Grzegorz Cielniak

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Associate Professor

University of Lincoln

United Kingdom

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About

Grzegorz Cielniak is an Associate Professor at the University of Lincoln, UK. His research focuses on robotics and agriculture, particularly in the areas of multi-robot path planning, robot localization in dynamic environments, and precision agriculture. Recent publications include works on resilient navigation frameworks for robots, as well as advancements in semantic segmentation for agricultural applications.

Recent Grants

Grant: Close

Active Vision with Human-in-the-Loop for the Visually Impaired

Open Date: 2015-09-01

Close Date:

Grant: Close

SWiFT - Innovation in Location Based Services

Open Date: 2015-05-01

Close Date:

Grant: Close

3D Vision Assisted Robotic Harvesting of Broccoli

Open Date: 2014-06-01

Close Date:

Grant: Close

Novel computer vision techniques for food quality analysis - identification of Bruchus rufimanus (bean seed beetle) damage in field beans for export for human consumption

Open Date: 2013-09-01

Close Date: 2014-08-01

Grant: Close

Autonomous Control of Agricultural Sprayers

Open Date: 2013-09-01

Close Date: 2014-12-01

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Michael Mangan

University of Sheffield

UNITED KINGDOM

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Riccardo Polvara

Senior Lecturer

University of Lincoln

UNITED KINGDOM

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Marc Hanheide

Professor

University of Lincoln

UNITED KINGDOM

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Grzegorz Cielniak

Research Interests

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About

Recent Grants

Articles (22)

Resilient Timed Elastic Band Planner for Collision‐Free Navigation in Unknown Environments

Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties

A Unified Topological Representation for Robotic Fleets in Agricultural Applications

Navigating Narrow Spaces: A Comprehensive Framework for Agricultural Robots

Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots

Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation

ATT-NestedUnet: Sugar Beet and Weed Detection Using Semantic Segmentation

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

CostTrust: A Fast-Exploring, Iteratively Expanding Frontier-Based Kinodynamic Motion Planner

ATT-NestedUnet: Sugar Beet and Weed Detection Using Semantic Segmentation

Adaptive robot localization in dynamic environments through self-learnt long-term 3D stable points segmentation

Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops

Deep learning‐based crop row detection for infield navigation of agri‐robots

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

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

High‐throughput phenotyping for breeding targets—Current status and future directions of strawberry trait automation

Robotic Exploration for Learning Human Motion Patterns

3D shape sensing and deep learning-based segmentation of strawberries

Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement

Lab*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks

Experimental Analysis of a Spatialised Audio Interface for People with Visual Impairments

Estimating soil aggregate size distribution from images using pattern spectra

Collaborators (8)

soran parsa

Petra Bosilj

Amir Badiee

Nicola Bellotto

Junfeng Gao

Michael Mangan

Riccardo Polvara

Marc Hanheide

Make your next move.

Grzegorz Cielniak

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (22)

Resilient Timed Elastic Band Planner for Collision‐Free Navigation in Unknown Environments

Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties

A Unified Topological Representation for Robotic Fleets in Agricultural Applications

Navigating Narrow Spaces: A Comprehensive Framework for Agricultural Robots

Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots

Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation

ATT-NestedUnet: Sugar Beet and Weed Detection Using Semantic Segmentation

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

CostTrust: A Fast-Exploring, Iteratively Expanding Frontier-Based Kinodynamic Motion Planner

ATT-NestedUnet: Sugar Beet and Weed Detection Using Semantic Segmentation

Adaptive robot localization in dynamic environments through self-learnt long-term 3D stable points segmentation

Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops

Deep learning‐based crop row detection for infield navigation of agri‐robots

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

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

High‐throughput phenotyping for breeding targets—Current status and future directions of strawberry trait automation

Robotic Exploration for Learning Human Motion Patterns

3D shape sensing and deep learning-based segmentation of strawberries

Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement

L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks

Experimental Analysis of a Spatialised Audio Interface for People with Visual Impairments

Estimating soil aggregate size distribution from images using pattern spectra

Collaborators (8)

soran parsa

Petra Bosilj

Amir Badiee

Nicola Bellotto

Junfeng Gao

Michael Mangan

Riccardo Polvara

Marc Hanheide

Make your next move.

Lab*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks