2003.00274 https://arxiv.org/abs/2003.00274

  10. Mohan V., Morasso P., Bhat, A. A. (2019). The complementarity of ‘Muscleless’ motor synergies with motor control strategies in humans and robots: Reply to Comments Physics of Life Reviews, ISSN 1571-0645, https://doi.org/10.1016/j.plrev.2019.11.001.

  11. Mohan V., Bhat, A. A., Morasso P. (2019). Muscle-less motor synergies and actions without movements. From motor neuroscience to embodied cognition. Physics of Life Reviews. https://doi.org/10.1016/j.plrev.2018.04.005  

  12. Mohan V., Bhat, A. A. (2019). Why human Tools, Scripts and Skills are the way they are? Insights from teaching motor skills to humanoid robots. In review.

  13. Bhat, A. A. Mohan V. (2018). Goal directed reasoning and cooperation in robots in shared workspaces: An internal simulation based neural framework, Cognitive Computation https://doi.org/10.1007/s12559-018-9553-1

  14. Mohan, V., & Bhat, A. A. (2018). Joint Goal Human-Robot collaboration-From Remembering to Inferring. 8th Annual International Conference on Biologically Inspired Cognitive Architectures BICA 2017, published in Procedia Computer Science, 123, 579-584. https://doi.org/10.1016/j.procs.2018.01.089

  15. Bhat, A. A., Spencer, J. P, & Samuelson, L. K. (2018). A dynamic neural field model of memory, attention and cross-situational word learning. CogSci 2018: Madison, The 40th Annual Meeting of the Cognitive Science Society.  http://mindmodeling.org/cogsci2018/papers/0048/index.html

  16. Bhat, A. A., Mohan V., Akkaladevi S. C., Eitzinger C., Sandini G., Morasso P. (2016). Towards a learnt neural Body schema for dexterous coordination of action in Humanoid and Industrial robots. Autonomous Robots 41: 945 http://link.springer.com/article/10.1007/s10514-016-9563-3

  17. Bhat, A. A., Mohan V., Sandini G., Morasso P. (2016). Humanoid robot infers Archimedes’ principle: From cumulative exploration to abstraction of underlying physical relations and object affordances. Journal of the Royal Society Interface 13: 20160310 http://rsif.royalsocietypublishing.org/content/13/120/20160310

  18. Bhat, A. A., Mohan V., (2015). How iCub Learns to Imitate Use of a Tool Quickly by Recycling the Past Knowledge Learnt During Drawing. In Biomimetic and Biohybrid Systems, pp. 339-347. Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-22979-9_33

  19. Bhat, A. A., Mohan V., Rea F., Morasso P., Sandini G. (2014). “Connecting Experiences”: Towards a Biologically Inspired Episodic Memory for Developmental Robots".  IEEE International Conf. on Development and Learning (ICDL-EPIROB 2014), Genoa, Italy.  https://ieeexplore.ieee.org/document/6983007

  20.  Mohan V., Bhat, A. A., Morasso P., Sandini G. (2014). From Object-Action to Property-Action: Learning causally dominant properties through cumulative explorative interactions, Biologically Inspired Cognitive Architectures 10, p42-50. http://dx.doi.org/10.1016/j.bica.2014.11.006

  21.  Bhat, A. A., Mehta A., (2012). Dynamics of Competitive Learning: The role of Updates and Memory. Physical Review E 85, 011134. http://dx.doi.org/10.1103/PhysRevE.85.011134

  22.  Bhat, A. A., Mahajan G., Mehta A., (2011). Learning with a network of Competing Synapses, PLoS ONE 6(9): e25048. http://dx.doi.org/10.1371/journal.pone.0025048

Conference Abstracts, Workshops & Invited Talks

  1. Bhat, A. A, Spencer, J P, & Samuelson, L. K. (2020). What Explains Changes in Cross-Situational Word Learning Behaviour over Development? A Process-Level Model. LCICD 2020: Lancaster Conference on Infant and Early Child Development, Lancaster UK [Talk]

  2. Samuelson L. K., Spencer J. P., Colosimo L. & Bhat, A. A. (2019). What Changes Over Development in Cross-Situational Word Learning Behaviour and How Do We Explain It? SRCD 2019:  The Biennial Meeting of the Society for Research in Child Development, Baltimore USA. [Poster] 

  3. Bhat, A. A. (2018). “Thirsty Crows, Cognitive Robots and Attentive Babies — Chronicles in Active Learning” at ICDL-EpiRob 2018: International Conference on Developmental Learning and Epigenetic Robotics, Tokyo, Japan [Invited Talk].

  4. Bhat, A. A, Spencer, J P, & Samuelson, L. K. (2018). Connecting looking to learning in infants — the lexical vacuum cleaners. BPS East of England Conference 2018: From research to theory and practise: changing lives, UEA, Norwich [Talk]

  5. Buss, A. T, Perone, S, & Bhat, A. A. (2018). Conceptual Foundations in Dynamic Field Theory: Applications in Cognitive and Developmental Science, CogSci 2018: The 40th Annual Meeting of the Cognitive Science Society, Madison [Workshop].

  6. Bhat, A. A (2018). “Dynamic Field Theory for Higher Cognition” at Cog Sci 2018: The 40th Annual Meeting of the Cognitive Science Society, Madison [Tutorial Talk]

  7. Bhat, A. A, Spencer, J P, & Samuelson, L. K. (2018). Language acquisition and visual dynamics in cross-situational word learning tasks, BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Prague. [Talk]

  8. Bhat, A. A. (2018). “Early Word Learning : DFT Modelling” at DFT Bootcamp, EFT 2018: Expanding the Field of Multi-Disciplinary Developmental Dynamics Conference, Norwich UK [Tutorial]

  9. Bhat, A. A. (2018). “Multiscale Dynamics of Looking and Learning” at ETF 2018: Expanding the Field of Multi-Disciplinary Developmental Dynamics Conference, Norwich UK [Invited Talk]

  10. Spencer, J P, Bhat, A. A., Colosimo, L. & Samuelson, L. (2017). Word-object learning via visual exploration in space (WOLVES): A dynamic neural field model of statistical learning. SRCD 2017: The Biennial Meeting of the Society for Research in Child Development, Austin, TX. [Talk]

  11. Bhat, A. A, Spencer J P and Samuelson L K (2017), “Novelty-attention interactions in cross-situational word learning.”, Lorentz Center Workshop “Perspectives on Developmental Robotics”, Leiden, the Netherlands, May 15-19. [Poster]

  12. Bhat, A. A (2017). “Memory Clouds for Future Robots” at Workshop on AI and Cloud Computing, SSM College of Engineering, Srinagar [Keynote Talk]

  13. Bhat, A. A, Colosimo L, Spencer J P and Samuelson L K (2017) “How does novelty influence early word learning in cross-situational scenarios? A dynamical-fields modelling approach” International Conference, “Stop me if you think you've heard this one before”: Novelty, Repetition and the Brain, UEA, Norwich UK, May 11-12. [Poster]

  14. Bhat, A. A., Mohan V. (2015). How iCub Learns to Imitate Use of a Tool by Recycling the Past Knowledge Learnt During Drawing. 4th International Conference, Living Machines 2015, Barcelona, Spain. [Poster]

  15. Bhat, A. A., Mehta A. (2012). “Dynamics of Competitive Learning” at Bose Fest 2012, S N Bose Centre, Kolkata, India [Talk]

Technical Reports

  1.  DARWIN D9.5, (2015). “Deliverable D9.5: Industrial assembly demonstrator and final evaluation”, EC FP7 project DARWIN Grant No. 270138 .

Education

  • 2013 - 2016  

Ph.D. in Cognitive Robotics

Italian Institute of Technology and University of Genoa, Italy

Dissertation Title: Towards a Brainlike MΞMϽRY for Cognitive Robots

 

  • 2007 - 2010 

Masters in Computer Applications

Dept. of Computer Sciences, University of Kashmir, Srinagar, India 
Masters Project: Character Recognition Using Neural Networks

bottom of page