[HTML][HTML] Robot Operating System 2 (ROS2)-based frameworks for increasing robot autonomy: A survey

A Bonci, F Gaudeni, MC Giannini, S Longhi - applied sciences, 2023 - mdpi.com
Featured Application This work aims to review the use of ROS2 as middleware to integrate
heterogeneous hardware and software components in order to enable fixed-base robots to …

A Spatio-Temporal Prediction and Planning Framework for Proactive Human–Robot Collaboration

J Flowers, G Wiens - Journal of Manufacturing …, 2023 - asmedigitalcollection.asme.org
A significant challenge in human–robot collaboration (HRC) is coordinating robot and
human motions. Discoordination can lead to production delays and human discomfort. Prior …

Introducing Delays in Multi Agent Path Finding

J Kottinger, T Geft, S Almagor, O Salzman… - Proceedings of the …, 2024 - ojs.aaai.org
Abstract We consider a Multi-Agent Path Finding (MAPF) setting where agents have been
assigned a plan, but during its execution some agents are delayed. Instead of replanning …

OpenMORE: an open-source tool for sampling-based path replanning in ROS

C Tonola, M Beschi, M Faroni… - 2023 IEEE 28th …, 2023 - ieeexplore.ieee.org
With the spread of robots in unstructured, dynamic environments, the topic of path
replanning has gained importance in the robotics community. Although the number of …

Reinforcement learning particle swarm optimization based trajectory planning of autonomous ground vehicle using 2D LiDAR point cloud

H Nagar, A Paul, R Machavaram, P Soni - Robotics and Autonomous …, 2024 - Elsevier
The advent of autonomous mobile robots has spurred research into efficient trajectory
planning methods, particularly in dynamic environments with varied obstacles. This study …

Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration

J Flowers, M Faroni, G Wiens… - 2023 32nd IEEE …, 2023 - ieeexplore.ieee.org
This paper addresses human-robot collaboration (HRC) challenges of integrating
predictions of human activity to provide a proactive-n-reactive response capability for the …

Adaptive Vector Field Histogram Plus (VFH+) Algorithm using Fuzzy Logic in Motion Planning for Quadcopter

K Mohammed, A Aliedani, A Al-Ibadi - Journal of Robotics and …, 2024 - journal.umy.ac.id
This work introduces the adaptive version of the vector field histogram plus (VFH+) motion
planning algorithm, which is designed for unmanned aerial vehicles, particularly …

Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models

M Faroni, D Berenson - arXiv preprint arXiv:2403.07638, 2024 - arxiv.org
Robotic manipulation relies on analytical or learned models to simulate the system
dynamics. These models are often inaccurate and based on offline information, so that the …

Path Planning Based on A-Star and Dynamic Window Approach Algorithm for Wild Environment

D Dong, S Dong, L Zhang, Y Cai - Journal of Shanghai Jiaotong University …, 2024 - Springer
The path planning problem of complex wild environment with multiple elements still poses
challenges. This paper designs an algorithm that integrates global and local planning to …

Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts

S Sandrini, M Faroni, N Pedrocchi - Learning, 2023 - advance.sagepub.com
Modern hybrid robot cells leverage heterogeneous agents to provide agile production
solutions. Effective agent coordination is crucial to avoid inefficiencies and potential hazards …