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HomeUniversitiesLoughborough UniversityAgricultural Robot Navigation in Complex Farm and Rugged Terrain Environments Using Deep Reinforcement Learning AI. PhD
This project aims to use deep learning with a number of sensors to make sense of the complex environment, by detecting and mapping non traversable areas, followed by reinforcement learning for robot navigation. This would provide enhanced robot navigation and... Read more control, to avoid areas and obstacles which would normally not be detected and cause the robot to get stuck. We also aim to use the same Reinforcement Learning techniques in end-to-end control to directly drive the robot’s wheels to enable greater terrain traversable by using a variety of sensor data. These sorts of functions are critical to enabling the sustainable cost-effective use of fully autonomous agricultural robots in agriculture and horticulture, which previously solely rely on GPS and a lot of human intervention to operate. Deep Reinforcement Learning is an exciting and extremely powerful AI tool that is seeing a huge increase in use in several areas. It is a machine learning technique that mimics how humans learn by trial and error, reinforcing actions that lead to a goal and ignoring actions that don't. This will enable us to effectively train a robot to operate in these complex environments much faster than using traditional techniques that previously required a robot to have a more semantic understanding of the environment.Read less
Program overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
This project aims to use deep learning with a number of sensors to make sense of the complex environment, by detecting and mapping non traversable areas, followed by reinforcement learning for robot navigation. This would provide enhanced robot navigation and... Read more control, to avoid areas and obstacles which would normally not be detected and cause the robot to get stuck. We also aim to use the same Reinforcement Learning techniques in end-to-end control to directly drive the robot’s wheels to enable greater terrain traversable by using a variety of sensor data. These sorts of functions are critical to enabling the sustainable cost-effective use of fully autonomous agricultural robots in agriculture and horticulture, which previously solely rely on GPS and a lot of human intervention to operate. Deep Reinforcement Learning is an exciting and extremely powerful AI tool that is seeing a huge increase in use in several areas. It is a machine learning technique that mimics how humans learn by trial and error, reinforcing actions that lead to a goal and ignoring actions that don't. This will enable us to effectively train a robot to operate in these complex environments much faster than using traditional techniques that previously required a robot to have a more semantic understanding of the environment.Read less
Admission Requirements
3.2+
6.5+
92+
A 2:1 undergraduate degree in a relevant subject. An interest or experience with either robotics, machine learning, agriculture or SLAM would be an advantage.
18 Feb 2025
3 Years
Oct
Tuition fees
International
28,600
Scholarships
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Agricultural Robot Navigation in Complex Farm and Rugged Terrain Environments Using Deep Reinforcement Learning AI. PhD
Loughborough University, Loughborough, United Kingdom
36 monthsProgram duration
28,600 Tuition Fee/year
18 Feb, 2025Application Deadline
Program overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more control, to avoid areas and obstacles which would normally not be detected and cause the robot to get stuck.
We also aim to use the same Reinforcement Learning techniques in end-to-end control to directly drive the robot’s wheels to enable greater terrain traversable by using a variety of sensor data. These sorts of functions are critical to enabling the sustainable cost-effective use of fully autonomous agricultural robots in agriculture and horticulture, which previously solely rely on GPS and a lot of human intervention to operate.
Deep Reinforcement Learning is an exciting and extremely powerful AI tool that is seeing a huge increase in use in several areas. It is a machine learning technique that mimics how humans learn by trial and error, reinforcing actions that lead to a goal and ignoring actions that don't. This will enable us to effectively train a robot to operate in these complex environments much faster than using traditional techniques that previously required a robot to have a more semantic understanding of the environment. Read less
Program overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more control, to avoid areas and obstacles which would normally not be detected and cause the robot to get stuck.
We also aim to use the same Reinforcement Learning techniques in end-to-end control to directly drive the robot’s wheels to enable greater terrain traversable by using a variety of sensor data. These sorts of functions are critical to enabling the sustainable cost-effective use of fully autonomous agricultural robots in agriculture and horticulture, which previously solely rely on GPS and a lot of human intervention to operate.
Deep Reinforcement Learning is an exciting and extremely powerful AI tool that is seeing a huge increase in use in several areas. It is a machine learning technique that mimics how humans learn by trial and error, reinforcing actions that lead to a goal and ignoring actions that don't. This will enable us to effectively train a robot to operate in these complex environments much faster than using traditional techniques that previously required a robot to have a more semantic understanding of the environment. Read less
Admission Requirements
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
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Cryptographic Primitives for Symmetric Cryptography PhD
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Creative Arts (1)
Big Splash Campaign School of Design and Creative Arts PhD
Big Splash Campaign School of Design and Creative Arts PhD
English and Liberal Arts (3)
Cultural Currents in the Nineteenth and Twentieth Century: Continuities between 'Victorian' and 'Modernist' Literature PhD
Cultural Currents in the Nineteenth and Twentieth Century: Continuities between 'Victorian' and 'Modernist' Literature PhD
Doctoral Research in Health Humanities PhD
Doctoral Research in Health Humanities PhD
Women in Historical Fiction of the English Civil War Era Creative/Critical PhD
Women in Historical Fiction of the English Civil War Era Creative/Critical PhD
Geography and Environment (1)
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Institute for Digital Technologies (2)
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Materials (5)
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Computational Modelling of Sustainable Alloys PhD
Computational Modelling of Sustainable Alloys PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Digital Twins for Biofilm Management PhD
Digital Twins for Biofilm Management PhD
Engineering New Materials for Solid-State Cooling Phd
Engineering New Materials for Solid-State Cooling Phd
Mathematical Sciences (2)
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Mathematics Education Centre (1)
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Mechanical, Electrical and Manufacturing Engineering (16)
3-Directional Frictional Mechanical Metamaterials (3DFMMs) PhD
3-Directional Frictional Mechanical Metamaterials (3DFMMs) PhD
A Multiscale Investigation of Dislocation-Grain Boundary Interactions in Next Generation Alloys PhD
A Multiscale Investigation of Dislocation-Grain Boundary Interactions in Next Generation Alloys PhD
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Advanced Additive Manufacturing For Radiofrequency System Design PhD
Advanced Additive Manufacturing For Radiofrequency System Design PhD
Advanced Antenna Arrays and Metasurfaces for 5G and Space PhD
Advanced Antenna Arrays and Metasurfaces for 5G and Space PhD
Advancing AI-Driven Robotics for Injury Rehabilitation Transform the Future of Medical Robotics with Cutting-Edge Research PhD
An Integrated Approach for Damage Identification in Composite Materials PhD
Biomarkers of Aging PhD
CSC PhD Studentship in Exploring Advanced Materials for Wearable Sensors PhD
Cell Mechanics and Tumour Growth PhD
Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Dynamic Deformation, Damage and Fracture Of Composites PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Physics (1)
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Sport, Exercise and Health Sciences (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD