Mõtshärg, E., Vunder, V., Raudmäe, R., Muro, M., Drikkit, I., Tšigrinski, L., Köidam, R., Aabloo, A., Kruusamäe, K., 2024. Robotont 3 – an accessible 3D-printable ROS-supported open-source mobile robot for education and research. Frontiers in Robotics and AI, 11. doi.org/10.3389/frobt.2024.1406645
Raudmäe, R., Schumann, S., Vunder, V., Oidekivi, M., Nigol, M.K., Valner, R., Masnavi, H., Singh, A.K., Aabloo, A. and Kruusamäe, K., 2023. ROBOTONT–Open-source and ROS-supported omnidirectional mobile robot for education and research. HardwareX, 14, p.e00436. doi.org/10.1016/j.ohx.2023.e00436
Research papers that leverage the Robotont platform
Krūmiņš, D., Schumann, S., Vunder, V., Põlluäär, R., Laht, K., Raudmäe, R., Aabloo, A. and Kruusamäe, K., 2024. Open remote web lab for learning robotics and ROS with physical and simulated robots in an authentic developer environment. IEEE Transactions on Learning Technologies, 17, p.1325 – 1338. doi.org/10.1109/TLT.2024.3381858
Raudmäe, R., Vunder, V., Kandlhofer, M., Breiling, B., Sumper-Sabitzer, M., Mõtshärg, E., Schumann, S., Kruusamäe, K., 2024. Open Source and Portable Educational Kits for Enabling Robotics Education. In: Balogh, R., Obdržálek, D., Fislake, M. (eds) Robotics in Education. RiE 2024. Lecture Notes in Networks and Systems , vol 1084. Springer, Cham. doi.org/10.1007/978-3-031-67059-6_24
Masnavi, H., Shrestha, J., Kruusamäe, K. and Singh, A.K., 2023. VACNA: Visibility-Aware Cooperative Navigation with Application in Inventory Management. IEEE Robotics and Automation Letters 8, pp.7114 – 7121. doi.org/10.1109/LRA.2023.3312969
Schumann, S., Krūmiņš, D., Vunder, V., Aabloo, A., Siiman, L.A. and Kruusamäe, K., 2023, April. A Beginner-Level MOOC on ROS Robotics Leveraging a Remote Web Lab for Programming Physical Robots. In International Conference on Robotics in Education (RiE) (pp. 285-297). Cham: Springer Nature Switzerland. doi.org/10.1007/978-3-031-38454-7_24
Valner, R., Vunder, V., Aabloo, A., Pryor, M. and Kruusamäe, K., 2022. TeMoto: a software framework for adaptive and dependable robotic autonomy with dynamic resource management. IEEE Access, 10, pp.51889-51907. doi.org/10.1109/ACCESS.2022.3173647
Masnavi, H., Adajania, V.K., Kruusamäe, K. and Singh, A.K., 2022. Real-time multi-convex model predictive control for occlusion-free target tracking with quadrotors. IEEE Access, 10, pp.29009-29031. doi.org/10.1109/ACCESS.2022.3157977
Masnavi, H., Shrestha, J., Mishra, M., Sujit, P.B., Kruusamäe, K. and Singh, A.K., 2022. Visibility-aware navigation with batch projection augmented cross-entropy method over a learned occlusion cost. IEEE Robotics and Automation Letters, 7(4), pp.9366-9373. doi.org/10.1109/LRA.2022.3190087
Adajania, V.K., Sharma, A., Gupta, A., Masnavi, H., Krishna, K.M. and Singh, A.K., 2022. Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving. IEEE Robotics and Automation Letters, 7(2), pp.4220-4227. doi.org/10.1109/LRA.2022.3148460
Leoste, J., Viik, T., López, J.S.M., Kangur, M., Vunder, V., Mollard, Y., Õun, T., Tammo, H. and Paekivi, K., 2022. Robots as my future colleagues: changing attitudes toward collaborative robots by means of experience-based workshops. In Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education: Proceedings of the 6th International Conference on Smart Learning Ecosystems and Regional Development (pp. 163-175). Springer Singapore. doi.org/10.1007/978-981-16-3930-2_13
Mayrhofer, W., Nixdorf, S., Fischer, C., Zigart, T., Schmidbauer, C. and Schlund, S., 2021. Learning nuggets for cobot education: a conceptual framework, implementation, and evaluation of adaptive learning content. In Proceedings of the Conference on Learning Factories (CLF). doi.org/10.2139/ssrn.3868713