Marcelo Ang

Associate Professor

National University of Singapore (NUS)

Singapore

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About

Dr. Marcelo Ang is an Associate Professor at the National University of Singapore. His research areas focus on robotics, specifically in perception-based learning, autonomous systems, and robotic motion planning. Recent publications include work on multi-robot patrolling, human-like compliance control in assembly robotics, and visual object tracking models. He is dedicated to advancing the field of robotics through innovative methodologies and practical applications.

Articles (19)

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2025

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2022

Collaborators (2)

Ziyuan Huang

National University of Singapore (NUS)

SINGAPORE

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Wei-Yun Yau

Department Head

Institute for Infocomm Research

SINGAPORE

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Marcelo Ang

Research Interests

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About

Articles (19)

Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking With a Low-Cost Camera

RoboMT: Human-Like Compliance Control for Assembly via a Bilateral Robotic Teleoperation and Hybrid Mamba-Transformer Framework

SGSIN: Simultaneous Grasp and Suction Inference Network via Attention-Based Affordance Learning

Dynamic Task Assignment of Multiple Heterogeneous Autonomous Aerial Vehicles Based on Consensus With Uncertainties

DINO-MOT: 3D Multi-Object Tracking With Visual Foundation Model for Pedestrian Re-Identification Using Visual Memory Mechanism

URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning

DriveSceneGen: Generating Diverse and Realistic Driving Scenarios From Scratch

High-Fidelity and Curvature-Continuous Path Smoothing With Quadratic Bézier Curve

GCM: Efficient video recognition with glance and combine module

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning

EM-Patroller: Entropy Maximized Multi-Robot Patrolling With Steady State Distribution Approximation

Research on Robotic Compliance Control for Ultrasonic Strengthening of Aviation Blade Surface

Design of a Liquid Jamming Gripper

Hot-NetVLAD: Learning Discriminatory Key Points for Visual Place Recognition

LWOSNet: A Lightweight One-Shot Network Framework for Object Pose Estimation

FISS: A Trajectory Planning Framework Using Fast Iterative Search and Sampling Strategy for Autonomous Driving

BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling

Online Obstacle Trajectory Prediction for Autonomous Buses

Motion Planning for Mobile Manipulators—A Systematic Review

Collaborators (2)

Ziyuan Huang

Wei-Yun Yau

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