Software variability in service robotics

S García, D Strüber, D Brugali, A Di Fava… - Empirical Software …, 2023 - Springer
Robots artificially replicate human capabilities thanks to their software, the main
embodiment of intelligence. However, engineering robotics software has become …

Handling uncertainty in the specification of autonomous multi-robot systems through mission adaptation

G Filippone, JA Piñera García, M Autili… - Proceedings of the 19th …, 2024 - dl.acm.org
Multi-robot systems (MRS) have gained interest as a versatile paradigm for complex task
execution across various domains such as healthcare, logistics, and maintenance. Often …

Fairness and sequential decision making: Limits, lessons, and opportunities

SB Nashed, J Svegliato, SL Blodgett - arxiv preprint arxiv:2301.05753, 2023 - arxiv.org
As automated decision making and decision assistance systems become common in
everyday life, research on the prevention or mitigation of potential harms that arise from …

[HTML][HTML] An integrated strategy-based game-theoretic model and decentralized queueing system for mobile multi-robot task coordination

B Pradhan, V Goswami, RK Barik, S Sahana - Decision Analytics Journal, 2023 - Elsevier
Autonomous multi-robot systems are restricted by their coordination ability with one another.
Coordination entails the simultaneous division of tasks, the assignment of tasks, the …

A new cloud autonomous system as a service for multi-mobile robots

AA Nasr - Neural Computing and Applications, 2022 - Springer
Today, mobile robot is used in most industrial and commercial fields. It can improve and
carry out work complex tasks quickly and efficiently. However, using swarm robots to …

A ros package for human-in-the-loop planning and control under linear temporal logic tasks

R Baran, X Tan, P Varnai, P Yu… - 2021 IEEE 17th …, 2021 - ieeexplore.ieee.org
In this paper, we propose a ROS software package for planning and control of robotic
systems with a human-in-the-Ioop focus. The software uses temporal logic specifications …

Reinforcement learning method for target hunting control of multi‐robot systems with obstacles

Z Fan, H Yang, F Liu, L Liu… - International Journal of …, 2022 - Wiley Online Library
Aiming at the target encirclement problem of multi‐robot systems, a target hunting control
method based on reinforcement learning is proposed. First, the Markov game modeling for …

Human Robot Collaboration

M Benoussaad - Artificial Intelligence for Safety and Reliability …, 2024 - Springer
The current chapter presents an overview and state of the art in the field of collaborative
robotics (commonly called cobotics), where several issues, challenges and contributions in …

Scratch Team of Single-Rotor Robots and Decentralized Cooperative Transportation with Robot Failure

K Oishi, Y Amano, J Tomohiko - arxiv preprint arxiv:2307.00705, 2023 - arxiv.org
Achieving cooperative transportation by teams of aerial robots has been attracting attention
owing to its flexibility with respect to payloads and robustness against failures. In this paper …

Distributed Control of Collaborative Multi-Agent Systems using Interpreted Petri Nets through Indirect Interactions

JI Parra-Vilchis, CR Vázquez, J Ruiz-León… - IFAC-PapersOnLine, 2024 - Elsevier
This work introduces a framework to describe and control collaborative systems in a
distributed manner. Within this framework, both a set of agents and a specification to be …