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Yafeng Shu

dblp:164/8549 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › locomotion
hopping locomotion
0.212015
Parallel elastic actuation for efficient large payload locomotion · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.212015
Parallel elastic actuation for efficient large payload locomotion · ICRA 2015
Robotics › Robot manipulation › robot design › robot mechanism design
parallel elastic actuation
0.112015
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
YearPublicationVenuePosition
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 locomotion
abstract
For 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
ICRA2