Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yafeng Shu
dblp:164/8549
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 since 2021Systems, architecture and hardware · 1
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 |
Legged, aerial and field robots · 87% Robot manipulation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › locomotion
hopping locomotion |
0.2 | 1 | 2015 | Parallel elastic actuation for efficient large payload locomotion · ICRA 2015 |
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.2 | 1 | 2015 | Parallel elastic actuation for efficient large payload locomotion · ICRA 2015 |
Robotics › Robot manipulation › robot design › robot mechanism design
parallel elastic actuation |
0.1 | 1 | 2015 | Parallel elastic actuation for efficient large payload locomotion · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2parameter optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Pgcnn: an interpretable graph convolutional neural network for predicting the mechanical properties of Ti-6Al-4V alloy
Yafeng Shu, Canglong Wang, Shaohui Wang |
Appl. Intell. | 3 |
| 2015 | Parallel elastic actuation for efficient large payload locomotionabstractFor legged devices, their ability of carrying payload is a necessity for a wide range of tasks. In this paper, we present a new approach of carrying payload by using a parallel elastic mechanism, which is able to carry payloads of at least 3 times of its bodyweight. Although the robot has no sensory feedback and consists of only two rigid bodies and one spring loaded joint, it is able to achieve efficient and stable forward hopping for a wide range of attached payload. The presented payload carrier ETH Cargo is based on the further development of our platform CHIARO for the payload range between 0 and 100kg. After parameter optimization using simulations, a series of real world experiments prove stable and high efficiency hopping of the prototype over a wide range of payloads. Fabian Günther, Yafeng Shu, Fumiya Iida |
ICRA | 2 |