2 papers
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…
cs.RO2024
Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints
Arun N. Sivakumar, Mateus V. Gasparino, Michael McGuire +3
We present a vision-based navigation system for under-canopy agricultural robots using semantic keypoints. Autonomous under-canopy navigation is challenging due to the tight spacin…