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Cognitive Robotics

Scope

There is growing need for robots that can interact safely with people in everyday situations. These robots have to be able to anticipate the effects of their own actions as well as the actions and needs of the people around them.

Resources

Research

Research Challenges

Social Cognition for Human-Robot Symbiosis

Challenges and Building Blocks

The limits and potentials of deep learning for robotics

Building machines that learn and think like people

Controversies in Cognitive Systems Research

A First Draft Analysis

of Some Meta-Requirements for Cognitive Systems in Robots

Cognitive Architecture Surveys

40 years of cognitive architectures

core cognitive abilities and practical application

Biologically Inspired Cognitive Architectures Society (BICA)

A world survey of artificial brain projects

Part II: Biologically inspired cognitive architectures

Cognitive Architecture Design Principles

Design principles for biologically inspired cognitive robotics

Desiderata for Developmental Cognitive Architectures

A Standard Model of the Mind

now referred to as a Common Model of Cognition (sm.ict.usc.edu)

Knowledge-based Approaches

Ontology-based Approaches to Robot Autonomy

Socio-physical Models of Activities (SOMA)

Relevant Publications

  • Sandini, G., Sciutti, A., & Morasso, P. (2024). Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents. Frontiers in Computational Neuroscience, 18, 1349408.
  • Taniguchi, T., Murata, S., Suzuki, M., Ognibene, D., Lanillos, P., Ugur, E., Jamone, L., Nakamura, T., Ciria, A., Lara, B., & Pezzulo, G. (2023). World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges. Advanced Robotics, 37(13), 780-806.
  • Shimoda, S., Jamone, L., Ognibene, D., Nagai, T., Sciutti, A., Costa-Garcia, A., Oseki, Y., & Taniguchi, T. (2022). What is the role of the next generation of cognitive robotics?. Advanced Robotics, 36(1-2), 3-16.
  • Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A. (2022). A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots. Neural Networks, 150, 293-312.
  • Cangelosi, A. and Asada, M. (2021), Eds. , Cognitive Robotics, MIT Press
  • Sandini, G., Sciutti, A., and Vernon, D. (2021) “Cognitive Robotics” in Encyclopedia of Robotics, Ang, M., Khatib, O., Siciliano, B. (Eds.), Springer, Berlin, Heidelberg.
  • Vernon, D. (2021). “Cognitive Architectures”, in Cognitive Robotics, Cangelosi, A. and Asada, M. (Eds.), MIT Press.
  • Ueda, S., Nakashima, R., & Kumada, T. (2021). Influence of levels of automation on the sense of agency during continuous action. Scientific reports, 11(1), 1-13.
  • Di Cesare, G., Vannucci, F., Rea, F., Sciutti, A., & Sandini, G. (2020). How attitudes generated by humanoid robots shape human brain activity. Scientific Reports, 10(1), 1-12.
  • Taniguchi, A., Hagiwara, Y., Taniguchi, T., & Inamura, T. (2020). Improved and scalable online learning of spatial concepts and language models with mapping. Autonomous Robots, 44(6), 927-946.
  • Tangiuchi, T., D. Mochihashi, T. Nagai, S. Uchida, N. Inoue, I. Kobayashi, T. Nakamura, Y. Hagiwara, N. Iwahashi, and T. Inamura. (2019). “Survey on Frontiers of Language and Robotics.” Advanced Robotics, 33 (15-16), 700-730.
  • Fischer, T., & Demiris, Y. (2019, issued in 2020). Computational modeling of embodied visual perspective taking. IEEE Transactions on Cognitive and Developmental Systems, 12(4), 723-732.

Top three technical innovations (2020-2022)

The top three outstanding innovations in Cognitive Robotics in 2020-2022 are:

1. Focus on an architectural approach to human – robot interaction to support autonomy and long-term interactions.

2. Advances in the integration of machine learning and model-based approaches in cognitive robots

3. Progress in language understanding and acquisition in real-world environments.

Robot Platforms

openEASE

Open Knowledge for AI-Enabled Robots

iCub

an open source cognitive humanoid robotic platform

Research Networks

TC-CORO

IEEE Technical Committee on Cognitive Robotics

EUCog

European Society for Cognitive Systems

BICA

Biologically Inspired Cognitive Architectures Society

AICOR Virtual Research Building (VRB)

The Virtual Research Building aims to be a hub where the future of AI-powered and cognition-enabled robotics unfolds

Inside the AICOR VRB, you can visit our cutting-edge research laboratories including those in development and dedicated to software components. Engage with the first chapter of our interactive textbook to discover the foundational principles and insights that guide our research, complemented by practical programming exercises in the virtual labs.

White Papers

Dynamic Field Theory (DFT)

Applications in Cognitive Science and Robotics

Observing Human Behaviour in Image Sequences

The Video-Hermeneutic Challenge

Cognitive Ontologies

Mapping Structure and Function of the Brain from a Systemic View

Coordinating with the Future

the Anticipatory Nature of Representation

Communication and Distributed Control in Multi-Agent Systems

Preliminary Model of Micro-unmanned Aerial Vehicle (MAV) Swarms

Enactive Artificial Intelligence

CoEvolutionary Approaches in Cognitive Robotic Systems Design

Action Selection for Intelligent Systems

Journals

IEEE Transactions on Cognitive and Developmental Systems

Cognitive Systems Research

Biologically Inspired Cognitive Architectures

Cognitive Computation and Systems

Books

The AICOR Interactive and Immersive Textbook

The “AI-powered and Cognition-enabled Robotics” textbook represents a novel approach to education in the field of cognitive robotics. This interactive textbook is designed to offer an immersive learning experience, uniquely combining theoretical knowledge with practical application.

Cognitive Robotics

Cangelosi, A. and Asada, M. (2021), Eds. MIT Press

Encyclopedia of Robotics

Ang, M., Khatib, O., Siciliano, B. (Eds.), Springer, Berlin, Heidelberg

Cognitive Architectures

by M. Ferreira, J. Sequeira, and R. Ventura (Eds.)

Modelling Human Motion. From Human Perception to Robot Design

by Nicoletta Noceti, Alessandra Sciutti and Francesco Rea (Eds.) Springer International Publishing

Workshops and Colloquia

TransAIR Virtual Workshop on Cognitive Architectures for Robot Agents

Current Capabilities, Future Enhancements, and Prospects for Collaborative Development held on 22nd – 28th March, 2021

Videos of all talks

International Foundation for Robotics Research Colloquium on Cognitive Robotics

8 October 2020; website

International Foundation for Robotics Research Colloquium on Cognitive Robotics

8 October 2020; video proceedings

AIC - Artificial Intelligence and Cognition International Workshop Series

Software Resources

openEASE

Open Knowledge for AI-Enabled Robots

CRAM

Cognitive Robot Abstract Machine

KnowRob

Knowledge Processing for Robots

The CLARION Cognitive Architecture Project

BECCA

Brain-Emulating Cognition and Control Architecture

AKIRA

C++ development framework to build cognitive architectures and complex artificial intelligent agents

AmonI

Artificial Models of Natural Intelligence

CAST

The CoSy Architecture Schema Toolkit

YARP

Yet Another Robot Platform

ROS

Robot Operating Systems

Teaching Resources

Videos
Elizabeth Spelke’s talk on ”Core Knowledge of Number and Geometry” at the inaugural meeting of euCognition in 2006
Trailer for The Age of Robots from Massimo Brega
Keynote Talks at the IEEE International Conference on Cognitive Development (ICDL) 2022 – London, UK

Tutorials
Tutorial on Embodiment
Control engineering of autonomous cognitive vehicles – a practical tutorial
The dynamic neural field approach to cognitive robotics
Neuronal Dynamics Approaches to Cognitive Robotic

Model Curricula
euCognition Cognitive Systems Model Curriculum
University of Skövde MSc in Cognitive Systems Model Curriculu

Courses
Introduction to Cognitive Robotics (Alpha version; Beta version ~1/10/2020; Final version ~1/1/2021)
Artificial Cognitive Systems; teaching material for Artificial Cognitive Systems – A Primer MIT Press, 2014; click here for additional support material
Cognitive Computer Vision

Degrees in Cognitive Systems

The following is a sample of the Master-level degrees that are available in cognitive systems.

University of Skövde, Human-Robot Interaction
University of Birmingham Computational Neuroscience and Cognitive Robotics
Universitat Pompeu Fabra, Spain Interdisciplinary Master in Cognitive Systems and Interactive Media (60 ECTS)
Technical University of Munich Robotics, Cognition, and Intelligence
University of Warwick M.Sc. in Cognitive Systems
University of Zurich Master of Science in Informatics: Field of study Multimodal and Cognitive Systems
Jacobs University, Germany Cognitive Systems and Processes

Robots

IEEE Guide to the World of Robots

robots.ieee.org

Technical Committee Triennial Reports and Presentations

IEEE RAS TC for Cognitive Robotics Triennial Report 2016

IEEE RAS TC for Cognitive Robotics Triennial Report 2019

IEEE RAS TC for Cognitive Robotics Triennial Report 2022

Here you can also find a short presentation for IROS 2022

This is a single slide

that you can use to disseminate about IEEE RAS TC-CORO mission