2 citations · 4 across the 7 of their papers we have counts for
8 papers
Fast and Scalable Multi-Agent Distribution Matching via Partitioned Optimal Transport
Kooktae Lee, Ruchika Singh
This paper presents a scalable optimal-transport-based framework for terminal distribution matching in multi-agent systems. While optimal transport provides a natural way to measur…
Riemannian Density-Driven Optimal Control: Tangent-Space LQR for Second-Order Multi-Agent Systems on Curved Manifolds
Kooktae Lee, Ruchika Singh
Density-Driven Optimal Control (D2OC) provides an effective framework for steering multi-agent systems toward prescribed spatial distributions. However, existing D2OC formulations…
Optimal Transport-Based Decentralized Multi-Agent Distribution Matching
Kooktae Lee
This paper presents a decentralized control framework for distribution matching in multi-agent systems (MAS), where agents collectively achieve a prescribed terminal spatial distri…
Collision-Aware Density-Driven Control of Multi-Agent Systems via Control Barrier Functions
Sungjun Seo, Kooktae Lee
This paper tackles the problem of safe and efficient area coverage using a multi-agent system operating in environments with obstacles. Applications such as environmental monitorin…
Connectivity-Preserving Multi-Agent Area Coverage via Optimal-Transport-Based Density-Driven Optimal Control (D2OC)
Kooktae Lee, Ethan Brook
Multi-agent systems play a central role in area coverage tasks across search-and-rescue, environmental monitoring, and precision agriculture. Achieving non-uniform coverage, where…
On the Convergence of Density-Based Predictive Control for Multi-Agent Non-Uniform Area Coverage
Sungjun Seo, Kooktae Lee
This paper presents Density-based Predictive Control (DPC), a novel multi-agent control strategy for efficient non-uniform area coverage, grounded in optimal transport theory. In l…
Density-Driven Optimal Control for Non-Uniform Area Coverage in Decentralized Multi-Agent Systems Using Optimal Transport
Sungjun Seo, Kooktae Lee
This paper addresses the fundamental problem of non-uniform area coverage in multi-agent systems, where different regions require varying levels of attention due to mission-depende…
Density-Driven Multi-Agent Coordination for Efficient Farm Coverage and Management in Smart Agriculture
Sungjun Seo, Kooktae Lee
The growing scale of modern farms has increased the need for efficient and adaptive multi-agent coverage strategies for pest, weed, and disease management. Traditional methods such…