Avatar

Dabal Pedamonti

PhD student in Robotics and Autonomous Systems

Neural & Machine Learning Group

Bristol Robotics Laboratory

Biography

I am a PhD student in Robotics and Autonomous Systems at the Bristol Robotics Laboratory and the Neural & Machine Learning Group. I am a member of the FARSCOPE Centre for Doctoral Training (CDT) joint between the University of Bristol and the University of the West of England.

I graduated in 2019 with a MEng in Electronics and Computer Science from The University of Edinburgh.

My research lies at the intersections of deep reinforcement learning, robotics, and neuroscience. I am interested in exploiting neuroscientific ideas and the sim-to-real approaches to perform manipulation tasks by utilising simulation to speed up training time of the physical robot. On top of that, I am interested in exploring curiosity-driven learning to train robots through self-supervision.

Interests

  • Deep Reinforcement Learning
  • Robotics
  • Autonomous Systems

Education

  • PhD in Robotics and Autonomous Systems, 2019-2023

    University of Bristol and University of the West of England

  • MEng in Electronics and Computer Science, 2014-2019

    The University of Edinburgh

Experience

 
 
 
 
 

PhD Researcher

Bristol Robotics Laboratory

Sep 2019 – Present Bristol
 
 
 
 
 

Software Engineer Placement

Synopsys

Jun 2018 – Jan 2019 Livingston
 
 
 
 
 

Technical Engineer

Synopsys

Jun 2017 – Aug 2017 Livingston
 
 
 
 
 

Software Engineer

The University of Edinburgh Information Service Group

May 2016 – Aug 2016 Edinburgh

Publications

Comparison of non-linear activation functions for deep neural networks on MNIST classification task

Activation functions play a key role in neural networks so it becomes fundamental to understand their advantages and disadvantages in …

Contact