Shubham Singh

About Shubham Singh

I am a roboticist interested in the area of Optimization for Legged Robotics. I envision a future where robots and humans work together to build a better world. During my PhD, I worked on designing efficient algorithms to enable onboard trajectory optimization in robots. I published my research in top-tier conferences and journals like ICRA, IROS, and RA-L, TR-O.Previously, I worked on a plethora of projects in the area of Hypersonic mission design, data center optimization, reinforcement learning, NASA human mission system architecture, optimization theory, legged robots control, and optimization (ROS framework), etc. During my Ph.D, I was a summer research intern at Flexiv Robotics working on manipulators and at Dell Tech. working on RL-driven data centers.Currently, I am working as a Software Engineer at Apptronik in Austin TX!Skills- Optimization, Dynamic Locomotion, Model Predictive Control, Biomechanics, Sensor Fusion, C++, Fortran, Python, Deep Reinforcement Learning, Machine Learning, Estimation, Verbal communication (Toastmasters Level-3).Personal website: https://shubhamsingh91.github.ioGithub: https://github.com/shubhamsingh91Google Scholar: & hl=en

Experience

1. Software Engineer- Legged Controls

   Apptronik

   Aug 2024 — Present · Austin, TX, US

   Driving system integration for the next-gen Apollo.* Developing re-targeting algorithms to feed Whole-body learning based control.* Develop control and planning software enabling real-time locomotion and whole-body behaviors for Apollo humanoid robots.* Combine algorithm design, simulation, and hardware testing to ensure robust performance in dynamic environments.

Education

• Delhi Technological University (Formerly DCE)

  Bachelor of Technology (B.Tech.)

• The University of Texas at Austin

  Doctor of Philosophy - PhD

• Purdue University

  Master's degree