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Daniel Ludvig

dblp:116/3279 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-0268-6686ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 61% Robot manipulation · 39%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
exoskeleton control
0.812024
Haptic Transparency and Interaction Force Control for a Lower Limb Exoskeleton · IEEE Trans. Robotics 2024
Robotics › Motion planning and robot control › robot control › force control
interaction force control
0.812024
Haptic Transparency and Interaction Force Control for a Lower Limb Exoskeleton · IEEE Trans. Robotics 2024
Robotics › Robot manipulation
physical human-robot interaction
0.812024
Haptic Transparency and Interaction Force Control for a Lower Limb Exoskeleton · IEEE Trans. Robotics 2024

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

whole-body dynamics · 0.8constrained optimization · 0.8closed-loop compensation · 0.8
YearPublicationVenuePosition
2024 Haptic Transparency and Interaction Force Control for a Lower Limb Exoskeleton
abstract
Controlling the interaction forces between a human and an exoskeleton is crucial for providing transparency or adjusting assistance or resistance levels. However, it is an open problem to control the interaction forces of lower-limb exoskeletons designed for unrestricted overground walking. For these types of exoskeletons, it is challenging to implement force/torque sensors at every contact between the user and the exoskeleton for direct force measurement. Moreover, it is important to compensate for the exoskeleton's whole-body gravitational and dynamical forces, especially for heavy lower-limb exoskeletons. Previous works either simplified the dynamic model by treating the legs as independent double pendulums, or they did not close the loop with interaction force feedback. The proposed whole-exoskeleton closed-loop compensation (WECC) method calculates the interaction torques during the complete gait cycle by using whole-body dynamics and joint torque measurements on a hip-knee exoskeleton. Furthermore, it uses a constrained optimization scheme to track desired interaction torques in a closed loop while considering physical and safety constraints. We evaluated the haptic transparency and dynamic interaction torque tracking of WECC control on three subjects. We also compared the performance of WECC with a controller based on a simplified dynamic model and a passive version of the exoskeleton. The WECC controller results in a consistently low absolute interaction torque error during the whole gait cycle for both zero and nonzero desired interaction torques. In contrast, the simplified controller yields poor performance in tracking desired interaction torques during the stance phase
Emek Baris Küçüktabak, Yue Wen, Sangjoon J. Kim, Matthew R. Short, Daniel Ludvig, Levi J. Hargrove, Eric J. Perreault, Kevin M. Lynch, José Luis Pons Rovira
IEEE Trans. Robotics5