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We have 112 robotic PhD Projects, Programmes & Scholarships

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robotic PhD Projects, Programmes & Scholarships

We have 112 robotic PhD Projects, Programmes & Scholarships

Go On, Disturb the Flow

Supervisory Team. Dr. Swathi Krishna, Prof. Bharath Ganapathisubramani. Project description. If you are a student of aerodynamics, chances are that you have drawn a conventional airfoil with nice, laminar incoming flow at some point. Read more

Development of an Automated System for Manipulating Soft Agricultural Materials

Industry 4.0 is transforming solutions in various industrial fields. The development and adoption of automated technologies using robotics and applications of Artificial Intelligence enhance the current manual procedures with higher accuracy and better repeatability. Read more

Designing compliant mechanisms for precision movement and tracking

The Centre for Robotics Research (CORE) has an exciting PhD opportunity to join its multidisciplinary team. Fast, repeatable and precisely controlled motion is need for many automated industrial processes. Read more

Advanced Maintenance Management of Offshore Renewable Energy Systems

  Research Group: Communication and Networks
Renewable energy plays an importance role in the road to net-zero greenhouse gas emissions, limiting the global temperature increase by up to 1.5°C by 2050. Read more

Novel stochastic control method for a class of complex networks

Complex systems, which contain large ensembles of elements interacting with each other and are affected by noises and uncertainties, have become one of the major research fields due to their presence in the real life. Read more

Adaptive Robot Behaviours in dynamic and outdoor settings

In controlled settings such as factories, robots are able to achieve many tasks efficiently and accurately. However, it is still a challenge to enable robots to operate in unstructured, dynamic and outdoor environments. Read more

Intelligent and Efficient Testing and Verification of Deep Neural Networks

About the Project. Deep Neural Networks (DNNs) have demonstrated human-level capabilities in several challenging machine learning tasks including image classification, natural language processing and speech recognition. Read more

Bio-Inspired Models and Biologically Plausible Mechanisms for Long-Term Motion Learning

Biological systems can learn from interactions with their environment throughout their lifetime. Learning is a defining ability of biological systems, whereby experience leads to behavioral adaptations that improve performance. Read more

High Throughput Collection of Reaction Data with Digital Image Analysis

  Research Group: School of Chemistry
As Chemistry adopt Artificial Intelligence and Machine Learning technologies more widely, the need for high quality chemical data has become a key obstacle which limits the progress of the field. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

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