Thomas George Thuruthel

Thomas George Thuruthel

Assistant Professor (Lecturer) in Robotics and AI

University College London

Biography

Dr Thomas George Thuruthel is a lecturer in Robotics and AI in the Department of Computer Science at University College London. His research interests include modelling and control of soft bodied systems, soft sensing technologies, dexterous manipulation, and applications of AI in robotic systems.

Interests
  • Soft Robotics
  • Control Theory
  • Soft Sensing
  • Artificial Intelligence
Education
  • PhD in BioRobotics, 2019

    Scuola Superiore Sant'Anna

  • MS in BioRobotics, 2015

    Waseda University

  • BTech in Mechanical Engineering, 2013

    Indian Institute of Technology (IIT) Hyderabad

Research Team

PhD Students

Visiting Researchers

MSc Students

MEng Students

Alumni

  • Abdulaziz Youssef Alkayas (2024) [Visiting PhD: Khalifa University]. Supervised by Dr. Federico Renda.
  • Enrico Donato (2023) [Visiting PhD: Scuola Superiore Sant’Anna]. Supervised by Dr. Egidio Falotico

Experience

 
 
 
 
 
University College London
Lecturer (Assistant Professor)
University College London
Feb 2023 – Present London
 
 
 
 
 
University of Cambridge
Senior Research Associate
University of Cambridge
Apr 2022 – Jan 2023 Cambridge
 
 
 
 
 
University of Cambridge
Research Associate
University of Cambridge
Jun 2019 – Mar 2022 Cambridge
 
 
 
 
 
Scuola Superiore Sant'Anna
Research Assistant
Scuola Superiore Sant’Anna
Oct 2018 – Feb 2019 Pisa

Research

*
Developmental Robotics
Modelling and control with minimal human intervention
Developmental Robotics
Control of Soft Robots
Learning based control strategies for soft robots.
Control of Soft Robots
Soft Sensing
(In Progress).
Soft Sensing
Miscellaneous
(In Progress).
Miscellaneous

Recent & Upcoming Talks

UK RAS RobotTalk
How to build an Android
British Science Museum
How to build an Android

Recent Publications

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(2022). Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks. Soft Robotics Journal.

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(2022). Learning-Based Damage Recovery for Healable Soft Electronic Skins. Advanced Intelligent Systems.

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(2022). Manipulation of free-floating objects using Faraday flows and deep reinforcement learning. Scientific reports.

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(2022). Self-healing ionic gelatin/glycerol hydrogels for strain sensing applications. NPG Asia Materials.

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(2021). First-Order Dynamic Modeling and Control of Soft Robots. Frontiers in Robotics and AI.

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(2021). Using Redundant and Disjoint Time-Variant Soft Robotic Sensors for Accurate Static State Estimation. Robotics and Automation Letters.

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(2020). Electronic skins and machine learning for intelligent soft robots. Science Robotics.

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(2020). Improving Robotic Cooking Using Batch Bayesian Optimization. Robotics and Automation Letters.

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(2019). Soft robot perception using embedded soft sensors and recurrent neural networks. Science Robotics.

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