activity
20172022
most citedAutonomous UAV Navigation Using Reinforcement Learning

49 citations · 55 across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

8 papers · 1 filter

cs.RO20223 cited

AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay

Adarsh Sehgal, Muskan Sehgal, Hung Manh La

Actor learning and critic learning are two components of the outstanding and mostly used Deep Deterministic Policy Gradient (DDPG) reinforcement learning method. Since actor and cr…

cs.RO2021

Multi-directional Bicycle Robot for Steel Structure Inspection

Son Thanh Nguyen, Hai Nguyen, Son Tien Bui +2

This paper presents a novel design of a multi-directional bicycle robot, which targets inspecting general ferromagnetic structures including complex-shaped structures. The locomoti…

cs.RO2021

Navigation Framework for a Hybrid Steel Bridge Inspection Robot

Hoang-Dung Bui, Hung M. La

Autonomous navigation is essential for steel bridge inspection robot to monitor and maintain the working condition of steel bridges. Majority of existing robotic solutions requires…

cs.RO2020

A Deep Learning-Based Autonomous RobotManipulator for Sorting Application

Hoang-Dung Bui, Hai Nguyen, Hung Manh La +1

Robot manipulation and grasping mechanisms have received considerable attention in the recent past, leading to the development of wide range of industrial applications. This paper…

cs.RO2020

Control Framework for a Hybrid-steel Bridge Inspection Robot

Hoang-Dung Bui, Son Nguyen, U-H. Billah +3

Autonomous navigation of steel bridge inspection robots is essential for proper maintenance. The majority of existing robotic solutions for bridge inspection require human interven…

cs.RO201849 cited

Autonomous UAV Navigation Using Reinforcement Learning

Huy X. Pham, Hung M. La, David Feil-Seifer +1

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provide…