Quan Khanh Luu — accepted AI-conference papers

2025

A Distributed Multi-Modal Sensing Approach for Human Activity Recognition in Real-Time Human-Robot Collaboration

Valerio Belcamino, Nhat Dinh Minh Le, Quan Khanh Luu, Alessandro Carfì, Van Anh Ho, Fulvio Mastrogiovanni

RA-L 2025

Human activity recognition (HAR) is fundamental in human-robot collaboration (HRC), enabling robots to respond to and dynamically adapt to human intentions. This paper introduces a HAR system combining a modular data glove equipped with Inertial Measurement Units and a vision-based tactile sensor to

Cited by 1 Source ↗Scholar ↗

2025

Vi2TaP: A Cross-Polarization Based Mechanism for Perception Transition in Tactile-Proximity Sensing With Applications to Soft Grippers

Nhan Huu Nguyen, Nhat Dinh Minh Le, Quan Khanh Luu, Tuan Tai Nguyen, Van Anh Ho

RA-L 2025

Vision-based soft sensors have emerged as a promising solution for multi-modal sensory systems. Rather than relying on complex integrations of numerous specialized sensors, these devices are advantageous in achieving multiple perceptual capabilities with a single device. However, the unsolved bottle

Cited by 4 Source ↗Scholar ↗

2024

ConTac: Continuum-Emulated Soft Skinned Arm with Vision-based Shape Sensing and Contact-aware Manipulation

Tuan Tai Nguyen, Quan Khanh Luu, Dinh Quang Nguyen, Van Ho

RSS 2024poster

Robotic systems employing continuum bodies offer a high degree of dexterity, which provides advantages in terms of accuracy and safety when operating in cluttered environments. However, current methods of describing posture or detecting contact for such continuum structures are focusing on bespoke d…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

TacLink-Integrated Robot Arm toward Safe Human-Robot Interaction

Quan Khanh Luu, Alessandro Albini, Perla Maiolino, Van Anh Ho

IROS 2024poster

Recent developments in vision-based tactile sensing offer a simple means to enable robots to perceive touch interactions. However, existing sensors are primarily designed for small-scale applications like robotic hands, lacking research on their integration for large-sized robot bodies that can be l…

Cited by 2 Source ↗Scholar ↗

2020

Wet Adhesion of Micro-patterned Interfaces for Stable Grasping of Deformable Objects

Pho Van Nguyen, Quan Khanh Luu, Yuzuru Takamura, Van Anh Ho

IROS 2020poster

Stable grip of wet, deformable objects is a challenging task for robotic grasping and manipulation, especially for food products' handling. The wet, slippery interfaces between the object and robotic fingers may require larger gripping force, resulting in higher risk of damaging the grasped object.…

Cited by 23 Source ↗Scholar ↗