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20152025
most citedOptical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing

42 citations · 45 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.RO2025

Vertical Planetary Landing on Sloped Terrain Using Optical Flow Divergence Estimates

Hann Woei Ho, Ye Zhou

Autonomous landing on sloped terrain poses significant challenges for small, lightweight spacecraft, such as rotorcraft and landers. These vehicles have limited processing capabili…

cs.RO2025

Hierarchical Deep Deterministic Policy Gradient for Autonomous Maze Navigation of Mobile Robots

Wenjie Hu, Ye Zhou, Hann Woei Ho

Maze navigation is a fundamental challenge in robotics, requiring agents to traverse complex environments efficiently. While the Deep Deterministic Policy Gradient (DDPG) algorithm…

cs.RO2025

CPP-DIP: Multi-objective Coverage Path Planning for MAVs in Dispersed and Irregular Plantations

Weijie Kuang, Hann Woei Ho, Ye Zhou

Coverage Path Planning (CPP) is vital in precision agriculture to improve efficiency and resource utilization. In irregular and dispersed plantations, traditional grid-based CPP of…

cs.RO2025

ForaNav: Insect-inspired Online Target-oriented Navigation for MAVs in Tree Plantations

Weijie Kuang, Hann Woei Ho, Ye Zhou +1

Autonomous Micro Air Vehicles (MAVs) are becoming essential in precision agriculture to enhance efficiency and reduce labor costs through targeted, real-time operations. However, e…

cs.RO2023

Autonomous Navigation of Micro Air Vehicles in Warehouses Using Vision-based Line Following

Ling Shuang Soh, Hann Woei Ho

In this paper, we propose a vision-based solution for indoor Micro Air Vehicle (MAV) navigation, with a primary focus on its application within autonomous warehouses. Our work cent…

cs.RO2023★ 2 cited

Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach

Hann Woei Ho, Ye Zhou

This paper presents a novel approach for optical flow control of Micro Air Vehicles (MAVs). The task is challenging due to the nonlinearity of optical flow observables. Our propose…

cs.RO2015★ 42 cited

Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing

H. W. Ho, C. De Wagter, B. D. W. Remes +1

Monocular optical flow has been widely used to detect obstacles in Micro Air Vehicles (MAVs) during visual navigation. However, this approach requires significant movement, which r…