Recent advancements in LiDAR-Inertial Odometry (LIO) have significantly propelled robotic applications, yet traditional systems inherently prioritize localization over mapping. This results in sparse geometric representations that are often insufficient for downstream tasks. While emerging neural field technologies hol...
Zhong Wang, Yue Wen, Zhen Sun et al.· IEEE Transactions on Image P...· 0 citations
Reliable terrain perception is fundamental for the embodied navigation of legged robots in open-world environments. However, dynamically discovering unbounded terrain categories from streaming visual and proprioceptive data remains challenging. Existing methods suffer from catastrophic forgetting, rely on computational...
Ze-Yu Zhang, Ke-Hui Ma, Zhen Sun et al.· IEEE Robotics and Automation...· 0 citations
This representation can be an efficient alternative to the original influence functions for estimating changes in parameters, model outputs and loss due to data point removal, when model size is large relative to dataset size, or when evaluating the original influence functions in parameter space is infeasible.
Zhen Sun, S. Valaee· 0 citations
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