Browsing AURA by Author "Langås, Even Falkenberg"
Now showing items 1-5 of 5
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Autonomous Pick-and-Place Procedure with an Industrial Robot Using Multiple 3D Sensors for Object Detection and Obstacle Avoidance
Bokneberg, Sindre; Langås, Even Falkenberg (Master thesis, 2021)This thesis proposes a full pipeline autonomous pick-and-place procedure, integrating perception, planning, grasping and control for execution of tasks towards long term industrial automation. Within perception, we demonstrate ... -
Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition
Zafar, Muhammad Hamza; Langås, Even Falkenberg; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)In this paper, a novel approach using a Henry Gas Solubility-based Stacked Convolutional Neural Network (HGS-SCNN) for hand gesture recognition using surface electromyography (sEMG) sensors is proposed. The stacked ... -
From Rigid to Hybrid/Soft Robots : Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming
Hua, Tuan; Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Journal article; Peer reviewed, 2023)This paper delves into the ethical, philosophical, and practical dimensions associated with the transition from caged robots to human-robot teaming (HRT). By exploring the evolving dynamics between humans and robots, this ... -
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0 : Exploring the Ethical and Philosophical Implications
Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Journal article; Peer reviewed, 2023)In the era of Industry 5.0, the convergence of humans and robots in collaborative work environments has brought forth the concept of digital twins (DTs) of humans and robots. These virtual replicas, mirroring their physical ... -
Pervasive and Connected Digital Twins for Edge Computing Enabled Industrial Applications
Sanfilippo, Filippo; Langås, Even Falkenberg; Bukhari, Halima; Robstad, Stian (Chapter; Peer reviewed, 2023)