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Wenlong Gaozhang

dblp:319/6906 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-0600-6433ORCID · 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 2021Applied, 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
2 papers
Robot manipulation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware reliability and fault tolerance · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft continuum robot
0.912025
A Static Modeling and Evaluation Framework for Soft Continuum Robots With Reinforced Chambers · IEEE Trans. Robotics 2025
Robotics › Robot manipulation › soft robotics
soft robot modeling
0.912025
A Static Modeling and Evaluation Framework for Soft Continuum Robots With Reinforced Chambers · IEEE Trans. Robotics 2025
Robotics › Robot manipulation › industrial robot
collaborative robot
0.712023
Characterisation of Antagonistically Actuated, Stiffness-Controllable Joint-Link Units for Cobots · ICRA 2023
Robotics › Robot manipulation › soft robotics
soft robot design
0.312025
A Static Modeling and Evaluation Framework for Soft Continuum Robots With Reinforced Chambers · IEEE Trans. Robotics 2025

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

experimental characterization · 1.3static modeling · 0.9
YearPublicationVenuePosition
2025 A Static Modeling and Evaluation Framework for Soft Continuum Robots With Reinforced Chambers
Jialei Shi, Hanyu Jin, Sara-Adela Abad, Wenlong Gaozhang, Ge Shi 0005, Helge A. Wurdemann
IEEE Trans. Robotics4
2023 Characterisation of Antagonistically Actuated, Stiffness-Controllable Joint-Link Units for Cobots
abstract
Soft robotic structures may play a major role in the 4th industrial revolution. Researchers have successfully demonstrated the advantages of soft robotics over traditional robots made of rigid links and joints in many application areas. Variable stiffness links (VSL) and joints (VSJ) have been investigated to achieve on-demand forces and, at the same time, be inherently safe in interactions with humans. However, a thorough characterisation of soft and rigid robotic components is still required. This paper investigates the influence of antagonistically actuated, stiffness-controllable joint-link units (JLUs) on the performance of collaborative robots (i.e. stiffness, load capacity, repetitive precision) and characterizes the difference compared with rigid units. A JLU is made of a combination of a VSL, a VSJ, and their rigid counterparts. Experimental results show that the VSL has minor differences in terms of stiffness (0.62 ∼ 0.95), output force (0.93 ∼ 0.94), and repetitive precision compared with the rigid link. For the VSJ, our results show a significant gap compared with the servo motor with regards to maximum stiffness (0.14 ∼ 0.21) and repetitive position precision (0.07 ∼ 0.25). However, similar performance on repetitive force precision and better performance on the maximum output force (1.54 ∼ 1.55 times) are demonstrated.
Wenlong Gaozhang, Jialei Shi, Agostino Stilli, Helge A. Wurdemann
ICRA1