Roberto Martín-martín
Research Assistant Professor at Salesforce
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolRoberto Martín-martín is a Research Assistant Professor and robotics researcher based in Austin with 11 years of experience bridging academic research and engineering. After a PhD from Technische Universität Berlin and postdoctoral work at Stanford, he now leads robotics research at UT Austin while collaborating with industry as a visiting professor at Salesforce. His open-source contributions—including back-end and automation work on StanfordVL’s widely used iGibson simulator—demonstrate practical skills in simulation, rendering, and interactive environments for robot training. Known for improving realism and usability in complex simulators (e.g., arena setup, PBR particle support, and GUI enhancements), he combines deep scientific rigor with hands-on software development to move research toward deployable systems.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Universidad Politécnica de MadridDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technische Universität BerlinPostdoctoral, Postdoctoral at Stanford University
Github Skills (7)
simulations10
simulation10
pybullet10
python10
3d9
3ds9
opengl6
Programming languages (7)
Github contributions (5)
StanfordVL/iGibson
Jul 2019 - Jul 2022
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:3 reviews, 514 commits, 10 pushes in 3 years 1 month
Contributions summary:Roberto primarily worked on improving the simulation environment for robots. Their contributions involved cleaning up the creation of environments, fixing door-related issues, and implementing new arenas with varying wall configurations. They also made changes to the rendering and interaction modes, integrating with the iGibson GUI, and including functions for setting up PBR for the particles. Finally, they adjusted the robot's initial pose based on arena type and added a help menu to the viewer.
roboticssimulationrobot-simulatorrealistic3d-scenes
tu-rbo/omip
Nov 2016 - Jan 2020
Contributions:9 commits, 1 PR, 27 pushes in 3 years 2 months
roboticsarticulated-objectspdfmore-inforos
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.