Publications and talks

Journal publications

1. M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, “Learning-Based Personalisation of Robot Behaviour for Robot-Assisted Therapy,” Frontiers in Robotics and AI, vol. 11, Mar. 2024. [paper]
2. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “A Hybrid Skill Parameterisation Model Combining Symbolic and Subsymbolic Elements for Introspective Robots,” Robotics and Autonomous Systems, Special Issue on Semantic Policy and Action Representations for Autonomous Robots (SPAR), vol. 161, p. 104350, Mar. 2023. [paper]

Conference publications

1. E. Sharma, C. Henke, A. Mitrevski, and P. G. Plöger, “Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting” in Proceedings of the European Conference on Mobile Robots (ECMR), 2023, pp. 1-7. [paper] [accompanying video]
2. N. Quiroga, A. Mitrevski, and P. G. Plöger, “A Study of Demonstration-Based Learning of Upper-Body Motions in the Context of Robot-Assisted Therapy,” in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 2569-2576. [paper] [video presentation] [code] [data]
3. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “Ontology-Assisted Generalisation of Robot Action Execution Knowledge,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 6763-6770. [paper] [accompanying video] [video presentation] [code]
4. S. O. Sohail, A. Mitrevski, N. Hochgeschwender, and P. G. Plöger, “Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation,” in Proceedings of the European Conference on Mobile Robots (ECMR), 2021, pp. 1-7. [paper] [accompanying video] [video presentation]
5. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 11025-11031. [paper] [accompanying video] [video presentation] [code]
6. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “Representation and Experience-Based Learning of Explainable Models for Robot Action Execution,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 5641-5647. Winner of the “Best Paper Award on Cognitive Robotics”. [paper] [accompanying video] [video presentation] [code]
7. A. F. Abdelrahman, A. Mitrevski, and P. G. Plöger, “Context-Aware Task Execution Using Apprenticeship Learning,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 1329-1335, 2020. [paper] [accompanying video] [video presentation]
8. A. Mitrevski, A. Padalkar, M. Nguyen, and P. G. Plöger, ““Lucy, Take the Noodle Box!”: Domestic Object Manipulation Using Movement Primitives and Whole Body Motion,” in Proceedings of the 23rd RoboCup International Symposium, Sydney, Australia, 2019. [paper] [paper poster]
9. A. Mitrevski and P. G. Plöger, “Reusable Specification of State Machines for Rapid Robot Functionality Prototyping,” in Proceedings of the 23rd RoboCup International Symposium, Sydney, Australia, 2019. Finalist for the “Best Engineering Paper Award”. [paper] [paper poster]
10. E. J. Romero Kramer, A. Ortega Sáinz, A. Mitrevski, and P. G. Plöger, “Tell Your Robot What To Do: Evaluation of Natural Language Models for Robot Command Processing,” in Proceedings of the 23rd RoboCup International Symposium, Sidney, Australia, 2019. [paper] [paper poster]
11. A. Mitrevski, A. Kuestenmacher, S. Thoduka and P. G. Plöger, “Improving the Reliability of Service Robots in the Presence of External Faults by Learning Action Execution Models”, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4256-4263, 2017. [paper] [pitch slides] [detailed slides]

Workshop publications

1. M. Bühren, K. Szmyt, A. Mitrevski, M. Stolarz, N. Quiroga, L. Epping, D. Balcheva, J. Schanowski, P. G. Plöger, and H. R. Röttgers, “Assistenzrobotik für Verhaltenstherapeutische Förderprogramme: Möglichkeiten und Limitierungen,” in Wissenschaftliche Tagung Autismus-Spektrum (WTAS), Mar. 2024. Extended abstract.
2. M. Bühren, L. Habermann, L. Epping, J. Schanowski, A. Mitrevski, M. Stolarz, J. Krajewski, P. G. Plöger, and H. R. Röttgers, “Entwicklung eines Assistenzroboters zur Unterstützung verhaltenstherapeutischer Interventionsprogramme autistischer Kinder: Lerndatenerhebung zur Entwicklung von Coping Reaktionen für ein KI-basiertes Zustandserkennungssystem auf der Basis von Blickrichtung und Gesichtsmerkmalen,” in Wissenschaftliche Tagung Autismus-Spektrum (WTAS), Mar. 2023. Extended abstract.
3. N. Quiroga, A. Mitrevski, and P. G. Plöger, “Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy,” in RO-MAN Workshop on Behavior Adaptation and Learning for Assistive Robotics (BAILAR), 2022. [paper]
4. M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, “Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the Context of Autism Spectrum Disorder,” in RO-MAN Workshop on Behavior Adaptation and Learning for Assistive Robotics (BAILAR), 2022. [paper]
5. M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, “Personalized Behaviour Models: A Survey Focusing on Autism Therapy Applications,” in HRI Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI), 2022. [paper]
6. M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, “Personalised Behaviour Model for Autism Therapy,” in ICRS Workshop on Social AI for Human-Robot Interaction of Human-Care Robots, 2021. [extended abstract]
7. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “Hybrid Execution Models of Parameterised Actions for Explainable and Diagnosable Robot Action Execution,” in 5th Workshop on Semantic Policy and Action Representations for Autonomous Robots (SPAR) at IROS, 2021. [extended abstract] [poster]
8. A. Mitrevski and P. G. Plöger, “Lack of Understanding of Objects as a Cause of Manipulation Failures,” in IROS Workshop on Why Robots fail to grasp? - Failure Ca(u)ses in Robot Grasping and Manipulation, 2020. [poster]
9. A. Mitrevski, A. F. Abdelrahman, A. Narasimamurthy, and P. G. Plöger, “On the Diagnosability of Actions Performed by Contemporary Robotic Systems”, in 31th International Workshop on Principles of Diagnosis (DX), 2020. [paper] [slides]
10. A. Mitrevski and P. G. Plöger, “Data-Driven Robot Fault Detection and Diagnosis Using Generative Models: A Modified SFDD Algorithm”, in 30th International Workshop on Principles of Diagnosis (DX), Klagenfurt, Austria, 2019. [paper] [paper poster] [code]
11. A. Mitrevski, S. Thoduka, A. Ortega Sáinz, M. Schöbel, P. Nagel, P. G. Plöger, and E. Prassler, “Deploying Robots in Everyday Environments: Towards Dependable and Practical Robotic Systems,” in 29th International Workshop on Principles of Diagnosis (DX), Warsaw, Poland, 2018. [paper] [paper poster] [supplementary paper poster]

Technical reports

1. A. Mitrevski, “Skill generalisation and experience acquisition for predicting and avoiding execution failures,” Ph.D. dissertation, Department of Computer Science, RWTH Aachen University, 2023. [report]

Talks

1. A. Mitrevski, “Of Robots and People: A Journey in Robotics and Academic Research,” in b-it Alumni Lecture Series, Winter Semester 2023/2024, Jan. 2024.
2. A. Mitrevski, “Representing and Learning Skills for Failure-Aware Robots,” in Lecture Series on Advanced Topics in Artificial Intelligence and Robotics, Hochschule Bonn-Rhein-Sieg, Oct. 2022.
3. A. Mitrevski, “Execution Failures and Learning-Based Robots: (How) Can Robots Analyse Their Own Failures?” in ICRA Workshop on the Verification of Autonomous Systems (VAS), Safety for Learning-Enabled Autonomous Systems session panelist, May 2022.
4. A. Mitrevski, P. G. Plöger, and G. Lakemeyer, “Skill Generalisation and Experience Acquisition for Predicting and Avoiding Robot Execution Failures,” in DGR Days at the KIT Science Week, Oct. 2021.
5. A. Mitrevski, “b-it-bots@Home at RoboCup 2021: A Post-Mortem Analysis,” in 8th HSR EU Community Webinar, July 2021.
6. A. Mitrevski, “Learning for Avoiding and Analysing Robot Execution Failures,” in 6th HSR EU Community Webinar, May 2021.
7. A. Mitrevski, S. Thoduka, P. G. Plöger, and E. Prassler, ““Analysis mode!”: Robot (remote) monitoring, inspection, and diagnosis as prerequisites for deploying robots to everyday environments,” in IROS Workshop on Robotics for logistics in warehouses and environments shared with humans, 2018. [slides]

RoboCup team description papers

1. A. Mitrevski, A. Abdelrahman, M. Al-Helali, S. Chavan, M. Nguyen, P. G. Plöger, and A. Prabhu, “The b-it-bots@Home 2022 Team Description Paper: DSPL Simulation,” in RoboCup, Bangkok, Thailand, 2022. [paper]
2. A. Mitreski, A. Ortega Sáinz, P. Nagel, A. Abdelrahman, I. Awaad, R. Cai Wu, R. Haseloff, M. Nguyen, P. G. Plöger, E. Romero Kramer, H. Schnor, and M. Schöbel, “The b-it-bots RoboCup@Home 2020 Team Description Paper,” in RoboCup, Bordeaux, France, 2020. [paper]
3. A. Mitreski, A. Ortega Sáinz, P. Nagel, M. Schöbel, M. Nguyen, R. Cai Wu, R. Haseloff, P. G. Plöger, and G. Kraetzschmar, “The b-it-bots RoboCup@Home 2019 Team Description Paper,” in RoboCup, Sydney, Australia, 2019. [paper]
4. A. Mitreski, A. Ortega Sáinz, P. Nagel, M. Schöbel, M. Nguyen, R. Wu, R. Haseloff, G. Cortés, I. Vishniaku, J. C. Mayoral Baños, P. Plöger, and G. Kraetzschmar, “The b-it-bots RoboCup@Home 2018 Team Description Paper,” in RoboCup, Montreal, Canada, 2018. [paper]