3 papers
cs.LG2025
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan +10
Time series forecasting at scale presents significant challenges for modern prediction systems, particularly when dealing with large sets of synchronized series, such as in a globa…
cs.RO2025
Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception
Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt +7
Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems pe…
cs.CV2024
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
Jiarui Sun, M. Ugur Akcal, Wei Zhang +1
In visual Reinforcement Learning (RL), learning from pixel-based observations poses significant challenges on sample efficiency, primarily due to the complexity of extracting infor…