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- 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).
cst-tutorial-babybot
PublicThis 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).- Evaluating quality of data augmentation using CARLA and SUMO driving simulators for classifying normal and aggressive behaviors of UAH-driveset.
synth-imu-eval
Publiccst-incremental-babybot
PublicRepository 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)sensor-toolkit
Publicsumo_data_synthesis
PublicRepo for trying out SUMOsumo_carla_comparison
PublicRepository to compare the quality of data generated from CARLA and SUMO simulators against real data from the UAH-DRIVESET-v1.github
PublicHIAAC-Index
PublicCPC-HAR
PublicGithub-Index
PublicCST-Python
Publiccst-episode-idea
PublicThis repo contains the code for running the experiments presented in the article "Representing Episodes: Space-Time Experiences for Cognitive Architectures", published at "2025 Annual International Conference on Biologically Inspired Cognitive Architectures".CST-RL
Publiccarla-synthesis
PublicFace-animation-project
Publicd3vis_ipynb
PublicRepoOrganizer
PublicMETA2
PublicDAGHAR
Publicdata_collection_server
Publicviewer_tool_jupyter
PublicEpisodicMemoryAgent
PublicML-HAR
PublicELD_GEN_EVAL
PublicKR-Papers-Artifacts
PublicTFC-HAR
Public