Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zhenwei Wen
dblp:383/4506
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
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.
| Artificial intelligence
1 paper |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.8 | 1 | 2024 | Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping · ICRA 2024 |
Robotics › Robot manipulation › soft robotics
soft robotic finger |
0.8 | 1 | 2024 | Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping · ICRA 2024 |
Robotics › Robot manipulation › actuator design
variable stiffness |
0.8 | 1 | 2024 | Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping · ICRA 2024 |
Accessibility and assistive technology
assistive technology |
0.2 | 1 | 2024 | Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
particle jamming · 1.5memory alloy actuator · 1.5liquid metal strain sensor · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode GraspingabstractThis paper presents a novel Bionic Soft Finger (BSF) that aims to overcome the limitations of conventional rigid manipulators in terms of adaptability and safety, as well as the challenges faced by soft hands regarding carrying capacity and stability. The BSF design uses a hybrid variable stiffness mechanism combining memory alloy actuators with particle jamming to achieve the desired bending angle and actuator stiffness. Our innovative approach utilizes a bionic finger design that incorporates a memory alloy skeleton and a water-cooled recirculation system, leading to a substantial reduction in the time required for each operation. Through the integration of particle jamming, we have enhanced the overall stiffness and performance of the manipulator, enabling load capacities of up to 3N per finger and more than twice the stiffness of a normal condition. Additionally, our design enables multimode grasping and incorporates a liquid metal strain sensor (METT) for real-time monitoring of finger bending angles. Comparative analyses demonstrate that our design exhibits superior stiffness and enables five-mode grasping in comparison to pneumatic actuators. We believe that bionic soft fingers present a promising solution for enhancing adaptability, safety, and performance in human-robot interaction applications. Xiangbo Wang, Hongze Yu, Zhenwei Wen, Lide Fang, Huaping Liu 0001, Fuchun Sun 0001, Lixue Tang, Bin Fang 0003 |
ICRA | 4 |