Safety barrier functions and multi-camera tracking for human–robot shared environment

F Ferraguti, CT Landi, S Costi, M Bonfè… - Robotics and …, 2020 - Elsevier
A new vision in human–robot collaboration has allowed to place robots nearby human
operators, working close to each other in industrial environments. As a consequence …

Estimation and exploitation of objects' inertial parameters in robotic grasping and manipulation: A survey

N Mavrakis, R Stolkin - Robotics and Autonomous Systems, 2020 - Elsevier
Inertial parameters characterise an object's motion under applied forces, and can provide
strong priors for planning and control of robotic actions to manipulate the object. However …

A methodology for comparative analysis of collaborative robots for industry 4.0

F Ferraguti, A Pertosa, C Secchi… - … design, automation & …, 2019 - ieeexplore.ieee.org
Collaborative robots are one of the key drivers in Industry 4.0 and they have evolved
considerably since the last decades of the 20th century. With respect to the industrial robots …

Online payload identification for tactile robots using the momentum observer

A Kurdas, M Hamad, J Vorndamme… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Knowledge of the robot's load inertial parameters is indispensable for accurate and safe
operation, especially in collaborative robotics. However, an intuitive method for online …

Planning collision-free robot motions in a human–robot shared workspace via mixed reality and sensor-fusion skeleton tracking

S Farsoni, J Rizzi, GN Ufondu, M Bonfè - Electronics, 2022 - mdpi.com
The paper describes a method for planning collision-free motions of an industrial
manipulator that shares the workspace with human operators during a human–robot …

Online Identification of Payload Inertial Parameters Using Ensemble Learning for Collaborative Robots

W Taie, K ElGeneidy, ALY Ali… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Collaborative robots (Cobots) are essential in flexible automation solutions, enabling fast
and easy reconfiguration to adapt to varying task requirements in dynamic environments …

The sum of its parts: Visual part segmentation for inertial parameter identification of manipulated objects

P Nadeau, M Giamou, J Kelly - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
To operate safely and efficiently alongside human workers, collaborative robots (cobots)
require the ability to quickly understand the dynamics of manipulated objects. However …

End-effector contact force estimation for the industrial robot in automated fiber placement processes with dynamic end-load variations

X Xu, L Cheng, L Miao, X Zhou, J Li, Y Ke - CIRP Journal of Manufacturing …, 2024 - Elsevier
Contact force estimation makes the interaction between the robot and the environment
perceptible and controllable without the need for additional sensor devices. For robots used …

Fast object inertial parameter identification for collaborative robots

P Nadeau, M Giamou, J Kelly - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Collaborative robots (cobots) are machines designed to work safely alongside people in
human-centric environments. Providing cobots with the ability to quickly infer the inertial …

An accurate identification method based on double weighting for inertial parameters of robot payloads

T Xu, J Fan, Q Fang, Y Zhu, J Zhao - Robotica, 2022 - cambridge.org
The inertial parameters of payloads attached to the end effector of robots benefit to several
robotics applications, such as the model-based control, the task optimization, and so on …