There are 4 repositories under cognitive-robotics topic.
Reinforcement Learning framework for Robotics
This repository is a new wearable biosensors package for ROS2-Foxy. The ultimate goal of this repo is to expand the biosensors ecosystem in the Human-Robot Interaction (HRI) field. The package currently supports six wearable biosensors that can be used in HRI researches without behavioral constraints caused by limited hardware specifications (e.g., wired devices). We will keep updating this GitHub to support various wearable sensors on ROS 2 system. If you are interested in this project, please contact us.
Public knowledge, help, code, contributions and projects about how to work with Softbank Robotics' Pepper robot model
Angular JS K9 robot controller, designed primarily for use on a iPad or Android touch device as a virtual joystick. Also visualizes the robot's surroundings using camera and sensor data.
Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.
quantum-robot: Quantum-Like perception modelling in Python
Python for Cognitive Robotics mind map
State Estimation of an Agent using Observations | AI for Cognitive Robot Intelligence(COL864) @ IIT Delhi
ROS implementation of shopping bot manager on Pepper. This is for an university project.
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
Supplementary material for the paper "Commonsense Knowledge in Cognitive Robotics: A Systematic Literature Review"
A Trees on Manifolds approach to N-Gram predictors on Monte Carlo Geometric Parsings of Dirichlet Domains
An innovative multi-task neural architecture suitable for face analysis and the consequent identification of gender, age, ethnicity and emotion. A network capable of the performance of the state of the art of single-task networks by sharing the feature extraction part. It may be suitable for robotic applications: it requires time and memory in the order of a single-task network.
This repository provides the content of the ICDL tutorial, we use a Docker-based environment to integrate infant behavior models using the CST (Cognitive System Toolkit). Tutorial presented at the ICDL (International Conference on Development and Learning).
PhD project repository. CogScore - An Online Evaluation Playground For Cognitive Architectures With Developmental Robotics. This work aims to present a general framework for the automated evaluation of different levels of diverse cognitive capabilities of cognitive architectures.
Code for Special Issue on “Cognitive architectures for Reinforcement Learning”, Cognitive Systems Research
Reinforcement Learning in the Lego Mindstorms NXT Robot
Repository for the code of the work "Where Are My Toys Going? Exploring Incremental Learning in Object Tracking and Object Permanence" submitted to IEEE International Conference on Development and Learning (ICDL-2025)
dynamic-neural-field-degeneration is a framework designed to simulate and study the effects of artificial neural degeneration on Dynamic Neural Field (DNF) models. This work explores the resilience and adaptability of DNFs, specifically in the context of cognitive behavior in robotic systems.
This repository composes the modules available for an attentional system based on the selection model for perception proposed by Colombini (2016). The modules were implemented with CST.
Implementation of causal experiments
PhD project page. CogScore - An Online Evaluation Playground For Cognitive Architectures With Developmental Robotics. This work aims to present a general framework for the automated evaluation of different levels of diverse cognitive capabilities of cognitive architectures.
This repository contains the implementation, data-generation pipelines, and trained behavior-cloning models for a kitchen pick-and-place task using IsaacLab. Task: a Franka Emika manipulator picks a tomato soup can (container) from inside a fridge and places it inside the microwave cavity.
Behavioural and Cognitive Robotics
Code for the DeCIFER project, implementing a robotic collaborative intelligence through intention reading and trust estimation.
Python 3 robot that gets sensor data from V-REP simulator and takes decisions by making queries to a SWI-Prolog program.
This website provides information about a and reproducible Docker-based environment for training and integrating infant behavior models using the CST (Cognitive System Toolkit). It was developed as part of a tutorial presented at the ICDL (International Conference on Development and Learning).
Cognibot explores how robots can achieve more natural behavior by unifying perception and action—the same neural codes that help you see a door handle also prepare your hand to reach for it. Can we build robots that work the same way?