Lirong Xiang


Assistant Professor

Automation and Robotics Laboratory (AR Lab)

Department of Biological and Environmental Engineering, Cornell University

204 Riley-Robb Hall, Ithaca, NY. 14853

Email: lxiang@cornell.edu



Find Out More

About Me


Lirong Xiang

I am an Assistant Professor in the Department of Biological and Environmental Engineering at Cornell University and was an Assistant Professor at NC State University from 2022 to 2025. I received my Ph.D. degree in Agricultural and Biosystems Engineering from Iowa State University in 2022 and my B.S. degree in Biosystems Engineering from Zhejiang University in 2017. My research mainly focuses on agricultural robotics, 2D & 3D computer vision, and machine learning. During my Ph.D. program, I worked on developing robotic and automated systems for both indoor and in-field plant phenotyping applications.

I aim to develop smart cyber-physical systems that integrate cutting-edge robotics, machine vision, and machine learning technologies to automate labor-intensive tasks in agricultural systems. Example research projects include:

  • AI and robotic sensing for controlled environment agriculture.
  • Bio-inspired robotic systems for complex agricultural environments.
  • Indoor and outdoor high-throughput phenotyping.
  • Digital twins and simulation platforms for agricultural automation.

Personnel



Weilong He
Ph.D. Student
wh542@cornell.edu

Weilong is pursuing a PhD degree in Biological and Environmental Engineering at Cornell. He obtained his B.Eng. in Electronic Information Engineering from Wuhan University of Technology (China) in 2022. Then he started working as a graduate research assistant in the Robotics and Automation Lab. His research interests include agricultural robotics, computer vision, and deep learning applied to the field of agriculture.
Xingjian Li
Ph.D. Student
xl2295@cornell.edu

Xingjian is a PhD student at Cornell University. His interests include image processing and controls for robotics. His lab projects include: Automatic Blueberry Counting and Weight Estimation using Images on Mobile Devices, Industrial Robotic Arm Simulation in Unreal Engine 5 used for Simulating Plant 3D Mesh Reconstruction Process.
Zhenghua Zhang
Ph.D. Student
zz973@cornell.edu

Zhenghua Zhang is a PhD student in the AR lab at Cornell. He received his B.E. degree from Xi'an Jiaotong University. Zhenghua has won the first prize in the National Student Mechanical Innovation Competition and has received several university scholarships. His main research interests are robot structure design, robot simulation experiment and control system design.
Pengyao Xie
PostDoc
px62@cornell.edu

Pengyao earned his Ph.D. in Agricultural Electrification and Automation from Zhejiang University in 2025, where his doctoral research focused on multimodal data fusion, proximal 3D spectral point cloud reconstruction of plants, and high-throughput plant phenotyping. His work intersects robotics control, computer vision, deep learning and smart agriculture.

Yuxi Chen
Graduate Research Assistant
ychen289@ncsu.edu

Yuxi is a master student in Electrical and Computer Engineering at NC State University. She received her B.Eng. in Electronic Science and Technology from Wuhan University of Technology in 2022. Her current project focuses on computer vision, such as instance segmentation and object detection to analyze sweet potato stems. Her research interests include computer vision and computer parallel architecture.
Alex Brown
Master Student
albrow22@ncsu.edu

Alex is an undergraduate student in agricultural engineering in the Department of BAE. She has worked with Dr. Xiang on the design of a legged robot as an undergraduate research assistant. Alex is also working with Dr. Xiang on a senior design project titled "The Design of a Novel Modular and Automated Agricultural Sensing and Control Platform for Anywhere Agriculture". She will start her master program in Fall 2024.
Shengdao Du
Ph.D. Student
sdu6@ncsu.edu

ShengDao Du received his Bachelor's degree in Electrical Engineering from Chang Gung University in 2019. In 2023, he earned his Master degree from the Institute of Electrical Engineering at National Taiwan University. ShengDao's research focuses on the intersection of agricultural robotics, point cloud algorithms, robot control algorithms, and image processing. At NCSU, he intends to further explore these areas and develop applications related to UGVs.
Evelynn Wilcox
Master Student
emwilco2@ncsu.edu

Evelynn is a graduate student at NC State University pursuing a degree in Biological Engineering. She has research interests in agricultural robotics, computer vision, and deep learning modeling. Her research currently focuses on developing datasets and deep learning algorithms for tomato plant disease phenotyping.



Lab Alumni

Postdoctoral Researchers

  • Prem Raj (2024–2025): Dr. Raj earned his Ph.D. in Computer Science and Engineering from IIT Kanpur, where his doctoral research developed innovative robotic grasping and motion planning solutions for cluttered environments. His research intersects computer vision, deep learning, and robotic manipulation, driving advancements in intelligent and sustainable agricultural solutions. As of December 2025, he is a postdoctoral researcher at Texas A&M University.
  • Wesley Moss (2023-2024): Dr. Wesley Moss is a mechanical engineer and researcher from Australia and worked at NCSU as a Fulbright visiting researcher. He received a PhD in Agricultural Engineering from The University of Western Australia. In collaboration with the Precision Sustainable Agriculture network, Wesley led the development of robotic weeding platforms. As of May 2024, he is a Research Fellow at UWA.
Graduate Research Assistants
  • Ratan Immidisetti (2022-2023): Ratan's research in the lab focused on performing 2D/3D computer vision tasks like semantic segmentation and object detection. As of May 2024, he is an Applied Scientist at Amazon.
Visiting Scholar
  • Fan Wu (2023): Fan is an undergraduate student from Zhejiang University. She led the development of AI algorithms for cotton seed damage detection. As of 2024, Fan is a master student at NC State.
Undergraduate Research Assistants
  • Evelynn Wilcox (2024): Evelynn Wilcox was an undergraduate student in the Department of Biological and Agricultural Engineering, where she developed AI models for tomato disease phenotyping. As of 2025, she is a graduate student at NC State University.
  • Jean Cheng (2023-2025): Jean is an undergraduate student at UNC–Chapel Hill. Her research activities include cotton seed damage detection and cotton seedling phenotyping.
  • Hannah Wall (2023-2024): Hannah was an undergraudate student in BAE. She supported robotic weeding, sweetpotato transplanting projects, and summer camp (Summer 2023 and 2024). As of 2024, Hannah is a master student at NC State.
  • Kevin Lin (2023-2024): Kevin led the development of a user interface for tomato disease detection. As of summer 2024, Kevin is an undergraduate student in the Department of Computer Science at NC State.
  • Costas Pieri (2023): Costas supported robotic weeding and mechanical design. As of 2024, he is an undergraduate student in BAE.
  • Brendon Sadlowski (2023): Brendon worked on robotic weeding and mechanical design. As of 2024, he is an undergraduate student in BAE.
High School Students
  • Sujit (2023-2024): Sujit worked on robotic structure design for agricultural robotics. As of December 2025, he is an undergraduate student at Carnegie Mellon University.
  • Siddharth Gundarapu (2024): Siddharth supported the mechanical design of a strawberry-sensing robot. As of 2024, he is a high school student at Green Level High School.
  • Tanvi Chordiya (2024): Tanvi worked on developing robotic systems for strawberry sensing and pruning. As of 2024, she is a high school student at Green Level High School.



Openings

I am currently looking for fully funded graduate students to join the Automation and Robotics Lab. If you are interested in our research in robotics, sensors, machine vision, or artificial intelligence, please email me with your CV.

Current Opportunities
  • Ph.D. Students: Fully funded Ph.D. positions are available for highly motivated students with backgrounds in engineering, computer science, or related fields.
  • Postdoctoral Researchers: Positions are available for candidates with strong expertise in robotics, machine learning, computer vision, or AI-driven systems.
  • Undergraduate & High School Students: Students interested in robotics, sensors, machine vision, or artificial intelligence are welcome to join the lab and participate in hands-on research.
  • Visiting Scholars: Visiting researchers and students are welcome through formal exchange or fellowship programs.

For more information, please click here . You may also contact me directly at lxiang@cornell.edu.


Publications


Google Scholar

Projects



Spider Robot
2025
Sweetpotato Transplanting
2025
Robot Control Optimization in Unreal Engine
2025
Spider Robot
2024
BenchBot
2024
Tomato Disease Phenotyping in Unreal Engine
2024
A legged Robot
2023
Amiga Robot
2023
Unreal Engine Robot Simulation
2023
Robotic Assay for Drought
2017 - 2022

RoAD is a custom-built robotic system designed for drought response experiments in Arabidopsis plants. The system performs daily weighing, watering, and imaging tasks automatically. We developed image processing algorithms for both 2D&3D phenotypic trait extraction and leaf states classification
Enviratron
2019 - 2022

The Enviratron is an array of custom-designed plant growth chambers that simulate different environmental conditions coupled with precise sensor-based phenotypic measurements carried out by a robotic rover.
Robotic Leaf Angle Characterization
2019 - 2022

AngleNet is an automated image processing pipeline developed for measuring leaf angles of maize plants in the field. This pipeline detects each leaf angle as a triplet of keypoints in two-dimensional images and extracts quantitative data from reconstructed 3D models.



Holographic Imaging of an Arabidopsis Plant
2019

The RoAD system provides detailed holographic images of a plant by sweeping the target from multiple view angles using a high-resolution laser scanner.
3D Model of Sorghum Stems
2020

Our customized PhenoStereo cameras are capable of capturing high-quality and high sharpness stereoscopic images under field conditions. The images are used to reconstruct high-fidelity 3D models by stereo matching algorithms.
3D Model of Maize Plants
2021

The multiview 3D point clouds were cross-registered to reconstruct the entire canopy of maize plants in the field.

News


[2025-12] [Symposium] Dr. Xiang is invited as a panelist at the CIDA Digital Agriculture Symposium to discuss “Robotics and Artificial Intelligence for Resilient Agriculture.”

[2025-12] [Research] Our tomato disease project has been released. Learn more here.

[2025-11] [Invited Talk] Dr. Xiang is invited to give a talk titled “Applications of Robotics and Artificial Intelligence in Plant Breeding and Genetics” at the CANVAS 2025 Symposium, Salt Lake City, UT.

[2025-10] [Conference] We presented our robot at the NERC Robotics Conference hosted at Cornell University!

[2025-9] [Invited Talk] Dr. Xiang is invited to give a talk titled “Integrated AI and Robotics in Precision Agriculture” at Cornell AgriTech, Geneva, NY.

[2025-8] [Lab] Xiang’s lab is now based at Cornell University!

[2025-7] [Extension] Xiang's team demonstrated robotic phenotyping systems at the NC Tomato Field Day.!

[2025-7] [Award] Weilong received the Graduate Scholarly Achievement Award from AOCABFE. Congratulations!

[2025-7] [Award] Weilong received the Graduate Leadership and Service Award from AOCABFE. Congratulations!

[2025-7] [Award] Dr. Xiang received the Early Career Award from Association of Overseas Chinese Agricultural, Biological, and Food Engineers (AOCABFE). Congratulations!

[2025-6] [Outreach] Dr. Xiang is leading a summer camp with Weilong and Alex for high school students.

[2025-5] [Competition] Our team secured third place at RMGC Picking in Clutter Challenge at 2025 ICRA conference!

[2025-4] [Award] Weilong He won the prestigious NC State College of Engineering Doctoral Scholar of the Year. Congratulations!

[2025-4] [Award] Dr. Xiang received the department Outstanding Research Award. Congratulations!

[2025-4] [Award] Evelynn Wilcox won the prestigious National Science Foundation (NSF) Graduate Research Fellowship. Congratulations!

[2025-4] [Invited Talk] Dr. Xiang is invited to give a talk at the Genetic Engineering and Society (GES) Colloquium!

[2025-3] [Competition] Postdoc Dr. Prem Raj won 3rd place in the BAE Three-Minute Thesis Competition. Congratulations!

[2025-3] [Award] Dr. Xiang won the Food and Agriculture Research (FFAR) New Innovator Award. Congratulations!

[2025-3] [Service] Dr. Xiang is invited as a panelist for the Career Paths Panel at the ASPB Southern Section Regional Meeting.

[2025-1] [Award] Weilong He was named Rising Seed Star in 2025. Congratulations!

[2024-12] [Award] Congrats to Dr. Xiang for being named NC State 2024-25 class of Goodnight Early Career Innovators!

[2024-9] [Invited Talk] Dr. Xiang is invited to give a talk at Philippine Rice Research Institute!

[2023-5] [Funding] Our project about tomato disease is funded by USDA-NIFA. Cheers!

[2024-8] [Research] Weilong's work about plant phenotyping is featured in CALS Magazine. Cheers!

[2024-8] [Competition] Our robotics team, WolfAdvance, won first place in the advanced division at the 2024 ASABE Robotics Competition! Congratulations!

[2024-8] [Competition] Our robotics team, RoboPack, won third place in the standard division at the 2024 ASABE Robotics Competition! Congratulations!

[2024-7] [Research] Our work collaborating with Dr. Lina Quesada is featured in NC State News!

[2024-7] [Research] Our work collaborating with Dr. Chris Reberg-Horton is featured on ABC11 Raleigh-Durham!

[2024-4] [Extension] We will lead a summer camp for high school students. More details at Residential Programs for Rising 11th/12th Grade Students. Join us for agricultural robotics!

[2024-3] [Service] Dr. Xiang is visiting University of Moldova as part of the NC State delegation.

[2024-9] [Invited Talk] Dr. Xiang is invited to give a talk at Corn Breeding Research Meeting in Raleigh, NC!

[2024-1] [Service] Dr. Xiang serves as a guest editor for Computers and Electronics in Agriculture. Welcome to submit your work here!

[2024-1] [Competition] Zhenghua and Weilong won the Best Prototype Award at NC State’s Sustainability Innovation Competition, Make-A-Thon. Congrats!

[2023-9] [Award] Weilong He received the Norma L. Trolinder N.C. Plant Sciences Initiative Graduate Student Endowment Award. Congratulations!

[2023-8] [Lab] Welcome Zhenghua Zhang to AR Lab!

[2023-7] [Competition] Our robotics team won first place in the 2023 ASABE Robotics Competition! Congratulations to Team RoboPack!

[2023-7] [Competition] Weilong He won 3rd place in the AOCABFE Student Paper Competition. Congratulations!

[2023-6] [Extension] Dr. Xiang is leading a summer camp for high school students. Biological and Agricultural Engineering Summer Workshops Empower Students for the Future!

[2023-5] [Funding] Our project is funded by Chancellor's Innovation Fund. Cheers!

[2024-9] [Invited Talk] Dr. Xiang is invited to give a talk at Pickle Packers International Conference!

[2023-4] [Research] Our work about robotic plant phenotying was highlighted in the NSF newsletter!

[2023-1] [Lab] Welcome Weilong He to AR Lab!

[2023-1] [Funding] Our project is funded by Cotton Inc. Cheers!

[2022-8] [Lab] Dr. Xiang joined NC State as an Assistant Professor!


Gallery


Acknowledgements


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Sponsors

Let's Get In Touch!


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Lirong Xiang, Assistant Professor
Automation and Robotics Lab
204 Riley-Robb Hall, Cornell University
Ithaca, NY 14853
E-mail: lxiang@cornell.edu

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