Grzegorz Cielniak

Grzegorz Cielniak

University of Lincoln

H-index: 28

Europe-United Kingdom

About Grzegorz Cielniak

Grzegorz Cielniak, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Lincoln, specializes in the field of Mobile Robotics, Agricultural Robotics, Machine Vision, AI, Chronorobotics.

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

Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)

Vision based crop row navigation under varying field conditions in arable fields

Channel Randomisation: Self-Supervised Representation Learning for Reliable Visual Anomaly Detection in Specialty Crops

Crop Row Switching for Vision-Based Navigation: A Comprehensive Approach for Efficient Crop Field Navigation

Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking

Plant Phenotyping Using DLT Method: Towards Retrieving the Delicate Features in a Dynamic Environment

An Automated Precision Spraying Evaluation System

Navigating in 3D Uneven Environments Through Supervoxels and Nonlinear MPC

Grzegorz Cielniak Information

University

Position

Associate Professor in Robotics

Citations(all)

2909

Citations(since 2020)

1703

Cited By

1735

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

49

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Grzegorz Cielniak Skills & Research Interests

Mobile Robotics

Agricultural Robotics

Machine Vision

AI

Chronorobotics

Top articles of Grzegorz Cielniak

Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)

arXiv preprint arXiv:2403.00566

2024/3/1

Karoline Heiwolt
Karoline Heiwolt

H-Index: 1

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Vision based crop row navigation under varying field conditions in arable fields

Computers and Electronics in Agriculture

2024/2/1

Channel Randomisation: Self-Supervised Representation Learning for Reliable Visual Anomaly Detection in Specialty Crops

Available at SSRN 4756089

2024

Taeyeong Choi
Taeyeong Choi

H-Index: 2

Xin Liu
Xin Liu

H-Index: 3

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Crop Row Switching for Vision-Based Navigation: A Comprehensive Approach for Efficient Crop Field Navigation

arXiv preprint arXiv:2309.11989

2023/9/21

Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking

2023/9/21

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Plant Phenotyping Using DLT Method: Towards Retrieving the Delicate Features in a Dynamic Environment

2023/9/8

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

An Automated Precision Spraying Evaluation System

2023/9/8

Navigating in 3D Uneven Environments Through Supervoxels and Nonlinear MPC

2023/9/4

Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments

2023/9/4

Sergi Molina
Sergi Molina

H-Index: 5

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

A Unified Topological Representation for Robotic Fleets in Agricultural Applications

Authorea Preprints

2023/9/1

An Agricultural Precision Sprayer Deposit Identification System

2023/8/26

Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment

Journal of Field Robotics

2023/8/3

Sergi Molina
Sergi Molina

H-Index: 5

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

S-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects

2023/7/4

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation

arXiv preprint arXiv:2306.05869

2023/6/9

Motion-Based Segmentation Utilising Oscillatory Plant Properties

2023/6/2

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Enabling Robot Autonomy through a Modular Software Framework

2023/5/29

Statistical shape representations for temporal registration of plant components in 3D

2023/5/29

Towards Safe Robotic Agricultural Applications: Safe Navigation System Design for a Robotic Grass-Mowing Application through the Risk Management Method

Robotics

2023/4/23

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

Vision-based Monitoring of the Short-term Dynamic Behaviour of Plants for Automated Phenotyping

2023/2/10

Grzegorz Cielniak
Grzegorz Cielniak

H-Index: 15

See List of Professors in Grzegorz Cielniak University(University of Lincoln)

Co-Authors

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