Intrinsic

Software Engineer

Open Robotics

At Open Robotics, I was the "ROS Boss" of the Humble (LTS) release of ROS 2. This involved extensive collaboration with various stakeholders and the development of new infrastructure to streamline the release process.

To address a need in the testing process, I designed and implemented a Test Case Manager tool in Typescript. This tool automates the creation of test cases for different platform permutations and has been employed in several key releases, including ROS 2 Humble, ROS 2 Iron, and Gazebo Garden.

In addition to these responsibilities, I worked on various other projects that required a wide range of technical skills. These included debugging multithreaded executor issues, designing C++ client library features for Nvidia, contributing to NASA's VIPER mission, and integrating different UAV frameworks under a common API.

Robohub

As the Podcast Director at Robohub, I managed an international team and conducted over 100 interviews with key figures in the robotics field. The variety of our interviewees, from academics to industry leaders, allowed us to present a comprehensive view of the sector.

I led the team in expanding our podcast's monthly listenership from 2k to 120k and secured $20k in academic sponsorships. This growth and financial support helped to sustain our operations and extend our reach.

During my tenure, we produced and released 160 podcast episodes. This consistent output, combined with our increased listenership and financial support, illustrates my focus on steady growth and commitment to sharing knowledge in the robotics community.

Podcast Director

Halodi Robotics

Software Engineer Intern

senseFly

I work at Intrinsic AI, where I am a software engineer. I am also the host of the Audrow Nash Podcast. Previously, I hosted the Sense Think Act podcast and led Robohub's podcast. Outside of robotics, I rock climb.

Audrow Nash

NVIDIA

Nvidia Research (GEAR), Project Gr00t. Research focus on Foundation Models for Embodied Agents, through Imitation and Reinforcement Learning.

Senior Research Engineer

Berkeley Artificial Intelligence Research

EECS Department, University of California Berkeley
Advised by Prof. Sergey Levine

Research on Robotics foundation Models, Imitation Learning and Reinforcement Learning

Research Staff Engineer

Georgia Institute of Technology

• Research on language-conditioned model for visual-force goal planner
• Develop a physiotherapy robotics platform for Parkinson , funded by TRI and Emory

Graduate Research Assistant

• Open Source Robotics Foundation (now Alphabet's Intrinsic.ai)
• Maintain open-source project of Robotics Middleware Framework (RMF) & ROS core libs
• Contribute towards core open-source robotics packages, libraries, and infra tools.
• Work on various commercial robotics software projects and consulting work.
• Develop open source Multi-agent fleet management system with cloud deployments.

TUMCREATE

• Research institute (collaboration between TUM Germany and NTU sg)
• SpeedCargo Project; develop and maintain a 3D cargo Detection System
• Developed a scalable and production-ready system preceding the commercial project spin-off in 2020 (Speedcargo.sg)

Computer Vision Engineer

HOPE Technik

•  Robotics software system and applications development with ROS, ROS2, and simulation platforms.
•  Developed robot manipulation workcell, and 3D Lidar Mapping platform (SLAM) for indoor AGVs
•  Worked on RMF project, interoperability of heterogeneous robotics software systems.

Robotics Software Engineer

Transforma

• Worked on Robot Perception's Point Cloud Processing for automated indoor painting robot.
• Developed point cloud segmentation and path planning algorithm for the painting robot
• Developed web interface and REST server for plane visualization and task execution.

Perception Software Engineer Intern

nuTonomy

•  Autonomous Vehicle. now Aptiv / Motional: https://motional.com/
•  Developed web visualization and annotation tool for lidar pointcloud data for autonomous vehicle
•  Assisted in optimizing ground-truth lidar pointcloud labeling and storage pipeline.
•  Operated with Lidar results training for machine learning in object classification

Perception Team Intern

A curious mind pursuing AI, robotics, and software engineering. Passionate about inspiring ideas with a mission to make a difference in the world.

Personal Site: https://youliangtan.github.io/
Most of my projects are opensource on Github:  https://github.com/youliangtan

taplio

The Battle

Audrow Nash

You Liang Tan

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