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Liheng Mao

dblp:304/4208 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—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
Legged, aerial and field robots · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
legged robots
0.512021
Stair Climbing Capability-Based Dimensional Synthesis for the Multi-legged Robot · ICRA 2021
Robotics › Legged, aerial and field robots › legged robots
legged robot design
0.512021
Stair Climbing Capability-Based Dimensional Synthesis for the Multi-legged Robot · ICRA 2021
Robotics › Legged, aerial and field robots › rough terrain locomotion
stair climbing
0.512021
Stair Climbing Capability-Based Dimensional Synthesis for the Multi-legged Robot · ICRA 2021

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

tripod gait · 0.5dimensional synthesis · 0.5
YearPublicationVenuePosition
2021 Stair Climbing Capability-Based Dimensional Synthesis for the Multi-legged Robot
abstract
Staircase is a typical obstacle for the legged robot to overcome in buildings. This paper studies the stair climbing capability-based dimensional synthesis for a hexapod legged robot, i.e., exploring how to determine the leg length and the longitudinal body length concerning the target staircase in the mechanical design stage. In climbing a staircase, leg-staircase interference is one of the predominant issues. The three possible interference cases are illustrated in detail with a 2-DOF (degree of freedom) leg mechanism and the staircase size, based on the predefined tripod gait sequence. The mathematical relationships between the leg length, longitudinal body length, and the target staircase size are derived. The leg length and the body length are finally determined with the target staircase size. The virtual simulations and prototype experiments verify the effectiveness of the dimensional synthesis for the hexapod robot.
Chenkun Qi, Xianbao Chen, Liheng Mao, Feng Gao 0011
ICRA4