Revanth Krishna Senthilkumaran

Revanth Krishna Senthilkumaran

Senior in Computer Engineering @ Purdue University

Undergraduate Research Assistant @ IDEAS Laboratory

Robotics Software Engineer Intern @ AeroVironment Inc.

President of Autonomous Robotics Club of Purdue



I'm in my final year of Computer Engineering at Purdue University, concentrating in artificial intelligence/machine learning and computer systems. I love robotics and want to work towards using robots to work with and improve humanity. I also want to improve the way robots perceive the world and increase the capability of using robots in a domestic setting with human beings.

Having done robotics research since 2021, I am stepping towards contributing significantly to the field. My primary interests at the moment include perception, manipulation and human-robot interaction and collaboration. I also lead the largest robotics club at Purdue (ARC), with a heavy focus on research.

Outside of these, I love playing basketball, the piano, geeking out over basketball and Formula 1, and trying new foods!

What's Happening Lately

[JUN 2024]   MOCAS dataset paper ACCEPTED to IEEE-TAFFC 2024.


[APR 2024]   Gave research talk at Purdue Spring Undergraduate Research Expo 2024 on ARTEMIS and won 2nd place in College of Science Category.


[JUN 2024]   UPPLIED paper ACCEPTED to IEEE-IROS 2023.


[APR 2022]   Gave research talk at Purdue Spring Undergraduate Research Expo 2022 and won 3rd place in Interdisciplinary Category.


Publications

ARTEMIS

ARTEMIS: AI-Driven Robotic Triage Labeling and Emergency Information System

Authors: Revanth Krishna Senthilkumaran, Mridu Prashanth, Hrishikesh Viswanath, Sathvika Kotha, Kshitij Tiwari, Aniket Bera

Status: Under review in IEEE-ICRA 2025

UPPLIED

UPPLIED: UAV Path Planning for Learning from Demonstration

Authors: Shyam Sundar Kannan*, Vishnunandan L. N. Venkatesh*, Revanth Krishna Senthilkumaran, Byung-Cheol Min

* Equal Contribution

Status: PUBLISHED in IEEE-IROS 2023

MOCAS

MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks

Authors: Wonse Jo*, Ruiqi Wang*, Su Sun, Revanth Krishna Senthilkumaran, Daniel Foti, Byung-Cheol Min

* Equal Contribution

Status: PUBLISHED in IEEE-TAFFC 2024

SMARTmBOT

SMARTmBOT: A ROS2-based Low-cost and Open-source Mobile Robot Platform

Authors: Wonse Jo, Jaeeun Kim, Ruiqi Wang, Jeremy Pan, Revanth Krishna Senthilkumaran, Byung-Cheol Min

Status: Submitted to IEEE-IROS 2022

Presentations

Data Collection for Mobile Manipulators

Data Collection for Mobile Manipulators for Learning from Demonstration

Status: Presented at University of Minnesota Summer URC 2023

Dynamic Cognitive Workload Allocation

A Dynamic Cognitive Workload Allocation Method for Human Robot Interaction

Status: Presented at Purdue Fall URC 2022

GUI for Measuring Cognitive Workload

A GUI for Measuring Cognitive Workload Stimulus in Human Robot Interaction

Status: Presented at Purdue Spring URC 2022