[HTML][HTML] Robot Operating System 2 (ROS2)-based frameworks for increasing robot autonomy: A survey
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 …
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 …
human motions. Discoordination can lead to production delays and human discomfort. Prior …
Introducing Delays in Multi Agent Path Finding
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 …
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
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 …
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
The advent of autonomous mobile robots has spurred research into efficient trajectory
planning methods, particularly in dynamic environments with varied obstacles. This study …
planning methods, particularly in dynamic environments with varied obstacles. This study …
Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration
This paper addresses human-robot collaboration (HRC) challenges of integrating
predictions of human activity to provide a proactive-n-reactive response capability for the …
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 …
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 …
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 …
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
Modern hybrid robot cells leverage heterogeneous agents to provide agile production
solutions. Effective agent coordination is crucial to avoid inefficiencies and potential hazards …
solutions. Effective agent coordination is crucial to avoid inefficiencies and potential hazards …