Shaohui Foong

Associate Professor

Singapore University of Technology and Design

Singapore

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About

Shaohui Foong is an Associate Professor at the Singapore University of Technology and Design. His research focuses on hybrid robotic systems, optimization methods for sensor configurations, and aerial-terrestrial locomotion. Recent publications include innovations in land-air robots, lightweight monocopters, and advanced techniques for visual inspection in aviation. Professor Foong's work emphasizes the intersection of design, mechanics, and automated systems.

Articles (20)

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2025

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2022

Collaborators (2)

Terry Ching

Wyss Institute for Biologically Inspired Engineering

UNITED STATES

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U-Xuan Tan

Associate Professor

Singapore University of Technology and Design

SINGAPORE

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Shaohui Foong

Research Interests

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About

Articles (20)

ATOM: Design and development of a novel two-actuator hybrid land-air robot

Mass distribution affects the circle or hypotrochoid trajectory of the maple seed

A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal

Design and Optimization of a Samara-Inspired Lightweight Monocopter for Extended Endurance

Enhancing Remote Inspection With Hybrid Aerial–Terrestrial Locomotion Using a Minimalist Passive Multilegged System

Minimal Relative Pose Estimation Using Translation-Decoupled Rotation for Planar Scenario

QuadRotary: Design and Control of In-Flight Transition Between Quadcopter and Rotary-Wing

Crawling, climbing, perching, and flying by FiBa soft robots

A Robust High-Strength Multi-Surface Rapid UV-Curable Payload Installation System for Generic Multirotors via Impact Delivery

CNN-Based Camera Pose Estimation and Localization of Scan Images for Aircraft Visual Inspection

Nature-inspired in-flight foldable rotorcraft

Design and control of an aerial-ground tethered tendon-driven continuum robot with hybrid routing

An Efficient Multimodal Nature‐Inspired Unmanned Aerial Vehicle Capable of Agile Maneuvers

An Efficient Multimodal Nature‐Inspired Unmanned Aerial Vehicle Capable of Agile Maneuvers

A Self-Rotary Aerial Robot With Passive Compliant Variable-Pitch Wings

Enhanced Automated Determination of Optimal Positions for Electroencephalography (EEG) Electrode Placements using Data-Driven Hybrid Machine Learning (ML) Models

Marker-Based Localization System Using an Active PTZ Camera and CNN-Based Ellipse Detection

Modeling, Control and Implementation of Adaptive Reconfigurable ROtary Wings (ARROWs)

Design, Modeling and Control of a Two Flight Mode Capable Single Wing Rotorcraft With Mid-Air Transition Ability

Spherical Indoor Coandă Effect Drone (SpICED): A Spherical Blimp sUAS for Safe Indoor Use

Collaborators (2)

Terry Ching

U-Xuan Tan

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