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1. Multi-robot Dubins Coverage with Autonomous Surface Vehicles

   https://doi.org/10.1109/ICRA.2018.8460661  

   Karapetyan, Nare; Moulton, Jason; Lewis, Jeremy S.; Quattrini Li, Alberto; Okane, Jason M.; Rekleitis, Ioannis (May 2018, IEEE International Conference on Robotics and Automation (ICRA))

   In large scale coverage operations, such as marine exploration or aerial monitoring, single robot approaches are not ideal, as they may take too long to cover a large area. In such scenarios, multi-robot approaches are preferable. Furthermore, several real world vehicles are non-holonomic, but can be modeled using Dubins vehicle kinematics. This paper focuses on environmental monitoring of aquatic environments using Autonomous Surface Vehicles (ASVs). In particular, we propose a novel approach for solving the problem of complete coverage of a known environment by a multi-robot team consisting of Dubins vehicles. It is worth noting that both multi-robot coverage and Dubins vehicle coverage are NP-complete problems. As such, we present two heuristics methods based on a variant of the traveling salesman problem-k-TSP-formulation and clustering algorithms that efficiently solve the problem. The proposed methods are tested both in simulations to assess their scalability and with a team of ASVs operating on a 200 km 2 lake to ensure their applicability in real world. 

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2. Hybrid multi-task learning-based response surface modeling in manufacturing

   https://doi.org/10.1016/j.jmsy.2021.04.012  

   Yang, Yuhang; Shao, Chenhui (April 2021, Journal of Manufacturing Systems)
3. MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-User Wireless Indoor Localization

   https://doi.org/10.1109/TWC.2021.3087354  

   Zhang, Haobo; Zhang, Hongliang; Di, Boya; Bian, Kaigui; Han, Zhu; Song, Lingyang (December 2021, IEEE Transactions on Wireless Communications)
4. Holocene global mean surface temperature, a multi-method reconstruction approach

   https://doi.org/10.1038/s41597-020-0530-7  

   Kaufman, Darrell; McKay, Nicholas; Routson, Cody; Erb, Michael; Dätwyler, Christoph; Sommer, Philipp S.; Heiri, Oliver; Davis, Basil (June 2020, Scientific Data)

   Abstract An extensive new multi-proxy database of paleo-temperature time series (Temperature 12k) enables a more robust analysis of global mean surface temperature (GMST) and associated uncertainties than was previously available. We applied five different statistical methods to reconstruct the GMST of the past 12,000 years (Holocene). Each method used different approaches to averaging the globally distributed time series and to characterizing various sources of uncertainty, including proxy temperature, chronology and methodological choices. The results were aggregated to generate a multi-method ensemble of plausible GMST and latitudinal-zone temperature reconstructions with a realistic range of uncertainties. The warmest 200-year-long interval took place around 6500 years ago when GMST was 0.7 °C (0.3, 1.8) warmer than the 19^thCentury (median, 5^th, 95^thpercentiles). Following the Holocene global thermal maximum, GMST cooled at an average rate −0.08 °C per 1000 years (−0.24, −0.05). The multi-method ensembles and the code used to generate them highlight the utility of the Temperature 12k database, and they are now available for future use by studies aimed at understanding Holocene evolution of the Earth system. 

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5. MetaRadar: Multi-Target Detection for Reconfigurable Intelligent Surface Aided Radar Systems

   https://doi.org/10.1109/TWC.2022.3153792  

   Zhang, Haobo; Zhang, Hongliang; Di, Boya; Bian, Kaigui; Han, Zhu; Song, Lingyang (September 2022, IEEE Transactions on Wireless Communications)