Xinmeng Ma

dblp:336/5041 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0002-5079-4481ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
Legged, aerial and field robots · 87% Motion planning and robot control · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › underwater robotics
amphibious robot
0.612022
Design and Optimization of a Multimode Amphibious Robot With Propeller-Leg · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots › locomotion
amphibious robot locomotion
0.612022
Design and Optimization of a Multimode Amphibious Robot With Propeller-Leg · IEEE Trans. Robotics 2022

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

simulation · 0.6propeller-leg optimization · 0.6open water test · 0.6
YearPublicationVenuePosition
2026 A method for predicting mechanical properties of wet granular media based on machine learning with an integrated physical model
Xinmeng Ma, Weipeng Liu, Ning Zong, Yang Chang, Libin Zhao
Eng. Appl. Artif. Intell.1
2022 Design and Optimization of a Multimode Amphibious Robot With Propeller-Leg
abstract
This article describes the design, optimization, and performance evaluation of a novel multimode motion robot named SHOALBOT, which with multimode operations depends on only one type of propulsion device and can work flexibly in the amphibious environment including running on beaches, grasslands, seabed, and swimming in the water. Robots that work in water need to minimize the number of drive components to improve reliability and reduce communication pressure, our unique design enables the robot to rely on a kind of propulsion device named propeller-leg to have the ability to run rapidly in the seaside and seabed, and swim with multi-degrees-of-freedom in the water (such a propulsion system contains only four driving elements), and it can make the robot complete more work content and improve its adaptability to the environment. Running is more stable than swimming and will not disturb the animals in the water, but when the robot encounters a high obstacle with a large area coverage, switching the motion mode to the swimming mode can pass directly over obstacles instead of detouring or giving up work, this can improve work efficiency. We analyzed and optimized propeller-leg by simulation combined with the open water test, the propeller-leg's thrust in the water before and after optimization differs by 400% according to the test results. We optimized the minimum difference between the forward and reverse thrust of the propeller-leg to improve the stability of the robot movement process and optimized the difference from 25% to 3%. This article provides sufficient technical details and completeness, and through a series of performance evaluation experiments validated that the SHOALBOT has excellent movement ability in the amphibious environment compared with other published amphibious robots of the same size.
Xinmeng Ma, Gang Wang 0047
IEEE Trans. Robotics1