3 papers
cs.RO2026
Many-to-Many Multi-Agent Pickup and Delivery
Ethan Schneider, Jingkai Chen, Tianyi Gu +3
Multi-robot systems in automated warehouses must manage continuous streams of pickup-and-delivery tasks while ensuring efficiency and safety. Prior work on Multi-Agent Pickup-and-D…
cs.RO2026
Learning and Optimizing the Efficacy of Spatio-Temporal Task Allocation under Temporal and Resource Constraints
Jiazhen Liu, Glen Neville, Jinwoo Park +2
Complex multi-robot missions often require heterogeneous teams to jointly optimize task allocation, scheduling, and path planning to improve team performance under strict constrain…
cs.MA2024
Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget
Glen Neville, Jiazhen Liu, Sonia Chernova +1
Complex multi-objective missions require the coordination of heterogeneous robots at multiple inter-connected levels, such as coalition formation, scheduling, and motion planning.…