My Team.
Here is a list of my researchers who are at the forefront of developing AI-based robotic manipulation methods. Their work integrates advanced machine vision, telerobotics, and mixed reality. Their research spans a range of innovative areas, from developing contact-rich manipulation techniques to optimizing path planning methods. They are also pioneering the development of hybrid planners that enable multiple robots to collaborate effectively, tackling complex tasks such as the disassembly of intricate products.
PhD Researchers and Research Fellows
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2023 Benjamin Raine, Creating a data-driven framework for detecting various battery components using Artificial Intelligence, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2023 Cesar Contreras, Control of a robot arm using gaze tracker, Extreme Robotics Lab, University of Birmingham, Funded by the Extreme Robotics Lab
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2022 Yuan Wang, Predicting remaining useful life of EV batteries using Neutral turning machine, Extreme Robotics Lab, University of Birmingham, Funded by the Extreme Robotics Lab
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2021 Yuan Wang, Predicting remaining useful life of EV batteries using CNN-LSTM model, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Jamie Hathaway , Learning-based predictive path following control incorporating vision feedback with memory-augmented model for contact rich control tasks, Extreme Robotics Lab, University of Birmingham, Funded by the Direct Line Group
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2021 Hector Cruz Gonzalez , Semi-autonomous Behaviour Tree-Based Framework For Sorting Electric Vehicle Batteries Components, Extreme Robotics Lab, University of Birmingham, Funded by the Direct Line Group
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2021 Akash Bedi , Industrial challenges of automating EV battery disassembly, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Yuan Wang, Industrial challenges of automating EV battery disassembly, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Yuan Wang, Predicting remaining useful life of EV batteries using CNN-LSTM model, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Matthew Bickerton, Designing a robot tool for cutting EV battery module, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Artun Silistreli, Classifing and localizing battery components using YOLO, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Gabriele Cepparulo, Identifying required levels of autonomy for battery disassembly, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2021 Senal Rajamantri, Creating a dataset of different battery components to be used for object detection using a deep neural network model, Extreme Robotics Lab, University of Birmingham, Funded by the Faraday Institution
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2020 Rhys Howard, Tracking articulated objects for automated cutting application, Extreme Robotics Lab, University of Birmingham, Funded by the Direct Line Group
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2020 Yixiong Huang , Developing prototype of a wearable smart clothes, Extreme Robotics Lab, University of Birmingham, Funded by the Extreme Robotics Lab