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Song Huat Yeo

Researcher at Nanyang Technological University

Publications -  92
Citations -  2605

Song Huat Yeo is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Kinematics & Parallel manipulator. The author has an hindex of 27, co-authored 90 publications receiving 2295 citations. Previous affiliations of Song Huat Yeo include Rolls-Royce Motor Cars.

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Journal ArticleDOI

Force-closure workspace analysis of cable-driven parallel mechanisms

TL;DR: In this article, a general approach is proposed to check the force-closure condition of a cable-driven parallel mechanism (CDPM), which is expressed in terms of the convex hull which encloses the origin.
Journal Article

A Review on the Use of Robots in Education and Young Children.

TL;DR: The effectiveness of using robots in studies published within the last decade is assessed as having four sub-factors--the study type done by the researcher, the influence of the robots on the behaviour and development of students, the perception of stakeholders (parents, educators and children) about the robots, and the importance of design or robot appearance.
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Local POE model for robot kinematic calibration

TL;DR: In this article, a robot kinematic calibration method based on the local frame representation of the Local POE formula is introduced, where the twist coordinates of the joint axes are expressed in their respective local (body) frames.
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A Wearable Sensing System for Tracking and Monitoring of Functional Arm Movement

TL;DR: A new sensing system for home-based rehabilitation based on optical linear encoder (OLE), in which the motion of an optical encoder on a code strip is converted to the limb joints' goniometric data, has strong potential as an inexpensive tool for motion capture and arm-function evaluation.
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Workspace analysis of fully restrained cable-driven manipulators

TL;DR: It is shown that the workspace can be generally formed from tension conditions verified by a recursive dimension-reduction approach and that the optimal TF value at every pose can be efficiently determined through a linear optimization approach, although it is essentially a nonlinear optimization problem.