3 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Hierarchical LLMs In-the-Loop Optimization for Real-Time Multi-Robot Target Tracking under Unknown Hazards
Yuwei Wu, Yuezhan Tao, Peihan Li +4
Real-time multi-robot coordination in hazardous and adversarial environments requires fast, reliable adaptation to dynamic threats. While Large Language Models (LLMs) offer strong…
Inverse Risk-sensitive Multi-Robot Task Allocation
Guangyao Shi, Gaurav S. Sukhatme
We consider a new variant of the multi-robot task allocation problem - Inverse Risk-sensitive Multi-Robot Task Allocation (IR-MRTA). "Forward" MRTA - the process of deciding which…
Human-in-the-Loop Multi-Robot Information Gathering with Inverse Submodular Maximization
Guangyao Shi, Shipeng Liu, Ellen Novoseller +2
We consider a new type of inverse combinatorial optimization, Inverse Submodular Maximization (ISM), for its application in human-in-the-loop multi-robot information gathering. For…
Can Large Language Models Solve Robot Routing?
Zhehui Huang, Guangyao Shi, Gaurav S. Sukhatme
Routing problems are common in mobile robotics, encompassing tasks such as inspection, surveillance, and coverage. Depending on the objective and constraints, these problems often…