Quan Khanh Luu

ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning

Quan Khanh Luu*, Pokuang Zhou*, Zhengtong Xu*, Zhiyuan Zhang, Qiang Qiu, Yu She

under review, 2026

Oral Presentation, New England Manipulation Symposium 2025

Best Paper Award & Oral Presentation, Sense of Space Workshop, CVPR 2026

[arXiv] [Website] [Video] [BibTex]

ManiFeel presents a reproducible and scalable simulation benchmark for studying supervised visuotactile policy learning.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation

Pengyuan Guo*, Zhonghao Mai*, Zhengtong Xu*, Kaidi Zhang, Quan Khanh Luu, Heng Zhang, Zichen Miao, Arash Ajoudani, Zachary Kingston, Qiang Qiu, Yu She

under review, 2026

[arXiv] [Code (soon)] [Website] [BibTex]

PLanAR is a planning-language-grounded agentic reasoning framework for long-horizon robot manipulation.

Vision-based Proximity and Tactile Sensing for Robot Arms: Design, Perception, and Control

Quan Khanh Luu, Dinh Quang Nguyen, Nhan Huu Nguyen, Nam Phuong Dam, Van Anh Ho

IEEE Transaction on Robotics (T-RO), 2025

[Paper] [Code] [Website] [Video] [BibTex]

Based on our previous work on ProTac, this study enhances its multi-modal sensing performance and control integration for safer, more versatile robot operation in contact-rich environments.

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

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

IEEE Robotics and Automation Letters (RA-L), 2025

[Paper] [Video] [BibTex]

This study introduces Vi2TaP, a cross-polarization-based multimodal soft gripper that seamlessly switches between tactile and proximity sensing.

TacLink-Integrated Robot Arm toward Safe Human-Robot Interaction

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

IROS 2024

[Paper] [Code] [Video] [BibTex]

This study explores the use of TacLink, a soft vision-based tactile link, as a safety control mechanism that can potentially replace conventional rigid robot links and impact observers.

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 Anh Ho

RSS 2024

[Paper] [Code] [Website] [Video] [BibTex]

This study introduces ConTac, a vision-based tactile sensing system for continuum-emulated robot arms with soft skin, enabling posture and contact detection.

Simulation, Learning, and Application of Vision-Based Tactile Sensing at Large Scale

Quan Khanh Luu, Nhan Huu Nguyen, Van Anh Ho

IEEE Transaction on Robotics (T-RO), 2023

[Paper] [Code] [Video] [BibTex]

This study introduces SimTacLS, a physics-informed simulation and learning pipeline designed for large-area soft vision-based tactile sensors.

Soft Robotic Link with Controllable Transparency for Vision-based Tactile and Proximity Sensing

Quan Khanh Luu, Dinh Quang Nguyen, Nhan Huu Nguyen, Van Anh Ho

IEEE RoboSoft 2023

[Paper] [Code] [Website] [Video] [BibTex]

This study presents ProTac, a novel soft robotic link with integrated tactile and proximity sensing.

Tombo Propeller: Bioinspired Deformable Structure Toward Collision-Accommodated Control for Drone

Son Tien Bui, Quan Khanh Luu, Dinh Quang Nguyen, Nhat Minh Dinh Le, Giuseppe Loianno, Van Anh Ho

IEEE Transaction on Robotics (T-RO), 2023

[Paper] [Code] [Website] [Video] [BibTex]

This study introduces Tombo, a soft deformable propeller, and demonstrates a control strategy enabling drones with Tombo to recover from midair collisions and resume flight.

A 3-Dimensional Printing System Using an Industrial Robotic Arm

Quan Khanh Luu, Hung Manh La, Van Anh Ho

IEEE/SICE SII 2021

[Paper] [Video] [BibTex]

This study introduces robot-assisted 3D printing on complex surfaces, paving the way for seamless human-robot collaboration in interactive manufacturing.

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

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

IROS 2020

[Paper] [Video] [BibTex]

Inspired by tree frogs, this study showcases a micro-patterned soft gripper pad that enables stable, damage-free manipulation of wet deformable objects in robotic food handling.