49 citations · 65 across the 12 of their papers we have counts for
10 papers · 1 filter
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…
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung La +1
Learning agents can make use of Reinforcement Learning (RL) to decide their actions by using a reward function. However, the learning process is greatly influenced by the elect of…
GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung Manh La +2
Agents can base decisions made using reinforcement learning (RL) on a reward function. The selection of values for the learning algorithm parameters can, nevertheless, have a subst…
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…
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…
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…
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…
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…
Automated Robotic Monitoring and Inspection of Steel Structures and Bridges
Hung M. La
This paper presents visual and 3D structure inspection for steel structures and bridges using a developed climbing robot. The robot can move freely on a steel surface, carry sensor…
Distributed Formation Control of Nonlonolomic Mobile Robots by Bounded Feedback in the Presence of Obstacles
Thang Nguyen, Hung M. La
The problem of distributed formation control of nonholonomic mobile robots is addressed in this paper, in which the robots are designed to track a formation. Collision avoidance am…