Safe Robot Reflexes: A Taxonomy-based Decision and Modulation Framework

J Vorndamme, A Melone, R Kirschner… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recent advances in control and planning allow for seamless physical human–robot
interaction (pHRI). At the same time, novel challenges appear in orchestrating intelligent …

Passivity-based skill motion learning in stiffness-adaptive unified force-impedance control

K Karacan, H Sadeghian, R Kirschner… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Tactile robots shall be deployed for dynamic task execution in production lines with small
batch sizes. Therefore, these robots should have the ability to respond to changing …

Simultaneously learning of motion, stiffness, and force from human demonstration based on riemannian dmp and qp optimization

Z Liao, F Tassi, C Gong, M Leonori… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, we propose a motion, stiffness, and force learning framework based on an
extended dynamic movement primitive (DMP) and quadratic programming (QP) …

Collision Tests in Human-Robot Collaboration: Experiments on the Influence of Additional Impact Parameters on Safety

C Fischer, M Neuhold, M Steiner, T Haspl… - IEEE …, 2023 - ieeexplore.ieee.org
Human-robot collaborations are among the most promising but challenging applications for
human-centered production, as both agents involved share a mutual workspace without …

Parti-a haptic virtual reality control station for model-mediated robotic applications

J Elsner, G Reinerth, L Figueredo, A Naceri… - Frontiers in Virtual …, 2022 - frontiersin.org
In this paper, we introduce a tele-robotic station called “PARTI” that leverages state-of-the-art
robotics and virtual reality technology to enable immersive haptic interaction with simulated …

Tactile exploration using unified force-impedance control

K Karacan, D Grover, H Sadeghian, F Wu… - IFAC-PapersOnLine, 2023 - Elsevier
Tactile robots can perform complex interaction skills, eg, polishing. Such robots should
therefore be designed to be adaptive to environmental uncertainties such as changing …

A Closed-Loop Evaluation Method for Industrial Robot Performance Driven by Health Data

J Kang, H Fang, Y Hao - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Evaluating robot performance through health data is important for industrial robots in
production. In this article, a closed-loop evaluation method based on low-cost health data is …

Labelling Lightweight Robot Energy Consumption: A Mechatronics-Based Benchmarking Metric Set

J Heredia, RJ Kirschner, C Schlette… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Compliance with global guidelines for sustainable and responsible production in modern
industry requires a comparative analysis of consumer devices' energy consumption (EC) …

The Inherent Representation of Tactile Manipulation Using Unified Force-Impedance Control

K Karacan, RJ Kirschner, H Sadeghian… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
Different robotic manipulation tasks require different execution and planning strategies.
Nevertheless, the versatility of tasks in assembly and disassembly demands flexible control …

Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards

P So, A Sarabakha, F Wu, U Culha… - IEEE Robotics & …, 2024 - ieeexplore.ieee.org
Robotics aims to develop manipulation skills approaching human performance. However,
skill complexity is often over-or underestimated based on individual experience, and the real …