Arun Narenthiran Sivakumar

I am a PhD student in Computer Science at the University of Illinois Urbana-Champaign (UIUC), advised by Prof. Girish Chowdhary and focusing on vision and learning-based autonomy for agricultural robots. Broadly, I am interested in developing and deploying field robotic systems for precision agriculture, environmental monitoring, and management. Outside of research, I enjoy travelling, and perfecting my biryani recipes.

Google Scholar / Linkedin / Twitter

Publications

	Demonstrating CropFollow++: Under-Canopy Agricultural Navigation with Keypoints Arun Narenthiran Sivakumar, Mateus V Gasparino, Michael McGuire, Vitor AH Higuti, M Ugur Akcal, Girish Chowdhary RSS 2024 Outstanding Demo Paper Award Finalist webpage
	W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus V Gasparino, Girish Chowdhary, Katherine Driggs-Campbell RAL 2024
	WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness Mateus V Gasparino, Arun Narenthiran Sivakumar, Girish Chowdhary ICRA 2024 arXiv
	Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics Jose Cuaran, Andres Eduardo Baquero Velasquez, Mateus Valverde Gasparino, Naveen Kumar Uppalapati, Arun Narenthiran Sivakumar, Justin Wasserman, Muhammad Huzaifa, Sarita Adve, Girish Chowdhary IJRR 2023 dataset
	CropNav: a Framework for Autonomous Navigation in Real Farms Mateus V Gasparino, Vitor AH Higuti, Arun Narenthiran Sivakumar, Andres EB Velasquez, Marcelo Becker, Girish Chowdhary ICRA 2023
	ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita Adve, Girish Chowdhary, Sasa Misailovic, Vikram Adve Proceedings of Machine Learning and Systems 2023
	NDVI/NDRE prediction from standard RGB aerial imagery using deep learning Corey Davidson, Vishnu Jaganathan, Arun Narenthiran Sivakumar, Joby M Prince Czarnecki, Girish Chowdhary Computers and Electronics in Agriculture 2022
	WayFAST: Navigation With Predictive Traversability in the Field Mateus V Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu, Andres EB Velasquez, Vitor AH Higuti, John Rogers, Huy Tran, Girish Chowdhary RAL 2022
	Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell RAL 2022
	Learned Visual Navigation for Under-Canopy Agricultural Robots Arun Narenthiran Sivakumar, Sahil Modi, Mateus Valverde Gasparino, Che Ellis, Andres Eduardo Baquero Velasquez, Girish Chowdhary, Saurabh Gupta RSS 2021 webpage / arXiv
	Multi-sensor fusion based robust row following for compact agricultural robots Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Marcelo Becker, Girish Chowdhary Field Robotics Journal 2022 arXiv
	Maize tassel detection from UAV imagery using deep learning Aziza Alzadjali, Mohammed H Alali, Arun Narenthiran Sivakumar, Jitender S Deogun, Stephen Scott, James C Schnable, Yeyin Shi Frontiers in Robotics and AI 2021
	Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery Yan Pang, Yeyin Shi, Shancheng Gao, Feng Jiang, Arun Narenthiran Sivakumar, Laura Thompson, Joe Luck, Chao Liu Computers and Electronics in Agriculture 2020
	Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid-to Late-Season Weed Detection in UAV Imagery Arun Narenthiran Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J Jhala, Joe D Luck, Yeyin Shi Remote Sensing 2020
	Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery Jiating Li, Arun Narenthiran Sivakumar, Madhav Bhatta, Nicholas D Garst, Hannah Stoll, P Stephen Baenziger, Vikas Belamkar, Reka Howard, Yufeng Ge, Yeyin Shi Plant Methods 2019
	Elucidating sorghum biomass, nitrogen and chlorophyll contents with spectral and morphological traits derived from unmanned aircraft system Jiating Li, Yeyin Shi, Arun Narenthiran Sivakumar, Daniel P Schachtman Frontiers in Plant Science 2018

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