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About

Hung Van Hoang is a robotics researcher whose work spans tactile sensing, motion planning, and robotic manipulation. His most impactful contribution is the development of a highly sensitive flexible proximity tactile array sensor using carbon micro coils (2017, 41 citations), a novel approach that enables robots to detect objects before physical contact—critical for safe human-robot interaction. In motion planning, Hoang has made significant advances for nonholonomic mobile robots, integrating RRT*, potential fields, and Dubins curves to generate shortest smooth paths (2021, 12 citations), and later optimizing this with genetic algorithms for car-like robots (2023, 4 citations). His work on dual 3-DOF manipulators introduces master-slave and cross-coupling control algorithms for synchronized operation over CAN networks (2023, 3 citations), addressing coordination challenges in multi-arm systems. Hoang also tackles practical perception problems, developing an inexpensive stereo camera system using PSMNet for disparity estimation (2023, 2 citations), making 3D sensing more accessible for mobile robots. His research demonstrates a consistent focus on bridging theoretical algorithms with real-world robotic applications, from sensing to planning to control.