Hanlin Niu

Hanlin Niu

Manchester University

H-index: 12

North America-United States

About Hanlin Niu

Hanlin Niu, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Manchester University, specializes in the field of Deep Reinforcement Learning, Guidance Navigation Control, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

AutoInspect: Towards Long-Term Autonomous Industrial Inspection

Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place

Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach

Priority Planning for Robots via Fuzzy Logic Controller

Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment

Implementing and Assessing a Remote Teleoperation Setup with a Digital Twin Using Cloud Networking

Distributed neural networks training for robotic manipulation with consensus algorithm

Fault-Tolerant Cooperative Navigation of Networked UAV Swarms for Forest Fire Monitoring

Hanlin Niu Information

University

Position

Research Associate of Robotics The

Citations(all)

911

Citations(since 2020)

874

Cited By

146

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Hanlin Niu Skills & Research Interests

Deep Reinforcement Learning

Guidance Navigation Control

Robotics

Top articles of Hanlin Niu

AutoInspect: Towards Long-Term Autonomous Industrial Inspection

arXiv preprint arXiv:2404.12785

2024/4/19

Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place

2023/9/8

Hanlin Niu
Hanlin Niu

H-Index: 7

Joaquin Carrasco
Joaquin Carrasco

H-Index: 14

Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach

arXiv preprint arXiv:2302.13423

2023/2/26

Priority Planning for Robots via Fuzzy Logic Controller

IFAC-PapersOnLine

2023/1/1

Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment

IEEE Transactions on Neural Networks and Learning Systems

2022/10/10

Implementing and Assessing a Remote Teleoperation Setup with a Digital Twin Using Cloud Networking

2022

Distributed neural networks training for robotic manipulation with consensus algorithm

IEEE Transactions on NEural Networks and Learning Systems

2022/7/7

Fault-Tolerant Cooperative Navigation of Networked UAV Swarms for Forest Fire Monitoring

Aerospace Science and Technology

2022/4/1

Bio-inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology

2022/1/25

A model-free deep reinforcement learning approach for robotic manipulators path planning

2021/10/12

A multiple level-of-detail 3d data transmission approach for low-latency remote visualisation in teleoperation tasks

Robotics

2021/7/14

Hanlin Niu
Hanlin Niu

H-Index: 7

Universal artificial pheromone framework with deep reinforcement learning for robotic systems

2021/4/16

Design, integration and sea trials of 3D printed unmanned aerial vehicle and unmanned surface vehicle for cooperative missions

2021/1/11

3d vision-guided pick-and-place using kuka lbr iiwa robot

2021/1/11

Accelerated sim-to-real deep reinforcement learning: Learning collision avoidance from human player

2021/1/11

Model checking for decision making system of long endurance unmanned surface vehicle

2021/1/11

Virtual Kinesthetic Teaching for Bimanual Telemanipulation

2021/1/11

Reinforcement Learning-Based Mapless Navigation with Fail-Safe Localisation

2021/9/8

Voronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning

IEEE Transactions on Vehicular Technology

2020/10/29

Energy efficient path planning for unmanned surface vehicle in spatially-temporally variant environment

Ocean Engineering

2020/1/15

See List of Professors in Hanlin Niu University(Manchester University)

Co-Authors

academic-engine