An overview on optimal flocking
LE Beaver, AA Malikopoulos - Annual Reviews in Control, 2021 - Elsevier
The decentralized aggregate motion of many individual robots is known as robotic flocking.
The study of robotic flocking has received considerable attention in the past twenty years. As …
The study of robotic flocking has received considerable attention in the past twenty years. As …
Autotamp: Autoregressive task and motion planning with llms as translators and checkers
For effective human-robot interaction, robots need to understand, plan, and execute
complex, long-horizon tasks described by natural language. Recent advances in large …
complex, long-horizon tasks described by natural language. Recent advances in large …
[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …
increased in popularity in recent years. Many sectors have benefited from this by increasing …
How to train your neural control barrier function: Learning safety filters for complex input-constrained systems
Control barrier functions (CBFs) have become popular as a safety filter to guarantee the
safety of nonlinear dynamical systems for arbitrary inputs. However, it is difficult to construct …
safety of nonlinear dynamical systems for arbitrary inputs. However, it is difficult to construct …
Runtime assurance for safety-critical systems: An introduction to safety filtering approaches for complex control systems
More than three miles above the Arizona desert, an F-16 student pilot experienced a gravity-
induced loss of consciousness, passing out while turning at nearly 9Gs (nine times the force …
induced loss of consciousness, passing out while turning at nearly 9Gs (nine times the force …
Learning scheduling policies for multi-robot coordination with graph attention networks
Z Wang, M Gombolay - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
Increasing interest in integrating advanced robotics within manufacturing has spurred a
renewed concentration in developing real-time scheduling solutions to coordinate human …
renewed concentration in developing real-time scheduling solutions to coordinate human …
Adaptive bearing-only formation tracking control for nonholonomic multiagent systems
In this article, we consider the formation tracking problem of nonholonomic multiagent
systems only using relative bearing measurements between the agents. Such a practical …
systems only using relative bearing measurements between the agents. Such a practical …
A resilient and energy-aware task allocation framework for heterogeneous multirobot systems
In the context of heterogeneous multirobot teams deployed for executing multiple tasks, this
article develops an energy-aware framework for allocating tasks to robots in an online …
article develops an energy-aware framework for allocating tasks to robots in an online …
Run time assured reinforcement learning for safe satellite docking
Reinforcement learning promises high performance in complex tasks as well as low online
storage and computation cost. However, the trial-and-error learning approach of …
storage and computation cost. However, the trial-and-error learning approach of …
ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware
Autonomous racing in robotics combines high‐speed dynamics with the necessity for
reliability and real‐time decision‐making. While such racing pushes software and hardware …
reliability and real‐time decision‐making. While such racing pushes software and hardware …