Bibliography

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I'm Eduardo Alvarado, 2nd-year Ph.D. student at École Polytechnique in Paris (France). I work at the Geometric and Visual Computing (GeoViC) group, under the supervision of Prof. Damien Rohmer and Prof. Marie-Paule Cani. I am part of the Marie Skłodowska-Curie Innovative Training Network CLIPE, funded by the European Union Horizon 2020 framework.

Prior to my Ph.D., I got my M.Sc. in Embedded Systems and AI at Albert-Ludwigs-Universität Freiburg in 2019, while I was working at the AIS group, ZF Friedrichshafen, and writing my thesis on Deep Multimodal Learning for Autonomous Driving at Robert Bosch GmbH, advised by Prof. Dr. Joschka Boedecker and Prof. Dr. Abnihav Valada. I completed my B.Sc. in Electronics and Automation Engineering at Universidad Carlos III de Madrid in 2014, advised by Prof. Angel Garcia Crespo.

My research is centered on plausible, interactive and multi-scale 3D animation (physically-based, kinematic) for humans and animals in dynamic and deformable environments, with focus on authoring tools for the entertainment industry (games, VR).

Education

Projects

Experience

My Work

academic_research

Skills

    Computer Science

    Python, C#, C, C++ and Java over +7 years of experience...and always ready to keep learning!

    Games R&D

    Passionate about game-dev/tech, 3D Modeling and VR/AR: Unity, UE, Blender, Substance

    SW Development

    Production-ready SW (Visual, CMake), version control, quality-assurance and debugging

    Machine Learning

    Modern AI techniques for Deep Learning and Reinforcement Learning (Tensorflow, PyTorch)

    Robotics

    Autonomous Intelligent Systems, Mapping & Localization (SLAM), AI for Computer Vision

    Technical Art

    Research on expressive AI, interactive methods and creative-oriented approaches

    1/+2 Players

    Ability to collaborate constructively in large teams as well as to work independently

    Management

    Strategy planning, problem-solving and analytical skills in research environments

Background

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I’m Eduardo, a first year Ph.D. Researcher at École Polytechnique in Paris (France) at the Geometric & Visual Computing (GeoViC) group, as part of the Marie Skłodowska-Curie Innovative Training Network CLIPE, funded by the European Union for the Horizon 2020 framework. My research is centered on realistic and multi-scale 3D animations for humans and animals in dynamic and virtual environments, with focus on the entertainment industry.

Prior to my Ph.D., I completed my M.Sc. at the Albert-Ludwigs-Universität Freiburg, and wrote my thesis at the AIS group along with Robert Bosch GmbH, advised by Prof. Dr. Joschka Boedecker and Prof. Dr. Abnihav Valada. Additionally, I worked as research assistant on SLAM and Autonomous Driving simulations with Unreal Engine. Some of my research interests are AI for Game Development, Behavior Planning, Reinforcement Learning, Computer Vision or Perception.

Education

Ph.D. in AI and Computer Graphics

2020-2023, l’X, École Polytechnique

M.Sc. in Embedded Systems Engineering (AI)

2017-2019, Albert-Ludwigs-Universität Freiburg

B.Sc. in Electronics and Automation Engineering

2010-2014, Universidad Carlos III de Madrid

Projects

Master Thesis in Deep Multimodal Learning

2019, Robert Bosch GmbH

ROS Data Manipulation for Autonomous Vehicles

2018, ZF Friedrichshafen

Bachelor Thesis in Augmented Reality for Geolocalization

2014, Universidad Carlos III de Madrid

Experience

Graduate Teaching Assistant for Technical Art

2020, l’X, École Polytechnique

Computer Scientist for 3D Material Synthesis

2020, InstaLOD GmbH

Research Assistant for Autonomous Systems

2017-2019, Albert-Ludwigs-Universität Freiburg

My Work

Academic Research
Game Development
Photography

Skills

Computer Science

Python, C#, C, C++ and Java over +7 years of experience…and always ready to keep learning!

Games R&D

Passionate about game-dev/tech, 3D Modeling and VR/AR: Unity, UE, Blender, Substance

SW Development

Production-ready SW (Visual, CMake), version control, quality-assurance and debugging

Machine Learning

Modern AI techniques for Deep Learning and Reinforcement Learning (Tensorflow, PyTorch)

Robotics

Autonomous Intelligent Systems, Mapping & Localization (SLAM), AI for Computer Vision

Technical Art

Research on expressive AI, interactive methods and creative-oriented approaches

Team & Single Player

Ability to collaborate constructively in large teams as well as to work independently

Project Management

Strategy planning, problem-solving and analytical skills in research environments

Publications

Generating Upper-Body Motion for Real-Time Characters Making their Way through Dynamic Environments

Eduardo Alvarado, Damien Rohmer, Marie-Paule Cani.
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2022
Best Paper Honorable Mention Award
Project Page – Code – Paper – Video

Real-Time Locomotion on Soft Grounds with Dynamic Footprints

Eduardo Alvarado, Chloé Paliard, Damien Rohmer, Marie-Paule Cani.
Frontiers in Virtual Reality, Frontiers, 2022, 3, (10.3389/frvir.2022.801856)

Project Page – Code – Paper – Video

A Survey on Reinforcement Learning Methods in Character Animation

Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani.
Eurographics 2022, Computer Graphics Forum, Wiley, 2022, pp.1‑27. (10.1111/cgf.14504)

Project Page – Paper

Soft Walks: Real-Time, Two-Ways Interaction between a Character and Loose Grounds

Chloé Paliard, Eduardo Alvarado, Damien Rohmer, Marie-Paule Cani.
Eurographics 2021 (short), May 2021, Vienna, Austria.

Project Page – Code – Paper – Video