3 papers
cs.RO2026
MosaicIMU: Composing Carrier Experts for Generalizable Neural Inertial Odometry
Junye Zou, Huiyi Yan, Xinning Xu +4
Robust inertial odometry is essential for various carriers when external sensing is unreliable. Learning-based methods reduce integration drift by capturing local motion priors, bu…
cs.RO2026
Learning Diverse Skills for Behavior Models with Mixture of Experts
Wangtian Shen, Jinming Ma, Mingliang Zhou +1
Imitation learning has demonstrated strong performance in robotic manipulation by learning from large-scale human demonstrations. While existing models excel at single-task learnin…
cs.RO2026
An Efficient and Multi-Modal Navigation System with One-Step World Model
Wangtian Shen, Ziyang Meng, Jinming Ma +2
Navigation is a fundamental capability for mobile robots. While the current trend is to use learning-based approaches to replace traditional geometry-based methods, existing end-to…