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A team of researchers from the University of Minnesota, including Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, and Nurali Virani, has developed a novel approach to improve the performance of off-roa

Researchers Shathushan Sivashangaran and Azim Eskandarian, affiliated with Virginia Tech, have developed a groundbreaking experimental vehicle platform designed to advance research in connected autonomy and all-terrain applications. Their innovation,

Researchers from the University of Michigan, led by W. Jacob Wagner, have developed a groundbreaking localization system designed to enable uncrewed ground vehicles (UGVs) to navigate autonomously in challenging, GNSS-denied environments. The team, w

Researchers from Virginia Polytechnic Institute and State University, led by Shathushan Sivashangaran, Apoorva Khairnar, and Azim Eskandarian, have made significant strides in the field of autonomous mobile robotics (AMRs), addressing a critical chal

Researchers from the University of Buffalo, led by Ameya Salvi and Venkat Krovi, have made significant strides in the realm of vehicle stabilization, particularly for military ground vehicles traversing challenging terrains. Their work focuses on add

Researchers from the University of Science and Technology of China, led by Yuchen Wu and Yifan Yang, have developed an innovative approach to cooperative path planning for multi-agent systems, with significant implications for the defence and securit

Researchers from the Norwegian Defence Research Establishment (FFI), including Henrik Madsen, Gudmund Grov, Federico Mancini, Magnus Baksaas, and Åvald Åslaugson Sommervoll, have been exploring the use of reinforcement learning to enhance the autonom