8 citations · 8 across the 8 of their papers we have counts for
8 papers
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…
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…
FPGA-Based Neural Thrust Controller for UAVs
Sharif Azem, David Scheunert, Mengguang Li +4
The advent of unmanned aerial vehicles (UAVs) has improved a variety of fields by providing a versatile, cost-effective and accessible platform for implementing state-of-the-art al…
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…
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…
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment
Kai Cui, Lars Baumgärtner, Burak Yilmaz +6
Both data ferrying with disruption-tolerant networking (DTN) and mobile cellular base stations constitute important techniques for UAV-aided communication in situations of crises w…
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui, Anam Tahir, Gizem Ekinci +4
The analysis and control of large-population systems is of great interest to diverse areas of research and engineering, ranging from epidemiology over robotic swarms to economics a…
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…