3 papers
cs.RO2026
Effects of Swarm Size Variability on Operator Workload
William Hunt, Aleksandra Landowska, Horia A. Maior +2
Real-world deployments of human--swarm teams depend on balancing operator workload to leverage human strengths without inducing overload. A key challenge is that swarm size is ofte…
cs.RO2025
HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models
Zhaoxing Li, Wenbo Wu, Yue Wang +3
Rapid advancements in artificial intelligence (AI) have enabled robots to performcomplex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face chal…
cs.RO2024
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
Toby Godfrey, William Hunt, Mohammad D. Soorati
Multi-agent reinforcement learning is a key method for training multi-robot systems. Through rewarding or punishing robots over a series of episodes according to their performance,…