Viranjan

About

Hello and welcome to my website! I am a Physical AI researcher with a focus on vehicle automation. A core basis of my work is developing AI systems that can operate in physical-world environments.

I did my Master's in mechanical and aerospace engineering from Illinois Tech, USA, and have interdisciplinary knowledge and experience blending machine learning, robotics and control systems.
Post Master's, I was a Research Fellow at Clemson University, USA, where I worked on development of deployable AI algorithms for motion planning of automated vehicles.
Feel free to explore my projects and publications to learn more about my work.

If you would like to discuss research, collaboration, or potential opportunities, please reach out to me via email viranbh@gmail.com or LinkedIn.

Publications

Please visit my Google Scholar page for an updated list of publications.

Projects

Multi-agent CAV planning for energy efficiency and safety: Vehicle-in-the-loop experiments

This project demonstrated the energy efficiency and safety benefits of connected and automated vehicles (CAVs) with on-track deployment on a real vehicle in a mixed-reality environment.
Funded through Argonne National Laboratory

Interactive motion planning for lane change

A learning-augmented MPC to learn the cost function of a neighboring vehicle to negotiate lane changes which was tested with human subjects in CARLA simulator.
Funded through VIPR-GS

Receding horizon RRT* for off-road UGV

Developed a receding horizon RRT* planner for off-road unmanned ground vehicles (UGVs) to navigate through rough terrain demonstrated in a custom Unreal Engine based simulator.
Funded through VIPR-GS

Lane change and speed guidance ADAS algorithm

A finite state machine ADAS algorithm for guiding a driver; integrated with IIT-ID SAUVVI simulator.
Funded through IIT-WISER