SCPR: A Slider–Crank-Inspired 2R1T Parallel Robot Enables High Orientation Capability Without Parasitic Motion

For parallel robots with two rotations and one translation, a great design challenge is to achieve high orientation capability while eliminating undesired parasitic motion. To cope with it, this study proposes and develops a slider–crank-inspired parallel robot. This novel mechanism follows a seven-stage evolutionary process originally from planar slider–crank mechanisms, sticking to three major design principles (symmetrical design, actuation redundancy, and articulated moving platform). Several slider–crank mechanisms with a centric layout are adopted to obtain zero crank angle and are arranged symmetrically and redundantly, which brings a large orientation workspace without singularity and high-quality transmission performance. By using an articulated platform, the adopted centric slider–crank mechanisms share one common rotation center to eliminate parasitic motion. Furthermore, all the kinematic pairs are single-degree-of-freedom joints—except for four active prismatic joints, the remains are revolute joints—that can reduce interference. Theoretical and experimental results lead to several major conclusions: 1) the built robot exhibits an outstanding orientation capability, capable of tilting up to 70° in all directions; 2) the articulated moving platform can rotate exclusively about one point, demonstrating zero parasitic motion; and 3) the robot possesses simple forward and decoupled kinematics, partially attributed to the simplicity of slider–crank mechanisms.

Authors

Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-03-12
DOI
https://doi.org/10.1109/tmech.2025.3543506
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SCPR: A Slider–Crank-Inspired 2R1T Parallel Robot Enables High Orientation Capability Without Parasitic Motion

Congzhe Wang, Changqi Zhang, Mingming Zhang, Wei Ye
1 citations
IEEE/ASME Transactions on Mechatronics
Modular Robots and Swarm Intelligence
0.71
article

SCPR: A Slider–Crank-Inspired 2R1T Parallel Robot Enables High Orientation Capability Without Parasitic Motion

Congzhe Wang, Changqi Zhang, Mingming Zhang, Wei Ye
article en
1 citations

Abstract

For parallel robots with two rotations and one translation, a great design challenge is to achieve high orientation capability while eliminating undesired parasitic motion. To cope with it, this study proposes and develops a slider–crank-inspired parallel robot. This novel mechanism follows a seven-stage evolutionary process originally from planar slider–crank mechanisms, sticking to three major design principles (symmetrical design, actuation redundancy, and articulated moving platform). Several slider–crank mechanisms with a centric layout are adopted to obtain zero crank angle and are arranged symmetrically and redundantly, which brings a large orientation workspace without singularity and high-quality transmission performance. By using an articulated platform, the adopted centric slider–crank mechanisms share one common rotation center to eliminate parasitic motion. Furthermore, all the kinematic pairs are single-degree-of-freedom joints—except for four active prismatic joints, the remains are revolute joints—that can reduce interference. Theoretical and experimental results lead to several major conclusions: 1) the built robot exhibits an outstanding orientation capability, capable of tilting up to 70° in all directions; 2) the articulated moving platform can rotate exclusively about one point, demonstrating zero parasitic motion; and 3) the robot possesses simple forward and decoupled kinematics, partially attributed to the simplicity of slider–crank mechanisms.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Chongqing University of Posts and Telecommunications (CN), Sinopec (China) (CN), Zhejiang Sci-Tech University (CN), Southern University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Openalex Percentile: Top 35%
Modular Robots and Swarm Intelligence
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.