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Yanmei Zou, Hongshan Yu, Yaonan Wang and Kailun Yang are with the School of Artificial Intelligence and Robotics, Quanzhou Institute of Industrial Design and Machine Intelligence Innovation, Hunan University, Changsha 410082, China. (Yanmei Zou and Hongshan Yu contributed equally to this work. Hongshan Yu is the corresponding author. email: zouyanmei@hnu.edu.cn, yuhongshancn@hotmail.com, yaonan@hnu.edu.cn, kailun.yang@hnu.edu.cn) Zhengeng Yang is with the College of Engineering and Design, Hunan Normal University, Changsha 410081, China. (email: yzg050215@163.com). Xieyuanli Chen is with the College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China. Naveed Akhtar is with the School of Computing and Information Systems, The University of Melbourne, 3052 Victoria, Australia. (email: naveed.akhtar1@unimelb.edu.au)
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Ditching depth sensors, GeoLoco achieves robust zero-shot sim-to-real humanoid locomotion from RGB images alone by cleverly encoding 3D geometric priors from a visual foundation model.
Achieve 28% better point tracking by asynchronously fusing frames and events with a novel transformer architecture that bridges the gap between low-rate frames and high-rate events.