P
Pouya Sohrabipour
Researcher
unknown
Biological and Agricultural Engineering
2 h-index
8 pubs
38 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Pouya Sohrabipour's research focuses on the application of machine learning and robotics in agricultural settings, particularly within the poultry industry. His work investigates the use of advanced techniques for tasks such as instance segmentation of chicken carcasses, classification of woody breast conditions, and the development of customized robotic grippers for handling delicate bio-products. Sohrabipour has explored cost-effective active laser scanning systems for depth-aware instance segmentation and the utilization of synthetic data augmentation to improve model performance.
His recent publications also address the evaluation of robotic swabbing and fluorescent sensing for monitoring food contact surface hygiene. Sohrabipour collaborates with researchers at the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station, including Chaitanya Pallerla, Siavash Mahmoudi, Philip G. Crandall, and Amirreza Davar. He has published 9 papers with 33 citations and an h-index of 2.
Metrics
- h-index: 2
- Publications: 8
- Citations: 38
Selected Publications
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
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Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024)
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Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024)
Collaboration Network
Top Collaborators
Dongyi Wang
University of Arkansas at Fayetteville
9 shared publications
In database
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Showing 5 of 9 shared publications
Chaitanya Pallerla
University of Arkansas at Fayetteville
9 shared publications
In database
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Showing 5 of 9 shared publications
Siavash Mahmoudi
University of Arkansas at Fayetteville
8 shared publications
In database
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Showing 5 of 8 shared publications
Philip G. Crandall
University of Arkansas at Fayetteville
7 shared publications
In database
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 7 shared publications
Amirreza Davar
University of Arkansas at Fayetteville
6 shared publications
In database
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 6 shared publications
Wan Shou
University of Arkansas at Fayetteville
6 shared publications
In database
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Showing 5 of 6 shared publications
Ramesh Bahadur Bist
University of Arkansas at Fayetteville (US)
3 shared publications
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Yu She
Purdue University West Lafayette (US)
3 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Yu Feng
University of Arkansas at Fayetteville (US)
2 shared publications
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
C.M. Owens
University of Arkansas at Fayetteville
2 shared publications
In database
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Zhengtong Xu
Purdue University West Lafayette (US)
2 shared publications
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Yu She
Purdue University West Lafayette (US)
2 shared publications
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Tao Yang
University of Maryland, College Park (US)
1 shared publication
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
Ammirreza Davar
1 shared publication
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Clark Griscom
University of Arkansas at Fayetteville
1 shared publication
In database
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
Similar Researchers
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