Nitish Gupta

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.

news

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

RTSS

Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH

Nitish Gupta, Kurt Wilson, and Zhishan Guo

arXiv e-prints, Dec 2022
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

Abs

The rapid growth of connected and automated vehicle (CAV) solutions have made a significant impact on the safety of intelligent transportation systems. However, similar to any other emerging technology, thorough testing and evaluation studies are of paramount importance for the effectiveness of these solutions. Due to the safety-critical nature of this problem, large-scale real-world field tests do not seem to be a feasible and practical option. Thus, employing simulation and emulation approaches are preferred in the development phase of the safety-related applications in CAVs. Such methodologies not only mitigate the high cost of deploying large number of real vehicles, but also enable researchers to exhaustively perform repeatable tests in various scenarios. Software simulation of very large-scale vehicular scenarios is mostly a time consuming task and as a matter of fact, any simulation environment would include abstractions in order to model the real-world system. In contrast to the simulation-based solutions, network emulators are able to produce more realistic test environments. In this work, we propose a high-fidelity hardware-in-the-loop remote vehicle emulator (RVE) framework in order to create testing environments for vehicle-to-vehicle (V2V) communication. We put particular emphasis on the real-time communication simulation module (RTCSim) within RVE. The proposed RTCSim is able to run accurately in real-time fashion in contrast to other existing systems, which can potentially boost the development and validation of V2V systems.