3 papers
cs.LG2026
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…
cs.LG2026
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…
cs.CV2026
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…