Review on Motion Planning of Robotic Manipulator in Dynamic Environments

J Liu, HJ Yap, ASM Khairuddin - Journal of Sensors, 2024 - Wiley Online Library
In response to the growing demands for faster production and cost‐efficiency, collaborative
and autonomous robots are playing increasingly important roles in various industries …

A Review on Reinforcement Learning for Motion Planning of Robotic Manipulators

Í Elguea-Aguinaco, I Inziarte-Hidalgo… - … Journal of Intelligent …, 2024 - Wiley Online Library
Effective motion planning is an indispensable prerequisite for the optimal performance of
robotic manipulators in any task. In this regard, the research and application of …

Modeling Nonlinear Dynamics in Human–Machine Interaction

A Scibilia, N Pedrocchi, L Fortuna - IEEE Access, 2023 - ieeexplore.ieee.org
In Human–Machine interaction, the possibility of increasing the intelligence and adaptability
of the controlled plant by imitating human control behavior has been an objective of many …

Anytime informed multi-path replanning strategy for complex environments

C Tonola, M Faroni, M Beschi, N Pedrocchi - IEEE Access, 2023 - ieeexplore.ieee.org
In many real-world applications (eg, human-robot collaboration), the environment changes
rapidly, and the intended path may become invalid due to moving obstacles. In these …

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 …

Path Planning for the Robotic Manipulator in Dynamic Environments Based on a Deep Reinforcement Learning Method

J Liu, HJ Yap, ASM Khairuddin - Journal of Intelligent & Robotic Systems, 2025 - Springer
Collaborative and autonomous robots are increasingly important in meeting the demands of
a faster and more cost-effective market. To ensure production efficiency and safety, robots …

Synthetic training data generation for convolutional neural networks in vision applications

H Vietz, T Rauch, M Weyrich - 2022 IEEE 27th International …, 2022 - ieeexplore.ieee.org
Vision applications are becoming increasingly important for product quality surveillance in
manufacturing. Training consistently well-performing visual detection algorithms based on …

Reactive Motion Replanning For Human-Robot Collaboration

C Tonola - 2024 - iris.unibs.it
In recent years, there has been a significant increase in robots sharing workspace with
human operators, combining the speed and precision inherent to robots with human …

Modelli di Controllo e Stima dell'Intenzione nel Contesto dell'Interazione Uomo-Robot

A Scibilia - 2023 - tesidottorato.depositolegale.it
The study of human-machine interaction as a unique control system has been one of the first
research interests in engineering, with almost a century of years since the first works. At the …

[PDF][PDF] Anytime Informed Multi-Path Replanning Strategy for Complex Environments

N PEDROCCHI - iris.cnr.it
In many real-world applications (eg, human-robot collaboration), the environment changes
rapidly, and the intended path may become invalid due to moving obstacles. In these …