Gianluca Baldassarre

Orcid: 0000-0002-1277-4447

Affiliations:
  • National Research Council, Italy


According to our database1, Gianluca Baldassarre authored at least 109 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation.
CoRR, 2024

2023
REAL-X - Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems.
IEEE Trans. Cogn. Dev. Syst., December, 2023

C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals.
IEEE Trans. Cogn. Dev. Syst., March, 2023

Learning Abstract Representations Through Lossy Compression of Multimodal Signals.
IEEE Trans. Cogn. Dev. Syst., 2023

Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL).
IEEE Trans. Cogn. Dev. Syst., 2023

A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents.
CoRR, 2023

A method for the ethical analysis of brain-inspired AI.
CoRR, 2023

Multi-sensory Wearable Bio-feedback Pillow to Enhance Genuine Feeling of Intimate Connection.
Proceedings of the Seventeenth International Conference on Tangible, 2023

Autonomous Learning of Task Sequences in Robotic Scenarios with Non-Stationary Interdependencies.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Co-designing play activities and monitoring tools with smart interactive toys to support early intervention in Autism Spectrum Disorder and comparable neurodevelopmental conditions.
Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

Supporting turn-taking activities: a pilot study using a smart toy with children with a diagnosis of neurodevelopmental disorders.
Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

2022
A Natural Human-Drone Embodied Interface: Empirical Comparison With a Traditional Interface.
Frontiers Neurorobotics, September, 2022

Intrinsic Motivations and Planning to Explain Tool-Use Development: A Study With a Simulated Robot Model.
IEEE Trans. Cogn. Dev. Syst., 2022

A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity.
Frontiers Comput. Neurosci., 2022

Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies.
CoRR, 2022

A multi-expert ensemble system for predicting Alzheimer transition using clinical features.
Brain Informatics, 2022

Autonomous learning of multiple curricula with non-stationary interdependencies<sup>*</sup>.
Proceedings of the IEEE International Conference on Development and Learning, 2022

A Novel System Based on a Smart Toy Responding to Child's Facial Expressions: Potential Use in Early Treatment of Autism Spectrum Disorders.
Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

Leveraging curiosity to encourage social interactions in children with Autism Spectrum Disorder: preliminary results using the interactive toy PlusMe.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Interactive soft toys to support social engagement through sensory-motor plays in early intervention of kids with special needs.
Proceedings of the IDC '22: Interaction Design and Children, Braga, Portugal, June 27, 2022

2021
Internal manipulation of perceptual representations in human flexible cognition: A computational model.
Neural Networks, 2021

A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning.
CoRR, 2021

REAL 2021 - Robot open-Ended Autonomous Learning: A Competition and Benchmark.
Proceedings of the IEEE International Conference on Development and Learning, 2021

"X-8": An Experimental Interactive Toy to Support Turn-Taking Games in Children with Autism Spectrum Disorders.
Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

2020
A generative spiking neural-network model of goal-directed behaviour and one-step planning.
PLoS Comput. Biol., 2020

Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response.
J. Artif. Gen. Intell., 2020

An open-ended learning architecture to face the REAL 2020 simulated robot competition.
CoRR, 2020

Autonomous learning of multiple, context-dependent tasks.
CoRR, 2020

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints.
CoRR, 2020

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks.
IEEE Trans. Cogn. Dev. Syst., 2019

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots.
Frontiers Neurorobotics, 2019

Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots.
Frontiers Neurorobotics, 2019

An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning.
Frontiers Neurorobotics, 2019

Representation Internal-Manipulation (RIM): A Neuro-Inspired Computational Theory of Consciousness.
CoRR, 2019

Intrinsic motivations and open-ended learning.
CoRR, 2019

Learning High-Level Planning Symbols from Intrinsically Motivated Experience.
CoRR, 2019

Autonomous Open-Ended Learning of Interdependent Tasks.
CoRR, 2019

REAL-2019: Robot open-Ended Autonomous Learning competition.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Autonomous Reinforcement Learning of Multiple Interrelated Tasks.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots.
Proceedings of the 6th Italian Workshop on Artificial Intelligence and Robotics co-located with the XVIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019), 2019

2018
Bio-Inspired Model Learning Visual Goals and Attention Skills Through Contingencies and Intrinsic Motivations.
IEEE Trans. Cogn. Dev. Syst., 2018

General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain.
PLoS Comput. Biol., 2018

Know Your Body Through Intrinsic Goals.
Frontiers Neurorobotics, 2018

Autonomous discovery of the goal space to learn a parameterized skill.
CoRR, 2018

Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017
Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome.
PLoS Comput. Biol., 2017

Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robot.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016
Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges.
Proceedings of the Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges, 2016

GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning.
IEEE Trans. Cogn. Dev. Syst., 2016

Interplay of Rhythmic and Discrete Manipulation Movements During Development: A Policy-Search Reinforcement-Learning Robot Model.
IEEE Trans. Cogn. Dev. Syst., 2016

Transitional Wearable Companions: A Novel Concept of Soft Interactive Social Robots to Improve Social Skills in Children with Autism Spectrum Disorder.
Int. J. Soc. Robotics, 2016

2015
Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom-Up and Adaptive Top-Down Attention Tested With a Simple Camera-Arm Robot.
IEEE Trans. Auton. Ment. Dev., 2015

Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.
Neural Networks, 2015

Selection of cortical dynamics for motor behaviour by the basal ganglia.
Biol. Cybern., 2015

2014
Modular and hierarchical brain organization to understand assimilation, accommodation and their relation to autism in reaching tasks: a developmental robotics hypothesis.
Adapt. Behav., 2014

Learning parameterized motor skills on a humanoid robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning where to look with movement-based intrinsic motivations: A bio-inspired model.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Autonomous selection of the "what" and the "how" of learning: An intrinsically motivated system tested with a two armed robot.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Cumulative Learning Through Intrinsic Reinforcements.
Proceedings of the Evolution, Complexity and Artificial Life, 2014

2013
Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study.
Neural Networks, 2013

Which is the best intrinsic motivation signal for learning multiple skills?
Frontiers Neurorobotics, 2013

Different Genetic Algorithms and the Evolution of Specialization: A Study with Groups of Simulated Neural Robots.
Artif. Life, 2013

Modelling mental rotation in cognitive robots.
Adapt. Behav., 2013

Learning Epistemic Actions in Model-Free Memory-Free Reinforcement Learning: Experiments with a Neuro-robotic Model.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

A cognitive robotic model of mental rotation.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

The "Mechatronic Board": A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots.
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

Functions and Mechanisms of Intrinsic Motivations.
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM).
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

Intrinsically Motivated Learning Systems: An Overview.
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

Computational and Robotic Models of the Hierarchical Organization of Behavior: An Overview.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

The Hierarchical Organisation of Cortical and Basal-Ganglia Systems: A Computationally-Informed Review and Integrated Hypothesis.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasks.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Intrinsic motivation mechanisms for competence acquisition.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

2011
Research on cognitive robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy.
Cogn. Process., 2011

Hierarchical reinforcement learning and central pattern generators for modeling the development of rhythmic manipulation skills.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

What are intrinsic motivations? A biological perspective.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

2010
The roles of the amygdala in the affective regulation of body, brain, and behaviour.
Connect. Sci., 2010

Learning to Look in Different Environments: An Active-Vision Model Which Learns and Readapts Visual Routines.
Proceedings of the From Animals to Animats 11, 2010

How can bottom-up information shape learning of top-down attention-control skills?
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

A Bioinspired Hierarchical Reinforcement Learning Architecture for Modeling Learning of Multiple Skills with Continuous States and Actions.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009
Strengths and synergies of evolved and designed controllers: A study within collective robotics.
Artif. Intell., 2009

Navigation via Pavlovian conditioning: a robotic bio-constrained model of autoshaping in rats.
Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob 2009), 2009

Modelling Coordination of Learning Systems: A Reservoir Systems Approach to Dopamine Modulated Pavlovian Conditioning.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

2008

A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map.
Proceedings of the Challenge of Anticipation, 2008

Self-Organization as Phase Transition in Decentralized Groups of Robots: A Study Based on Boltzmann Entropy.
Proceedings of the Advances in Applied Self-organizing Systems, 2008

Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots.
Proceedings of the From Animals to Animats 10, 2008

A Computational Model of the Amygdala Nuclei's Role in Second Order Conditioning.
Proceedings of the From Animals to Animats 10, 2008

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008

2007
Self-Organized Coordinated Motion in Groups of Physically Connected Robots.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006
Distributed Coordination of Simulated Robots Based on Self-Organization.
Artif. Life, 2006

A Testbed for Neural-Network Models Capable of Integrating Information in Time.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

A Model of Reaching that Integrates Reinforcement Learning and Population Encoding of Postures.
Proceedings of the From Animals to Animats 9, 2006

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

2004
Evolving Self-Organizing Behaviors for a <i>Swarm-Bot</i>.
Auton. Robots, 2004


2003
Evolving Mobile Robots Able to Display Collective Behaviors.
Artif. Life, 2003

Evolution of Collective Behavior in a Team of Physically Linked Robots.
Proceedings of the Applications of Evolutionary Computing, 2003

Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

2002
A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours.
Cogn. Syst. Res., 2002

2001
Planning with neural networks and reinforcement learning.
PhD thesis, 2001

Coarse planning for landmark navigation in a neural-network reinforcement-learning robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001


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