Hoang-Dung Bui

University of Nevada, Reno, George Mason University

Papers

Total Citations

H-Index

About

Hoang-Dung Bui is a robotics researcher whose work centers on autonomous manipulation, motion planning, and field robotics. His most cited paper, "A Deep Learning-Based Autonomous Robot Manipulator for Sorting Application" (2020, 13 citations), introduces a system that leverages RGB-D data for object sorting, advancing industrial automation through deep learning-driven grasping. Bui also tackles the challenge of motion planning with dynamics in his 2022 work (5 citations), where he improves sampling-based planners by using runtime predictions to generate collision-free, dynamically-feasible trajectories—a critical step for real-world robot navigation. Additionally, his 2020 paper on a "Control Framework for a Hybrid-steel Bridge Inspection Robot" (2 citations) proposes a novel control system for autonomous steel bridge inspection, reducing the need for human intervention in hazardous environments. These contributions highlight Bui’s focus on bridging perception, planning, and control to create practical robotic solutions for sorting, navigation, and infrastructure inspection. His work demonstrates a commitment to enhancing robot autonomy in complex, dynamic settings, with potential applications spanning manufacturing, logistics, and civil engineering.