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Communications-Aware Robotics: Challenges and Opportunities (2304.06644v1)

Published 13 Apr 2023 in cs.RO

Abstract: The use of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) has seen significant growth in the research community, industry, and society. Many of these agents are equipped with communication systems that are essential for completing certain tasks successfully. This has led to the emergence of a new interdisciplinary field at the intersection of robotics and communications, which has been further driven by the integration of UAVs into 5G and 6G communication networks. However, one of the main challenges in this research area is how many researchers tend to oversimplify either the robotics or the communications aspects, hindering the full potential of this new interdisciplinary field. In this paper, we present some of the necessary modeling tools for addressing these problems from both a robotics and communications perspective, using the UAV communications relay as an example.

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References (28)
  1. A. Gasparri et al., “Bounded Control Law for Global Connectivity Maintenance in Cooperative Multirobot Systems,” IEEE Transactions on Robotics, vol. 33, no. 3, pp. 700–717, 2017.
  2. D. Licea Bonilla et al., “Communication-Aware Energy Efficient Trajectory Planning With Limited Channel Knowledge,” IEEE Transactions on Robotics, vol. 36, no. 2, pp. 431–442, 2020.
  3. Y. Zeng et al., “Energy-Efficient UAV Communication With Trajectory Optimization,” IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3747–3760, 2017.
  4. Q. Wu et al., “Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks,” IEEE Transactions on Wireless Communications, vol. 17, no. 3, pp. 2109–2121, 2018.
  5. Y. Zeng et al., “Accessing from the sky: A tutorial on uav communications for 5g and beyond,” Proceedings of the IEEE, vol. 107, no. 12, pp. 2327–2375, 2019.
  6. A. Ahmad et al., “PACNav: A Collective Navigation Approach for UAV Swarms Deprived of Communication and External Localization,” Bioinspiration & Biomimetics, vol. 17, no. 6, p. 066019, 2022.
  7. J. H. Jung et al., “Multi-robot path finding with wireless multihop communications,” IEEE Communications Magazine, vol. 48, no. 7, pp. 126–132, 2010.
  8. M. Lindhé et al., “Adaptive exploitation of multipath fading for mobile sensors,” in 2010 IEEE International Conference on Robotics and Automation, 2010, pp. 1934–1939.
  9. M. Calvo-Fullana et al., “Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas,” IEEE Communications Magazine, vol. 59, no. 1, pp. 22–27, 2021.
  10. ——, “ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators,” IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1120–1127, 2021.
  11. M. Guo et al., “Multirobot Data Gathering Under Buffer Constraints and Intermittent Communication,” IEEE Transactions on Robotics, vol. 34, no. 4, pp. 1082–1097, 2018.
  12. H. El Hammouti et al., “Air-to-Ground Channel Modeling for UAV Communications Using 3D Building Footprints,” in Ubiquitous Networking.   Springer International Publishing, 2018, pp. 372–383.
  13. A. A. Khuwaja et al., “A Survey of Channel Modeling for UAV Communications,” IEEE Communications Surveys Tutorials, vol. 20, no. 4, pp. 2804–2821, 2018.
  14. W. Khawaja et al., “A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles,” IEEE Communications Surveys Tutorials, vol. 21, no. 3, pp. 2361–2391, 2019.
  15. G. Silano et al., “Power Line Inspection Tasks With Multi-Aerial Robot Systems Via Signal Temporal Logic Specifications,” IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 4169–4176, 2021.
  16. D. Hert et al., “MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments,” in 2022 International Conference on Unmanned Aircraft Systems, 2022, pp. 1264–1273.
  17. G. Silano et al., “A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks,” in 2021 International Conference on Unmanned Aircraft Systems, 2021, pp. 1624–1629.
  18. A. Calvo et al., “Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations,” in 2022 International Conference on Unmanned Aircraft Systems, 2022, pp. 1644–1649.
  19. D. Bonilla Licea et al., “Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations,” in 2021 29th European Signal Processing Conference, 2021, pp. 1586–1590.
  20. A. Dmytruk et al., “A Perception-Aware NMPC for Vision-Based Target Tracking and Collision Avoidance with a Multi-Rotor UAV,” in 2022 International Conference on Unmanned Aircraft Systems, 2022, pp. 1668–1673.
  21. V. Cataffo et al., “A Nonlinear Model Predictive Control Strategy for Autonomous Racing of Scale Vehicles,” in 2022 IEEE International Conference on Systems, Man, and Cybernetics, 2022, pp. 100–105.
  22. G. Michieletto et al., “Fundamental Actuation Properties of Multirotors: Force–Moment Decoupling and Fail–Safe Robustness,” IEEE Transactions on Robotics, vol. 34, no. 3, pp. 702–715, 2018.
  23. Y. Sun et al., “Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems,” IEEE Transactions on Communications, vol. 67, no. 6, pp. 4281–4298, 2019.
  24. C. Liu et al., “Safeguarding UAV Communications Against Full-Duplex Active Eavesdropper,” IEEE Transactions on Wireless Communications, vol. 18, no. 6, pp. 2919–2931, 2019.
  25. M. T. Dabiri et al., “Optimal Placement of UAV-Assisted Free-Space Optical Communication Systems With DF Relaying,” IEEE Communications Letters, vol. 24, no. 1, pp. 155–158, 2020.
  26. J.-H. Lee et al., “A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time,” IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1610–1621, 2020.
  27. M. T. Dabiri et al., “Channel Modeling and Parameter Optimization for Hovering UAV-Based Free-Space Optical Links,” IEEE Journal on Selected Areas in Communications, vol. 36, no. 9, pp. 2104–2113, 2018.
  28. D. Bonilla Licea et al., “When Robotics Meets Wireless Communications: An Introductory Tutorial,” ArXiv, 2209.02021, 2022.
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