Phan Xuan Tan

Assistant Professor

Shibaura Institute of Technology

Japan

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About

Dr. Phan Xuan Tan is an Assistant Professor at the Shibaura Institute of Technology in Japan. His research expertise includes robotics, specifically focusing on grasp generation, object pose estimation, and control systems under challenging conditions. Recent articles highlight innovations in depth-guided monocular pose estimation and resilient consensus control for robotic manipulators. His work also explores advanced techniques in visual-to-geometric feature reconstruction and image editing.

Articles (29)

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2021

Collaborators (1)

CHANH TRAN

Project Assistant Professor

Systems Research Institute

JAPAN

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Phan Xuan Tan

Research Interests

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About

Articles (29)

Text-guided RGB-P grasp generation

Vote-based multimodal fusion for hand-held object pose estimation

Resilient consensus control for networked robotic manipulators under actuator faults and deception attacks

Robust adaptive nonlinear PID controller using radial basis function neural network for ballbots with external force

Depth-Guided Monocular Object Pose Estimation for Warehouse Automation

LightEdit: Textual Image Editing With Lightweight Stable Diffusion

Type 2 Fuzzy Consensus Control for Leader-Follower Multiple Euler-Lagrange System Under Faults and Deception Attack

Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection

Visibility Aware In-Hand Object Pose Tracking in Videos With Transformers

Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera

Enabling Self-Practice of Digital Audio–Tactile Maps for Visually Impaired People by Large Language Models

SVD-Based Mind-Wandering Prediction from Facial Videos in Online Learning

A Unified Framework for Depth-Assisted Monocular Object Pose Estimation

Attention-Based Grasp Detection With Monocular Depth Estimation

Efficient Multimodal Fusion for Hand Pose Estimation With Hourglass Network

Multi-Modal Hand-Object Pose Estimation With Adaptive Fusion and Interaction Learning

Object Pose Estimation Using Color Images and Predicted Depth Maps

Occlusion-Robust Pallet Pose Estimation for Warehouse Automation

IRDC-Net: Lightweight Semantic Segmentation Network Based on Monocular Camera for Mobile Robot Navigation

Clarifying Optimum Setting Temperatures for In-Flight Personal Air Conditioning System Considering Individual Thermal Sensitivity Characteristics

Hourglass 3D CNN for Stereo Disparity Estimation for Mobile Robots

Simulation-Based Designing of Suitable Stimulation Factors for Presenting Two Phosphenes Simultaneously to Lower Side of Field of View

Repetition-Based Approach for Task Adaptation in Imitation Learning

Novel Projection Schemes for Graph-Based Light Field Coding

Sprinkle Prebuffer Strategy to Improve Quality of Experience with Less Data Wastage in Short-Form Video Streaming

An Experimental Study of the Server-based Unfairness Solutions for the Cross-Protocol Scenario of Adaptive Streaming over HTTP/3 and HTTP/2

Clarifying Optimum Setting Temperatures and Airflow Positions for Personal Air Conditioning System on Flight

Design of Electrode Placement for Presenting Phosphenes in the Lower Visual Field Based on Electric Field Simulation

Simulation-Based Clarification of Appropriate Factors for Presenting Phosphene in Two Directions Avoiding Electrical Interference

Collaborators (1)

CHANH TRAN

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