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Mads Antonsen

dblp:375/5085 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-6757-0871ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%
Computer networks
1 paper
Cellular and mobile networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
haptic teleoperation
0.812024
Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet · ICRA 2024
Haptics and multimodal interaction › haptic teleoperation
model-mediated teleoperation
0.812024
Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet · ICRA 2024
Cellular and mobile networks › ultra-low latency services
tactile internet
0.212024
Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet · ICRA 2024

Methods — techniques the papers use, named apart from their topics

point cloud-based force rendering · 1.5octree-based modeling · 1.5just-noticeable-difference estimation · 1.5
YearPublicationVenuePosition
2024 Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet
abstract
In this paper, we propose a model-mediated tele-operation (MMT) system using an octree-based model (OBM) to spatially map the environment impedance for the emerging use cases in Tactile Internet. Different from the existing just-noticeable-difference (JND) based MMT, our method avoids continuous transmission of environment impedance. Moreover, it allows the local model to generate accurate force feedback and reduces the number of model updates. Furthermore, the OBM can be deployed with or without previous knowledge of the environment. An online estimation of the OBM is proposed using a JND and a rate-of-change threshold. An offline estimation method is also proposed when the geometry and impedance parameters of the remote environment are known. In addition, a point cloud-based force rendering algorithm is tailored to use the OBM, thereby allowing the generating of force feedback for complex environments. An experiment without human-in-the-loop was conducted, showing that for an online estimated OBM, the accuracy of the force feedback was improved by up to 44 percent while using less than half the number of model updates when compared to JND-based MMT. Another experiment with a human operator interacting with a virtual environment showed that using an offline estimated OBM improves the accuracy of the force feedback and is reliable against packet loss and short temporal breakdown of the communication link.
Mads Antonsen, Francesco Chinello, Qi Zhang 0013
ICRA1