Scientific publications
In this page you will find the scientific publications related to the ACROBA project published by the project partners
Journal papers
- RTMN 2.0—An Extension of Robot Task Modeling and Notation (RTMN) Focused on Human–Robot Collaboration
- ORPP – An Ontology for Skill-based Robotic Process Planning in Agile Manufacturing
- Multi Actor-Critic for Robot Action Space Decomposition:A Framework to Control Large 3D Deformation of Soft Linear Objects
- Collaborating for Success: Optimizing System Efficiency and Resilience under Industrial Settings
- Adaptive Robot Behavior Based on Human Comfort Using Reinforcement Learning
- Enhancing Robot Behavior with EEG, Reinforcement Learning and Beyond: A Review of Techniques in Collaborative Robotics
Conference papers
- Simulation based initial feasibility analysis pipeline for small-sized part picking, CEIG 2022
- Behavior Trees based Flexible Task Planner Built on ROS2 Framework, ETFA 2022
- On the creation of a robotics software architecture for AI-based advanced applications, ETFA 2022
- Computational ethology-based human behaviour modelling: first investigation for Human-Robot Collaboration
- A method for multi-robot arm system implementation using the ROS framework, ICMECE 2022
- On selecting optimal hyperparameters for Reinforcement Learning based robotics applications. A practical approach. ICINCO 2023
- Robotic Process Automation with Ontology-enabled Skill-based Robot Task Model and Notation (RTMN), IEEE RAAI 2022
- Robot Controller Parameter Identification for Simulated Environment, AIRC 2023
- Acroba Gym: A Unity-based ROS compliant simulator for robotics, ERF 2024
- An Approach for Individual Behavior Labeling in Industrial Assembly
- Capturing and Modelling Variety of Human-Robot Interactions at Complex Production Workplaces, CIRP CMS 2024
Book chapters
- Machine Intelligence for Agile Manufacturing
- High Fidelity Digital Twining of Agile Manufacturing Scenarios
PhD thesis
- Detection, Analysis, and Prediction of Human-Robot Interactions at Complex Production Workplaces, Aaron Heuermann
- Process oriented ontology based robotic task planning and modeling, Congyu Zhang Sprenger
- An approach for designing real-world cognitive robotics solutions using deep reinforcement learning, Ignacio Fidalgo-Astorquia
- Reinforcement Learning in Collaborative Robotics: a Study on the Influence of Human Parameters in Robotic Skill Development, Asier Gonzalez-Santocildes