4 papers
Offline Reinforcement Learning for Warehouse SLAM Throughput Control
Tina Dongxu Li, Mouhacine Benosman, Rajat Kumar +3
We present an offline reinforcement learning (RL) framework for optimizing SLAM throughput control in a warehouse fulfillment environment. SLAM (Scan/Label/Apply/Manifest) throughp…
A Comparative Study of Bayesian Contextual Bandits for Real-Time Warehouse Sorter Optimization
Tina Dongxu Li, Mouhacine Benosman, Ken Meszaros +1
Efficient sorter diversion control of automated material handling systems (MHS) is critical for optimizing operational efficiency in large-scale warehouse environments. In this stu…
Training-Free Object-Agnostic Jam Detection in Fulfillment Centers
Ruiliang Liu, Tina Dongxu Li, Joshua Migdal +3
In fulfillment centers, diverse objects move continuously from inbound to outbound operations and can become jammed due to excessive conveyor friction, incorrect orientation, or me…
Enhancing Computer Vision Model Generalization in Warehouse Facilities: A Case Study on Anomaly Detection in Vertical Material Handling Systems
Ruiliang Liu, Tina Dongxu Li, Joshua Migdal +2
Deploying computer vision models in Warehouse Facilities traditionally requires extensive resources for camera mounting, image collection, annotation, training, and deployment - a…