← Search

Lap-Fai Yu

10 accepted papers

2024

An Evaluation Framework of Human-Robot Teaming for Navigation Among Movable Obstacles via Virtual Reality-Based Interactions

RA-L 2024

Robots are essential for tasks that are hazardous or beyond human capabilities. However, the results of the Defense Advanced Research Projects Agency (DARPA) Subterranean (SubT) Challenge revealed that despite various techniques for robot autonomy, human input is still required in some complex situa

Cited by 5SourceScholar
2023

Fed-HANet: Federated Visual Grasping Learning for Human Robot Handovers

RA-L 2023

Human-robot handover is a key capability of service robots, such as those used to perform routine logistical tasks for healthcare workers. Recent algorithms have achieved tremendous advances in object-agnostic end-to-end planar grasping with up to six degrees of freedom (DoF); however, compiling the

Cited by 11SourcecodeScholar
2022

WFH-VR: Teleoperating a Robot Arm to set a Dining Table across the Globe via Virtual Reality

IROS 2022poster

This paper presents an easy-to-deploy, virtual reality-based teleoperation system for controlling a robot arm. The proposed system is based on a consumer-grade virtual reality device (Oculus Quest 2) with a low-cost robot arm (a LoCoBot) to allow easy replication and set up. The proposed Work-from-H…

Cited by 22SourcecodeScholar
2019

Force-based Heterogeneous Traffic Simulation for Autonomous Vehicle Testing

ICRA 2019poster

Recent failures in real-world self-driving tests have suggested a paradigm shift from directly learning in real-world roads to building a high-fidelity driving simulator as an alternative, effective, and safe tool to handle intricate traffic environments in urban areas. To date, traffic simulation c…

Cited by 44SourceScholar
2019

Pose-Aware Placement of Objects with Semantic Labels - Brandname-based Affordance Prediction and Cooperative Dual-Arm Active Manipulation

IROS 2019poster

The Amazon Picking Challenge and the Amazon Robotics Challenge have shown significant progress in object picking from a cluttered scene, yet object placement remains challenging. It is useful to have pose-aware placement based on human and machine readable pieces on an object. For example, the brand…

Cited by 5SourcecodeScholar
2018

Deep Trail-Following Robotic Guide Dog in Pedestrian Environments for People who are Blind and Visually Impaired - Learning from Virtual and Real Worlds

ICRA 2018poster

Navigation in pedestrian environments is critical to enabling independent mobility for the blind and visually impaired (BVI) in their daily lives. White canes have been commonly used to obtain contact feedback for following walls, curbs, or man-made trails, whereas guide dogs can assist in avoiding…

Cited by 82SourceScholar
2018

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data

ECCV 2018poster

Urban zoning enables various applications in land use analysis and urban planning. As cities evolve, it is important to constantly update the zoning maps of cities to reflect urban pattern changes. This paper proposes a method for automatic urban zoning using higher-order Markov random fields (HO-MR…

Cited by 21SourcePDFScholar