"We are getting close to intelligent machines, but they are showing the necessary weakness of intelligence." — Richard Feynman

2244, EB-2

890 Oval Dr

Raleigh, NC 27606

With over four years of industry experience and a Master’s in Computer Engineering, my research area revolves around developing and optimizing intelligent robotics systems such as autonomous vehicles or industrial robot manipulators.

In particular, I am interested in algorithms for perception, planning, and control using tools such as ROS 1/2. Currently exploring reinforcement learning and real-time systems at RTIS-UCF Lab. Previously Research Engineer II at NHK International Corporation, USA, USA and Cooperative Autonomous Vehicle Researcher at CAVREL, UCF.

I love to do gardening, play chess, read books/blogs, and travel in my leisure time.


Dec 1, 2022 Industry Challenge paper accepted at RTSS 2022.
Jul 30, 2022 Transferred to the North Carolina State University.
Jun 30, 2022 Ranked 2nd in the USA, 4th in time-trial and 5th in head-to-head internationally in the ICRA 2022 F1tenth competition.

selected publications

  1. RTSS
    Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH
    Nitish Gupta, Kurt Wilson, and Zhishan Guo
    arXiv e-prints, Dec 2022
  2. CAVS
    Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications
    Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, and 4 more authors
    Sep 2019