Safe human–robot collaboration for industrial settings: a survey
Human–robot collaboration (HRC) plays a pivotal role in today's industry by supporting
increasingly customised product development. Via HRC, the strengths of humans and robots …
increasingly customised product development. Via HRC, the strengths of humans and robots …
[HTML][HTML] Occupational health and safety issues in human-robot collaboration: State of the art and open challenges
A Giallanza, G La Scalia, R Micale, CM La Fata - Safety science, 2024 - Elsevier
Abstract Human-Robot Collaboration (HRC) refers to the interaction of workers and robots in
a shared workspace. Owing to the integration of the industrial automation strengths with the …
a shared workspace. Owing to the integration of the industrial automation strengths with the …
Control techniques for safe, ergonomic, and efficient human-robot collaboration in the digital industry: A survey
The fourth industrial revolution, also known as Industry 4.0, is resha** the way individuals
live and work while providing a substantial influence on the manufacturing scenario. The key …
live and work while providing a substantial influence on the manufacturing scenario. The key …
Learning-based real-time detection of robot collisions without joint torque sensors
Robots operating in close proximity to humans require fast and reliable detection of
collisions, which can range from sharp impacts (hard collisions) to pulling-pushing-catching …
collisions, which can range from sharp impacts (hard collisions) to pulling-pushing-catching …
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations
In today's prevailing manufacturing paradigm of mass personalization, neither human
operators nor robots alone can perform all assembly tasks efficiently. To overcome it, human …
operators nor robots alone can perform all assembly tasks efficiently. To overcome it, human …
Collision detection for robot manipulators using unsupervised anomaly detection algorithms
Collaborative robot manipulators operating in dynamic and unstructured environments
shared with humans require fast and accurate detection of collisions. When using model …
shared with humans require fast and accurate detection of collisions. When using model …
Human–robot collaboration using sequential-recurrent-convolution-network-based dynamic face emotion and wireless speech command recognitions
CL Hwang, YC Deng, SE Pu - Ieee Access, 2022 - ieeexplore.ieee.org
The proposed sequential recurrent convolution network (SRCN) includes two parts: one
convolution neural network (CNN) and a sequence of long short-term memory (LSTM) …
convolution neural network (CNN) and a sequence of long short-term memory (LSTM) …
Asymmetric identification model for human-robot contacts via supervised learning
Q Abu Al-Haija, J Al-Saraireh - Symmetry, 2022 - mdpi.com
Human-robot interaction (HRI) occupies an essential role in the flourishing market for
intelligent robots for a wide range of asymmetric personal and entertainment applications …
intelligent robots for a wide range of asymmetric personal and entertainment applications …
Transferable collision detection learning for collaborative manipulator using versatile modularized neural network
As human-robot collaboration increases and robots are applied to everyday life, interest in
safety issues is increasing. To be safely used in real life, in addition to collision prevention …
safety issues is increasing. To be safely used in real life, in addition to collision prevention …
Online identification of time-varying dynamical systems for industrial robots based on sparse Bayesian learning
Nowadays, industrial robots have been widely used in manufacturing, healthcare,
packaging, and more. Choosing robots in these applications mainly attributes to their …
packaging, and more. Choosing robots in these applications mainly attributes to their …