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20222026
most citedA Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

8 citations · 8 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Task-Adaptive Design of Modular Aerial Manipulators Under Airflow Exposure Constraints

Mengguang Li, Heinz Koeppl

Aerial manipulation with multirotor platforms enables physical interaction in complex environments, but rotor-induced airflow remains a critical limitation for tasks involving airf…

cs.RO2026

Downwash-aware Configuration Optimization for Modular Aerial Systems

Mengguang Li, Heinz Koeppl

This work proposes a framework that generates and optimally selects task-specific assembly configurations for a large group of homogeneous modular aerial systems, explicitly enforc…

cs.RO2024

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control

Mengguang Li, Kai Cui, Heinz Koeppl

The standard quadrotor is one of the most popular and widely used aerial vehicle of recent decades, offering great maneuverability with mechanical simplicity. However, the under-ac…

cs.RO2023

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms

Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh +3

Swarms of aerial drones have recently been considered for last-mile deliveries in urban logistics or automated construction. At the same time, collaborative transportation of paylo…

cs.RO2022

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control

Kai Cui, Mengguang Li, Christian Fabian +1

In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various complex control problems. However, multi-agent reinforcement lea…