57 citations · 113 across the 6 of their papers we have counts for
6 papers
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning
Hoang-Giang Cao, I Lee, Bo-Jiun Hsu +4
Deep reinforcement learning has achieved significant results in low-level controlling tasks. However, for some applications like autonomous driving and drone flying, it is difficul…
Distributed Fixed-Time Consensus Control for Multiple AUV Systems with Input Saturations
Mien Van, Yuzhu Sun, Stephen Mcllvanna +4
This study proposes a new distributed control method based on an adaptive fuzzy control for multiple collaborative autonomous underwater vehicles (AUVs) to track a desired formatio…
Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection
Federico Zocco, Ching-I Huang, Hsueh-Cheng Wang +2
Marine debris is a problem both for the health of marine environments and for the human health since tiny pieces of plastic called "microplastics" resulting from the debris decompo…
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions
Jui-Te Huang, Chen-Lung Lu, Po-Kai Chang +5
Deep reinforcement learning (RL), where the agent learns from mistakes, has been successfully applied to a variety of tasks. With the aim of learning collision-free policies for un…
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX
Yi-Wei Huang, Tzu-Kuan Chuang, Ni-Ching Lin +20
Robotic software and hardware systems of autonomous surface vehicles have been developed in transportation, military, and ocean researches for decades. Previous efforts in RobotX C…
Duckiefloat: a Collision-Tolerant Resource-Constrained Blimp for Long-Term Autonomy in Subterranean Environments
Yi-Wei Huang, Chen-Lung Lu, Kuan-Lin Chen +7
There are several challenges for search and rescue robots: mobility, perception, autonomy, and communication. Inspired by the DARPA Subterranean (SubT) Challenge, we propose an aut…