Publications

[1]   Kyrarini, M., Kodur, K., Zand, M., Tella, H. (2024). Speech-Based Communication for Human-Robot Collaboration: Evaluation Studies. In: Vinjamuri, R. (eds) Discovering the Frontiers of Human-Robot Interaction. Springer, Cham. https://doi.org/10.1007/978-3-031-66656-8_2

[12] Talha M., Kyrarini M., Buriro E.A., 2023. A Survey of the Diagnosis of Peripheral Neuropathy Using Intelligent and Wearable Systems. Technologies 2023, 11(6), 163. doi: 10.3390/technologies11060163 [Impact Factor: 3.6, Citescore: 5.5]

[11] Kodur K.,  Kyrarini M., 2023. Patient–Robot Co-Navigation of Crowded Hospital Environments. Applied Science 2023, 13(7), 4576. doi: 10.3390/app13074576 [Impact Factor: 2.7, Citescore: 4.5]

[10] Nambiappan H.R., Arboleda S.A., Lundberg C.L.,  Kyrarini M., Makedon F., Gans N., 2022. MINA: A Robotic Assistant for Hospital Fetching Tasks. Technologies 2022, 10(2), 41. doi: 10.3390/technologies10020041  [Impact Factor: 3.6, Citescore: 5.5] 

[9]   Kyrarini M., Lygerakis F., Rajavenkatanarayanan A., Sevastopoulos C., Nambiappan H.R., Chaitanya K.K., Babu A.R., Mathew J., Makedon F., 2021. A Survey of Robots in Healthcare. Technologies 2021, 9(1), 8. doi: 10.3390/technologies9010008 [Technologies 2023 Best Paper]

[8]  Banerjee D., Kyrarini M., Kim W.H., 2021.  Image-Label Recovery on Fashion Data Using Image Similarity from Triple Siamese Network. Technologies 2021, 9(1),10. doi: 10.3390/technologies9010010

[7]  Kumar Shastha T., Kyrarini M., Gräser A., 2020. Application of Reinforcement Learning to a Robotic Drinking Assistant. Robotics 2020, 9(1), 1. doi: 10.3390/robotics9010001

[6]  Basco M.R., Kyrarini M., Makedon F., 2020. Personal Devices and Smartphone Applications for Detection of Depression. Psychiatric Annals, 50(6), pp. 255-259. doi: 10.3928/00485713-20200505-01 

[5]   Kyrarini M., Haseeb M.A., Ristić-Durrant D., Gräser A., 2019. Robot Learning of Industrial Assembly Task via Human Demonstrations. Autonomous Robots, 43(1), pp. 239-257. doi: 10.1007/s10514-018-9725-6 

[4]   Tsiakas K., Kyrarini M., Karkaletsis V., Makedon F., Korn O., 2018. A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges.  Technologies 2018, 6(4), 119. MDPI.  doi:  10.3390/technologies6040119  

[3]   Kyrarini M., Haseeb M.A., Ristić-Durrant D., Gräser A., 2017. Robot Learning of Object Manipulation Task Actions from Human Demonstrations. Facta Universitatis, series: Mechanical Engineering (FU Mech Eng), 15(2), pp. 217-229. doi: 10.22190/FUME170515010K

[2]   Kyrarini M.,  Leu A.,  Ristić-Durrant D., Gräser A.,  Jackowski A., Gebhard M., Nelles J., Bröhl C., Brandl C., Mertens A., Schlick C. M., 2016. Human-Robot Synergy for cooperative robots.  Facta Universitatis, series: Autonomic Control and Robotics, 15(3), pp. 187-204. doi: 10.22190/FUACR1603187K 

[1]   Kyrarini M., Slavnić S., Ristić-Durrant D., 2014. Fuzzy controller for the control of the mobile platform of the CORBYS robotic gait rehabilitation system. Facta Universitatis, series: Mechanical Engineering (FU Mech Eng), 12(3), pp. 223-234.  Online

[41] Vora H., Kakhki F.D., Moghadam A., and Kyrarini M., 2024. Musculoskeletal Risk Modeling Using Sensors and Machine Learning. In 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 232-236, doi: 10.1109/IEEM62345.2024.10857250

[40] Tognotti M., and Kyrarini M., 2024.  Are you Ready? an Intelligent Robotic Assistant for Instrumental Activities of Daily Living. In 2024 Eighth IEEE International Conference on Robotic Computing (IRC),  pp. 249-252, doi: 10.1109/IRC63610.2024.00038

[39] Megyeri A., Wiederhold N., Kyrarini M., Banerjee S., and Banerjee N.K., 2024. GraspPC: Generating Diverse Hand Grasp Point Clouds on Objects. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), pp. 131-138, doi: 10.1109/RO-MAN60168.2024.10731400

[38] Megyeri A., Banerjee S., Kyrarini Μ., and Banerjee N. K., 2024. Using Human-Human Handover Data to Analyze Giver and Receiver Timing Relationships During the Pre-Handover Phase. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), pp. 999-1004, doi: 10.1109/RO-MAN60168.2024.10731243

[37] Zand M., Kodur K., Banerjee S., Banerjee N.,  and Kyrarini M., 2024.  Examining Diverse Gender Dynamics in Human-Robot Interaction: Trust Privacy and Safety Perceptions. In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), pp. 74-79. ACM. doi: 10.1145/3652037.3652078 [Best Student Paper Award]

[36] Kodur K., Zand M., Tognotti M. and Kyrarini M., 2024.  Translucent Object Grasping Using Robot Vision. In 10th International Conference on Automation, Robotics and Applications (ICARA), pp. 107-111,  IEEE. doi: 10.1109/ICARA60736.2024.10552988

[35] Duver M., Wiederhold N., Kyrarini M., Banerjee, S. and Banerjee, N.K., 2024. VR-Hand-in-Hand: Using Virtual Reality (VR) Hand Tracking For Hand-Object Data Annotation. In 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), pp. 325-329. IEEE. doi: 10.1109/AIxVR59861.2024.00055 [Best Demo Paper Award]

[34] Kyrarini M., Zand M., and Kodur K.,  2023. Assistive Robots for Persons with Visual Impairments: Current Research and Open Challenges.  In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 413-415. ACM. doi: 10.1145/3594806.3596593 

[33] Zand M., Ayoola J., Tuli R., Kalra A., Quach J., and Kyrarini M.,  2023. TalkConnect: A Mobile Networking App for People with Visual Impairments Attending In-person Formal Events.  In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 6-9. ACM. doi: 10.1145/3594806.3594831 

[32] Kodur K., Zand M., and  Kyrarini M.,  2023. Towards Robot Learning from Spoken Language. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’23 Companion), pp. 112-116. ACM. doi: 10.1145/3568294.3580053

[31] Zand M.,  Kodur K.,  and  Kyrarini M.,  2023. Automatic Generation of Robot Actions for Collaborative Tasks from Speech.  2023 9th International Conference on Automation, Robotics and Applications (ICARA), pp. 155-159. IEEE. doi: 10.1109/ICARA56516.2023.10125800

[30] Zand M. and Kyrarini M., 2022. Sensing Visual Art by Relatable Music and Haptic Feedback for Individuals with Visual Impairments. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 310-311. ACM. doi: 10.1145/3529190.3534785 

[29] Talha M., Soomro H.A., Naeem N., Ali E. and Kyrarini M., 2022. Human Identification Using a Smartphone Motion Sensor and Gait Analysis. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 197-202. ACM. doi: 10.1145/3529190.3529199 

[28] Kodur K.C., Rajpathak K., Rajavenkatanarayanan A., Kyrarini M., Makedon F., 2021. Towards a Multi-purpose Robotic Nursing Assistant. In ICRA 2021 Workshop on No-Touch Care for Worker Safety During Pandemic Response. Online

[27] Theofanidis  M., Bozcuoğlu A.K., Neumann M., Cloud J., Kyrarini M., Makedon F., and Beetz M., 2021. Learning Visuomotor Policies with Deep Movement Primitives. In The 14th Pervasive Technologies Related to Assistive Environments Conference (PETRA 2021), pp. 140-146. ACM. doi: 10.1145/3453892.3453899      [Best Technical Paper Award]

[26] Zaki Zadeh M., Ramesh Babu A., Jaiswal A., Kyrarini M., and Makedon F., 2021. Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021), pp. 171-176. ACM. doi: 10.1145/3453892.3453893 

[25] Zaki Zadeh M., Ramesh Babu A., Jaiswal A., Kyrarini M., Bell M., and Makedon F., 2021. Automated system to measure Tandem Gait to assess executive functions in children. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021), pp. 167-170. ACM. doi: 10.1145/3453892.3453999 

[24] Nambiappan H.R., Kodur K.C., Kyrarini M., Gans N., and Makedon F., 2021. MINA: A Multitasking Intelligent Nurse Aid Robot. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021), pp. 266-267. ACM.  doi: 10.1145/3453892.3461010   [Best Poster Paper Award]

[23] Rajpathak K., Kodur K.C., Kyrarini M., and Makedon F., 2021. End-User Framework for Robot Control. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021), pp. 109-110. ACM. (Demo Paper) doi: 10.1145/3453892.3464894 

[22] Ramesh Babu A., Zaki Zadeh M., Jaiswal A., Lueckenhoff A., Kyrarini M., Makedon F., 2020. A Multi-modal System to Assess Cognition in Children from their Physical Movements. In Proceedings of the 2020 International Conference on Multimodal Interaction (ICMI '20), pp. 6–14. ACM. doi: 10.1145/3382507.3418829

[21] Rajavenkatanarayanan A.*, Nambiappan H.R.*, Kyrarini M.*, Makedon F., 2020. Towards a Real-Time Cognitive Load Assessment System for Industrial Human-Robot Cooperation. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 698-705. IEEE. *Equal Contribution. doi: 10.1109/RO-MAN47096.2020.9223531

[20] Kanal V., Miller A., Vester D., Liller J., Kyrarini M., Wylie G., Falvo M.J., Makedon F., 2020. PNEUMON: A DDDAS Framework to Detect Fatigue and Dyspnea in COPD. In International Conference on Dynamic Data Driven Application Systems, pp. 345-352. Springer, Cham. doi: 10.1007/978-3-030-61725-7_40

[19]   Rajavenkatanarayanan A., Kanal V., Kyrarini M., Makedon F., 2020. Cognitive Performance Assessment based on Everyday Activities for Human-Robot Interaction. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), pp. 398–400.  doi: 10.1145/3371382.3378384     [Video Presentation Available]

[18] Lueckenhoff A., Wessels C., Kyrarini M., Makedon F., 2020. Towards Game-based Assessment of Executive Functions in Children. In SETN 2020 Hellenic Conference on Artificial Intelligence Workshop – Games and AI, Athens, Greece. Online. 

[17]   Farahanipad F. *, Nambiappan H.R. *, Jaiswal A., Kyrarini M., Makedon F., 2020. HAND-REHA: dynamic hand gesture recognition for game-based wrist rehabilitation. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’20). ACM. doi: 10.1145/3389189.3392608  *Equal contribution

[16]   Ganesh P., Idgahi R.E., Venkatesh C.B., Babu A.R., Kyrarini M., 2020. Personalized system for human gym activity recognition using an RGB camera. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’20). ACM. doi: 10.1145/3389189.3392611

[15]   Zadeh M.Z., Babu A.R., Lim J.B., Kyrarini M., Wylie G., Makedon F., 2020. Towards cognitive fatigue detection from functional magnetic resonance imaging data. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’20). ACM. doi: 10.1145/3389189.3397648    

[14]   Kanal V., Brady J., Nambiappan H., Kyrarini M., Wylie G., Makedon F., 2020. Towards a serious game based human-robot framework for fatigue assessment. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’20). ACM. doi: 10.1145/3389189.3398744

[13]   Kyrarini M., Zheng Q., Haseeb M.A, Gräser A., 2019. Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface.  In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, pp. 1139-1146. IEEE. doi: 10.1109/ICORR.2019.8779379 

[12]   Goldau F.F., Shastha, T.K., Kyrarini M., Gräser A., 2019.  Autonomous Multi-Sensory Robotic Assistant for a Drinking Task.  In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, pp. 210-216. IEEE. doi: 10.1109/ICORR.2019.8779521 

[11]   Koller T.L., Kyrarini M., Gräser A., 2019.  Towards robotic drinking assistance: Low cost multi-sensor system to limit forces in Human-Robot-Interaction. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’19) , Rhodes Greece, pp. 243-246. ACM. doi: 10.1145/3316782.3321539 

[10]   Guan J., Kyrarini M., Haseeb M.A, Ristic-Durrant D., Gräser A., 2018. Safety Surveillance System for Co-operative Robot using 360-Degree Camera.  In XIV International SAUM Conference on Systems, Automatic Control and Measurements, Niš, Serbia. Online

[9]   Haseeb M.A, Kyrarini M., Jiang S., Ristic-Durrant D., Gräser A., 2018. Head Gesture-based Control for Assistive Robots.  In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA ’18), Corfu Greece, pp. 379-383. ACM. doi: 10.1145/3197768.3201574   

[8]   Fang Q., Kyrarini M., Ristic-Durrant D., Gräser A., 2018. RGB-D Camera based 3D Human Mouth Detection and Tracking Towards Robotic Feeding Assistance. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA ’18), Corfu Greece,  pp. 391-396. ACM. doi: 10.1145/3197768.3201576 

[7]   Kyrarini M., Gräser A., 2017. Selection of Human Demonstrations for Robot Learning of Industrial Scenario. In 2017 IEEE/RSJ IROS WORKSHOP Human in-the-loop robotic manipulation: on the influence of the human role, Vancouver, Canada (2-pages extended abstract). Online 

[6]   Kyrarini M., Naeem S., Wang X., Gräser A., 2017. Skill Robot Library: Intelligent Path Planning Framework for Object Manipulation. In 25th European Signal Processing Conference (EUSIPCO 2017), Kos island, pp.2398 – 2402. IEEE. doi: 10.23919/EUSIPCO.2017.8081640 

[5]   Jiang S., Wang X.,  Kyrarini M.,  Gräser A., 2017. A Robust Algorithm for Gait Cycle Segmentation. In 25th European Signal Processing Conference (EUSIPCO 2017), Kos island, pp. 31 – 35.  IEEE. doi: 10.23919/EUSIPCO.2017.8081163 

[4]   Kyrarini M., Gräser A., 2017. Learning robot manipulation tasks from human demonstrations. 51. Regelungstechnisches Kolloquium in Boppard, Boppard, Germany (2-pages extended abstract). Online

[3]   Gao G., Kyrarini M., Razavi M., Wang X., Gräser A., 2016. Comparison of Dynamic Vision Sensor-based and IMU-based Systems for Ankle Joint Angle Gait Analysis. In 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP 2016), pp. 93-98. IEEE. doi: 10.1109/ICFSP.2016.7802963 

[2]   Wang X., Kyrarini M., Ristić-Durrant D., Spranger M.,  Gräser A., 2016. Monitoring of Gait Performance Using Dynamic Time Warping on IMU-Sensor Data. In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6. IEEE. doi: 10.1109/MeMeA.2016.7533745 

[1]   Kyrarini M., Wang X., Gräser A., 2015. Comparison of vision-based and sensor-based Systems for Joint Angle Gait Analysis. In 2015 IEEE International Symposium on Medical Measurements and Applications, pp. 375-379, IEEE. doi: 10.1109/MeMeA.2015.7145231 

2019

[1]   Kyrarini M., 2019. Robot Learning from Human Demonstrations for Human-Robot Synergy.   Universität Bremen: Physik/Elektrotechnik.  Online

2018

[1]   Gräser A., Kyrarini M., Haseeb M.A, 2018. MeRoSy - Mensch-Roboter Synergie - Lernen und Adaption in der Mensch Roboter Evolution : Schlussbericht zum BMBF-Verbundvorhaben : Teilvorhaben: Erforschung von Methoden zur automatischen Optimierung des Systemverhaltens auf Basis von korrigierenden Nutzereingriffen : Laufzeit des Vorhabens: 01.01.2015-30.06.2018.   Universität Bremen, Institut für Automatisierungstechnik. Contact number: 16SV7187K, 01158324.   doi: 10.2314/KXP:1666814970 [in German]