PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 21, 2026Journal of Mechanisms and Robotics0 citations

Analysis and Design of a Novel Compact Four-Degree-of-Freedom Parallel Robot with unlimited rotation

View Full Paper
GAGrover AruquipaVMVimalesh MuralidharanPLPatrice Lambert

Key Points

  • The research aims to develop a parallel robot with high rotational flexibility and precision for various applications.
  • Designed a compact four-degree-of-freedom parallel robot.
  • Analyzed its mobility and inverse kinematics.
  • Examined the Jacobian matrices for motion analysis.
  • Determined the workspace under mechanical constraints for unlimited rotation.
  • Created a CAD model to visualize the design.
  • Demonstrated the ability to achieve unlimited rotation about a designated axis.
  • Showed improved load capacity and precision compared to existing models.
  • Identified a specific workspace region enabling unrestricted movement.

Abstract

Abstract Parallel robots are known for their high stiffness, excellent load capacity, and precision; however, their rotational capabilities are often limited. To address this challenge, we propose a novel compact four-degree-of-freedom (4-DoF) parallel robot, that can position a point P in space and perform an unlimited rotation about a specific axis passing through this point. The mechanism is intended to be used as a leg in a kinematically redundant parallel robot, with all actuators mounted on the base to minimize inertia and reduce potential collisions and singularities. This paper presents a comprehensive analysis of the robot's design, including its mobility, inverse kinematics, Jacobian matrices, workspace under mechanical constraints (with explicit identification of the region that admits unlimited rotation), and a CAD model of the robot.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Aruquipa et al. (2026) studied this question.

synapsesocial.com/papers/69be38906e48c4981c679175https://doi.org/10.1115/1.4071420
Ask AI
Helpful
Bookmark
Share
View Full Paper