Shi, G., Hönig, W., Shi, X., Yue, Y. & Chung, S. J. Neural-Swarm2: planning and control of heterogeneous multirotor swarms using learned interactions. IEEE Trans. Robot. 38, 1063–1079 (2021).
Zhang, R., Zhang, D. & Mueller, M. W. Proxfly: robust control for close proximity quadcopter flight via residual reinforcement learning. In Proc. 2025 IEEE International Conference on Robotics and Automation (ICRA), 13683–13689 (IEEE, 2025).
Ollero, A., Tognon, M., Suarez, A., Lee, D. & Franchi, A. Past, present, and future of aerial robotic manipulators. IEEE Trans. Robot. 38, 626–645 (2021).
Kim, S., Seo, H., Shin, J. & Kim, H. J. Cooperative aerial manipulation using multirotors with multi-DOF robotic arms. IEEE/ASME Trans. Mechatron. 23, 702–713 (2018).
Rossi, E. et al. Cooperative aerial load transportation via sampled communication. IEEE Control Syst. Lett. 4, 277–282 (2019).
Spieler, P. et al. Parsec: an aerial platform for autonomous deployment of self-anchoring payloads on natural vertical surfaces. In Proc. 2023 IEEE International Conference on Robotics and Automation (ICRA), 5331–5337 (IEEE, 2023).
Lee, J. et al. Introspective perception for long-term aerial telemanipulation with virtual reality. IEEE Trans Field Robot. 1, 360–393 (2024).
Yiğit, A., Cuvillon, L., Perozo, M. A., Durand, S. & Gangloff, J. Dynamic control of a macro–mini aerial manipulator with elastic suspension. IEEE Trans. Robot. 39, 4820–4836 (2023).
Guo, X. et al. Powerful UAV manipulation via bioinspired self-adaptive soft self-contained gripper. Sci. Adv. 10, eadn6642 (2024).
Luo, W., Chen, J., Ebel, H. & Eberhard, P. Time-optimal handover trajectory planning for aerial manipulators based on discrete mechanics and complementarity constraints. IEEE Trans. Robot. 39, 4332–4349 (2023).
Garimella, G. & Kobilarov, M. Towards model-predictive control for aerial pick-and-place. In Proc. 2015 IEEE International Conference on Robotics and Automation (ICRA), 4692–4697 (2015).
Ryll, M. et al. 6D interaction control with aerial robots: the flying end-effector paradigm. Int. J. Robot. Res. 38, 1045–1062 (2019).
Bodie, K. et al. Active interaction force control for contact-based inspection with a fully actuated aerial vehicle. IEEE Trans. Robot. 37, 709–722 (2020).
Alexis, K., Darivianakis, G., Burri, M. & Siegwart, R. Aerial robotic contact-based inspection: planning and control. Auton. Robot. 40, 631–655 (2016).
Chermprayong, P., Zhang, K., Xiao, F. & Kovac, M. An integrated delta manipulator for aerial repair: a new aerial robotic system. IEEE Robot. Autom. Mag. 26, 54–66 (2019).
Zhang, K. et al. Aerial additive manufacturing with multiple autonomous robots. Nature 609, 709–717 (2022).
Hunt, G., Mitzalis, F., Alhinai, T., Hooper, P. A. & Kovac, M. 3D printing with flying robots. In Proc. 2014 IEEE International Conference on Robotics and Automation (ICRA), 4493–4499 (IEEE, 2014).
Wang, M. et al. Millimeter-level pick and peg-in-hole task achieved by aerial manipulator. IEEE Trans. Robot. 40, 1242–1260 (2024).
Orsag, M., Korpela, C., Bogdan, S. & Oh, P. Dexterous aerial robots–mobile manipulation using unmanned aerial systems. IEEE Trans. Robot. 33, 1453–1466 (2017).
Lee, D., Seo, H., Kim, D. & Kim, H. J. Aerial manipulation using model predictive control for opening a hinged door. In Proc. 2020 IEEE International Conference on Robotics and Automation (ICRA), 1237–1242 (IEEE, 2020).
Estrada, M. A., Mintchev, S., Christensen, D. L., Cutkosky, M. R. & Floreano, D. Forceful manipulation with micro air vehicles. Sci. Robot. 3, eaau6903 (2018).
Nguyen, H. & Alexis, K. Forceful aerial manipulation based on an aerial robotic chain: hybrid modeling and control. IEEE Robot. Autom. Lett. 6, 3711–3719 (2021).
Vásárhelyi, G. et al. Optimized flocking of autonomous drones in confined environments. Sci. Robot. 3, eaat3536 (2018).
Zhou, X. et al. Swarm of micro flying robots in the wild. Sci. Robot. 7, eabm5954 (2022).
Uzun, S., Üre, N. K. & Açıkmeıe, B. Decentralized state-dependent Markov chain synthesis with an application to swarm guidance. IEEE Trans. Autom. Control 69, 5759–5774 (2024).
Bandyopadhyay, S., Chung, S. J. & Hadaegh, F. Y. Probabilistic and distributed control of a large-scale swarm of autonomous agents. IEEE Trans. Robot. 33, 1103–1123 (2017).
Shi, G., et al. Neural lander: stable drone landing control using learned dynamics. In Proc. 2019 IEEE International Conference on Robotics and Automation (ICRA), 9784–9790 (IEEE, 2019).
Polvara, R. et al. Toward end-to-end control for UAV autonomous landing via deep reinforcement learning. In Proc. 2018 International Conference on Unmanned Aircraft Systems (ICUAS), 115–123 (IEEE, 2018).
Saripalli, S., Montgomery, J. F. & Sukhatme, G. S. Visually guided landing of an unmanned aerial vehicle. IEEE Trans. Robot. Autom. 19, 371–380 (2003).
Gonçalves, V. M., McLaughlin, R. & Pereira, G. A. Precise landing of autonomous aerial vehicles using vector fields. IEEE Robot. Autom. Lett. 5, 4337–4344 (2020).
Shankar, A., Woo, H. & Prorok, A. Docking multirotors in close proximity using learnt downwash models. In Proc. International Symposium on Experimental Robotics, 427–437 (Springer, 2023).
Gielis, J., Shankar, A., Kortvelesy, R. & Prorok, A. Modeling aggregate downwash forces for dense multirotor flight. In Proc. International Symposium on Experimental Robotics, 393–404 (Springer, 2023).
Smith, H., Shankar, A., Gielis, J., Blumenkamp, J. & Prorok, A. SO(2)-equivariant downwash models for close proximity flight. IEEE Robot. Autom. Lett. 9, 1174–1181 (2023).
Wu, Z. et al. \({\mathcal{L}}1\) quad: \({\mathcal{L}}1\) adaptive augmentation of geometric control for agile quadrotors with performance guarantees. IEEE Trans. Control Syst. Technol. 33, 597–612 (2025).
Ebel, H., Luo, W., Yu, F., Tang, Q. & Eberhard, P. Design and experimental validation of a distributed cooperative transportation scheme. IEEE Trans. Autom. Sci. Eng. 18, 1157–1169 (2021).
Loianno, G. & Kumar, V. Cooperative transportation using small quadrotors using monocular vision and inertial sensing. IEEE Robot. Autom. Lett. 3, 680–687 (2018).
Lee, H., Kim, H. & Kim, H. J. Planning and control for collision-free cooperative aerial transportation. IEEE Trans. Autom. Sci. Eng. 15, 189–201 (2018).
Sanalitro, D., Savino, H. J., Tognon, M., Cortés, J. & Franchi, A. Full-pose manipulation control of a cable-suspended load with multiple UAVs under uncertainties. IEEE Robot. Autom. Lett. 5, 2185–2191 (2020).
Li, G., Ge, R. & Loianno, G. Cooperative transportation of cable suspended payloads with MAVs using monocular vision and inertial sensing. IEEE Robot. Autom. Lett. 6, 5316–5323 (2021).
Palunko, I., Cruz, P. & Fierro, R. Agile load transportation: safe and efficient load manipulation with aerial robots. IEEE Robot. Autom. Mag. 19, 69–79 (2012).
Gawel, A. et al. Aerial picking and delivery of magnetic objects with MAVs. In Proc. 2017 IEEE International Conference on Robotics and Automation (ICRA), 5746–5752 (IEEE, 2017).
Saunders, J., Saeedi, S. & Li, W. Autonomous aerial robotics for package delivery: a technical review. J. Field Robot. 41, 3–49 (2024).
Kornatowski, P. M., Feroskhan, M., Stewart, W. J. & Floreano, D. Downside up: rethinking parcel position for aerial delivery. IEEE Robot. Autom. Lett. 5, 4297–4304 (2020).
Lindsey, Q., Mellinger, D. & Kumar, V. Construction with quadrotor teams. Auton. Robot. 33, 323–336 (2012).
Augugliaro, F. et al. The flight assembled architecture installation: cooperative construction with flying machines. IEEE Control Syst. Mag. 34, 46–64 (2014).
Jimenez-Cano, A. E., Martin, J., Heredia, G., Ollero, A. & Cano, R. Control of an aerial robot with multi-link arm for assembly tasks. In Proc. 2013 IEEE International Conference on Robotics and Automation (ICRA), 4916–4921 (IEEE, 2013).
Zhang, X., Zhang, Y., Liu, P. & Zhao, S. Robust localization of occluded targets in aerial manipulation via range-only mapping. IEEE Robotics and Automation Letters 7, 2921–2928 (2022).
Scaramuzza, D. et al. Vision-controlled micro flying robots: from system design to autonomous navigation and mapping in GPS-denied environments. IEEE Robot. Autom. Mag. 21, 26–40 (2014).
Lee, J. et al. Visual-inertial telepresence for aerial manipulation. In Proc. 2020 IEEE International Conference on Robotics and Automation (ICRA), 1222–1229 (IEEE, 2020).
Jain, K. P., Fortmuller, T., Byun, J., Mäkiharju, S. A. & Mueller, M. W. Modeling of aerodynamic disturbances for proximity flight of multirotors. In Proc. 2019 International Conference on Unmanned Aircraft Systems (ICUAS), 1261–1269 (IEEE, 2019).
Khan, W., Nahon, M. & Caverly, R. Propeller slipstream model for small unmanned aerial vehicles. In Proc. AIAA Modeling and Simulation Technologies Conference (MST), 4907 (AIAA, 2013).
Davoudi, B., Taheri, E., Duraisamy, K., Jayaraman, B. & Kolmanovsky, I. Quad-rotor flight simulation in realistic atmospheric conditions. AIAA J. 58, 1992–2004 (2020).
He, X. & Leang, K. K. Quasi-steady in-ground-effect model for single and multirotor aerial vehicles. AIAA J. 58, 5318–5331 (2020).
Mahony, R., Kumar, V. & Corke, P. Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19, 20–32 (2012).
McKinnon, C. D. & Schoellig, A. P. Unscented external force and torque estimation for quadrotors. In Proc. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5651–5657 (IEEE, 2016).
Cao, H., Li, Y., Liu, C. & Zhao, S. ESO-based robust and high-precision tracking control for aerial manipulation. IEEE Trans. Autom. Sci. Eng. 21, 2139–2155 (2023).
Bauersfeld, L., Muller, K., Ziegler, D., Coletti, F. & Scaramuzza, D. Robotics meets fluid dynamics: a characterization of the induced airflow below a quadrotor as a turbulent jet. IEEE Robot. Autom. Lett. 10, 1241–1248 (2025).
Waslander, S. & Wang, C. Wind disturbance estimation and rejection for quadrotor position control. In Proc. AIAA Infotech@Aerospace Conference, 1983–1995 (AIAA, 2009).
Cao, H., Shen, J., Liu, C., Zhu, B. & Zhao, S. Motion planning for aerial pick-and-place with geometric feasibility constraints. IEEE Trans. Autom. Sci. Eng. 22, 2577–2594 (2024).
Yu, J. & LaValle, S. M. Optimal multirobot path planning on graphs: complete algorithms and effective heuristics. IEEE Trans. Robot. 32, 1163–1177 (2016).
