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Jonas Mariager Jakobsen

dblp:416/6822 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0007-2845-0520ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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
Human-robot interaction · 50% Haptics and multimodal interaction · 50%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic device actuation
stiffness modulation
0.912025
Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025
Human-robot interaction
teleoperation
0.912025
Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025
Robotics › Robot manipulation
remote operation
0.312025
Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025
Robotics › Robot manipulation › actuator design
variable stiffness
0.312025
Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025

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

user study · 1.7stiffness regulation policy · 1.7
YearPublicationVenuePosition
2025 Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study
abstract
Variable stiffness of a remote robot is crucial for a teleoperation system to deal with challenging tasks. External stiffness command interfaces have emerged as a promising solution to regulating the remote robot stiffness because of the benefits of their accuracy, ergonomics, and avoidance of the “coupling effect” that usually exists in muscle activity-based stiffness interfaces. However, the use of an external stiffness command interface requires good coordination between two limbs of an operator, which take care of the teleoperation task and the stiffness regulation task, respectively, at the same time, which is demanding for novice operators in dynamic situations necessitating agile and timely stiffness adjustments. In this paper, a new concept of Stiffness Regulation Co-pilot was proposed to facilitate the use of these interfaces. A co-pilot is a virtual agent that consists of a Stiffness Regulation Policy, which infers a reasonable stiffness regulation action from the task performance, and a feedback modality, which conveys the suggested stiffness regulation action to the operator. A preliminary user study was conducted to evaluate the efficacy of the co-pilot and the effect of different modalities of the co-pilot. The results showed that the cutaneous feedback or combined with another modality can potentially improve the task performance of the system and reduce the cognitive load of the operator compared to a teleoperation system without using the co-pilot.
Pedro Gomez Hernandez, Jonas Mariager Jakobsen, Claudio Pacchierotti, Francesco Chinello
ICRA2