ABOUT ME

I'm a Senior Research Scientist at Deepmind. I'm interested in learning and deploying intuitive physics models for robotic reasoning and manipulation.

RESEARCH INTERESTS
Robotics / AI
Cognitive Science
Machine Learning

Experience

RESEARCH SCIENTIST

2020: AUG - NOW

DeepMind, London
Senior Research Scientist

INTERNSHIP

2019 : AUG-JAN

DeepMind, London
Research Intern

INTERNSHIP

2018 : SEP-DEC

Google, Switzerland
Software Engineering Intern

Young Researcher

2011 - 2013

Colombian Administrative Department of Science, Technology and Innovation.
Evaluation of MapReduce on a Mesh topology using Silicon Photonics.
Simulation of Silicon Photonics interconnection networks (NoC) for multiprocessor systems.

Advisory Systems Engineer

2011-2013

Soluintec S.A, Pereira, Colombia.
Worked on the technological upgrade of the traffic controller systems of the city of Pereira. Implemented the centralised Traffic Controller Programmer System following the NTCIP standard.

SOFTWARE ENGINEER

2008 – 2011

Open International Systems Corporation, Cali, Colombia.
Worked in analysis, design and development in the areas of : network infrastructure / internal management / corrective/preventive maintenance / GIS / project management and service provisioning.

RESEARCH ASSISTANT

2005-2007

Sirius HPC Lab - Universidad Tecnológica de Pereira, Colombia.
Prepared and delivered course on micro controllers. Designed and implemented of a "Digital Oscilloscope", "Remote Display System" and "MIPS Microprocessor" on FPGAs.

Education

2015 - 2020

PHD ROBOTICS & AUTONOMOUS SYSTEMS

Edinburgh Centre for Robotics / University of Edinburgh / Heriot-Watt University.
Application of Intuitive Physics and Machine Learning models for Robotic Reasoning and Manipulation of Deformable Objects.

2015 - Aug

MACHINE LEARNING SUMMER SCHOOL

Machine Learning Summer School / Kyoto University.
Courses included: Large Scale Deep Learning, Machine Learning for Computer Vision, Probabilistic Program- ming, Scalable Machine Learning among others. [MLSS'15]

2013 - 2015

M. SC. COMPUTER VISION AND ROBOTICS

Joint Erasmus Mundus Master program / University of Burgundy / University of Girona / Heriot-Watt University.
Courses included: Image Processing, Advanced Image Analysis, Computer Vision, Probabilistic Robotics, Autonomous Navigation, Multi-Sensor Fusion and Tracking and Medical Image Analysis.

2002 – 2007

B. SC. COMPUTER SCIENCE

Universidad Tecnológica de Pereira, Colombia.
Courses included: Software Engineering, Electronics, Mathematics, Statistics, Programming.

Publications

  • T. López-Guevara, R. Pucci, N.K. Taylor, M.U. Gutmann, S. Ramamoorthy, K. Subr, To stir or not to stir: Online estimation of liquid properties for pouring actions In Proc. NeurIPS Workshop on Modeling the Physical World: Perception, Learning, and Control, 2018. [Publisher's link] [arXiv link] [Bibtex]
    T. López-Guevara, N.K. Taylor, M.U. Gutmann, S. Ramamoorthy, K. Subr, Adaptable pouring: Teaching robots not to spill using fast but approximate fluid simulation, Conference on Robot Learning (CoRL), 2017. [Publisher's link] [Bibtex]

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LET'S KEEP IN TOUCH

Address: London

Phone: -

Email: -

    LET'S KEEP IN TOUCH

    Address: London

    Phone: -