A survey on large-population systems and scalable multi-agent reinforcement learning
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 …
research and engineering, ranging from epidemiology over robotic swarms to economics …
Drones in the Big City: Autonomous Collision Avoidance for Aerial Delivery Services
As delivery companies continue to explore the use of drones, the need for efficient and safe
operation in urban environments becomes increasingly critical. Market-wide versions of …
operation in urban environments becomes increasingly critical. Market-wide versions of …
Get your cyber-physical tests done! data-driven vulnerability assessment of robotic aerial vehicles
A Ding, M Chan, A Hass… - 2023 53rd Annual …, 2023 - ieeexplore.ieee.org
The rapid growth of robotic aerial vehicles (RAVs) has attracted extensive interest in
numerous public and civilian applications, from flying drones to quadrotors. Security of RAV …
numerous public and civilian applications, from flying drones to quadrotors. Security of RAV …
Safe and efficient multi-agent collision avoidance with physics-informed reinforcement learning
Reinforcement learning (RL) has shown great promise in addressing multi-agent collision
avoidance challenges. However, existing RL-based methods often suffer from low training …
avoidance challenges. However, existing RL-based methods often suffer from low training …
Benchmarking off-policy deep reinforcement learning algorithms for uav path planning
This paper presents a benchmarking of off-policy Reinforcement Learning (RL) algorithms
for Unmanned Aerial Vehicle (UAV) path planning. The focus is on assessing the …
for Unmanned Aerial Vehicle (UAV) path planning. The focus is on assessing the …
Scalable task-driven robotic swarm control via collision avoidance and learning mean-field control
In recent years, reinforcement learning and its multi-agent analogue have achieved great
success in solving various complex control problems. However, multi-agent rein-forcement …
success in solving various complex control problems. However, multi-agent rein-forcement …
Bio-Inspired Self-Organized Fission–Fusion Control Algorithm for UAV Swarm
Swarm control has become a challenging topic for the current unmanned aerial vehicle
(UAV) swarm due to its conflicting individual behaviors and high external interference …
(UAV) swarm due to its conflicting individual behaviors and high external interference …
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion
We present AVOCADO (AdaptiVe Optimal Collision Avoidance Driven by Opinion), a novel
navigation approach to address holonomic robot collision avoidance when the degree of …
navigation approach to address holonomic robot collision avoidance when the degree of …
Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Vehicle
A Ding, M Chan, A Hassanzadeh, NO Tippenhauer… - 2023 - publications.cispa.de
The rapid growth of robotic aerial vehicles (RAVs) has attracted extensive interest in
numerous public and civilian applications, from flying drones to quadrotors. Security of RAV …
numerous public and civilian applications, from flying drones to quadrotors. Security of RAV …
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV
By leveraging the underlying structures of the quadrotor dynamics, we propose multi-agent
reinforcement learning frameworks to innovate the low-level control of a quadrotor, where …
reinforcement learning frameworks to innovate the low-level control of a quadrotor, where …