Laboratory for AI,
Robotics, and Automation

Developing autonomous systems that learn, adapt, and operate in complex environments at UC Davis.

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UC Davis Engineering Building

Research Focus

Autonomous Systems

Developing intelligent systems that can operate independently in complex environments

Industrial Diagnostics

Creating solutions that enhance efficiency and safety in manufacturing and industrial processes

Health Diagnostics

Applying AI and robotics to improve medical diagnostics and healthcare delivery systems

Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data

Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data

Amin Ghafourian, Andrew Lee, Dechen Gao, Tyler Beer, Kin Yen, Iman Soltani
arXiv preprintpreprint2025

Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation

A Basheer, J Chang, Y Chen, D Kim, I Soltani
arXiv preprintpreprint2025
User-Centered Insights into Assistive Navigation Technologies for Individuals with Visual Impairment

User-Centered Insights into Assistive Navigation Technologies for Individuals with Visual Impairment

I Soltani, J Schofield, M Madani, D Kish, P Emami-Naeini
arXiv preprintpreprint2025

Infrared Vision Systems for Emergency Vehicle Driver Assistance in Low-Visibility Conditions

MM Naddaf-Sh, A Lee, K Yen, E Amini, I Soltani
arXiv preprintpreprint2025

Design and Implementation of a Dual Uncrewed Surface Vessel Platform for Bathymetry Research under High-flow Conditions

D Kumar, A Ghorbanpour, K Yen, I Soltani
arXivpreprint2025
Active vision might be all you need: Exploring active vision in bimanual robotic manipulation

Active vision might be all you need: Exploring active vision in bimanual robotic manipulation

I Chuang, A Lee, D Gao, I Soltani
IEEE International Conference on Robotics and Automation (ICRA)conference2025
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center

A Ghafourian, H Shui, D Upadhyay, R Gupta, D Filev, I Soltani
IEEE Transactions on Neural Networks and Learning Systemsjournal2024

Cardreamer: Open-source learning platform for world model based autonomous driving

D Gao, S Cai, H Zhou, H Wang, I Soltani, J Zhang
IEEE Internet of Things Journaljournal2024

MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment

E Kazemi, I Soltani
arXiv e-printspreprint2024

InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation

A Lee, I Chuang, LY Chen, I Soltani
Conference on Robot Learning (CoRL)conference2024
Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Retinopexy

Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Retinopexy

A Nisanova, A Yavary, J Deaner, FS Ali, P Gogte, R Kaplan, KC Chen
Ophthalmology Science 4 (5), 100470journal2024

Assessing the impact of driver compliance on traffic flow and safety in work zones amid varied mixed autonomy scenarios

IS Ehsan Kazemi
Transportation Research Interdisciplinary Perspectives 27journal2024

Hierarchical end-to-end autonomous navigation through few-shot waypoint detection

A Ghafourian, Z CuiZhu, D Shi, I Chuang, F Charette, R Sachdeva
IEEE Robotics and Automation Letters 9 (4), 3211-3218journal2024

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation

IS Debo Shi, Alireza Rahimpour, Amin Ghafourian, Mohammad Mahdi Naddaf
Sensors 23 (13)journal2023

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles

Z CuiZhu, F Charette, A Ghafourian, D Shi, M Cui, A Krishnamachar
arXiv preprintpreprint2023
Anomaly detection with domain adaptation

Anomaly detection with domain adaptation

Z Yang, I Soltani, E Darve
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognitionconference2023
Memory-augmented generative adversarial networks for anomaly detection

Memory-augmented generative adversarial networks for anomaly detection

Z Yang, T Zhang, IS Bozchalooi, E Darve
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2324-2334journal2021

Regularized cycle consistent generative adversarial network for anomaly detection

Z Yang, I Soltani Bozchalooi, E Darve
ECAI 2020, 1618-1625conference2020

Active scanning probes: A versatile toolkit for fast imaging and emerging nanofabrication

IW Rangelow, T Ivanov, A Ahmad, M Kaestner, C Lenk, IS Bozchalooi, F Xia, K Youcef-Toumi, M Holz, A Reum
Journal of Vacuum Science & Technology B 35 (6), 06G101journal2017
Induced vibration contact detection for minimizing cantilever tip-sample interaction forces in jumping mode atomic force microscopy

Induced vibration contact detection for minimizing cantilever tip-sample interaction forces in jumping mode atomic force microscopy

F Xia, I Soltani Bozchalooi, K Youcef-Toumi
IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)conference2017

Design and control of multi-actuated atomic force microscope for large-range and high-speed imaging

I Soltani Bozchalooi, A Careaga Houck, JM AlGhamdi, K Youcef-Toumi
Ultramicroscopy 160, 213-224journal2016
A study on the effectiveness of proportional-integral-derivative control in multi-actuated atomic force microscopy

A study on the effectiveness of proportional-integral-derivative control in multi-actuated atomic force microscopy

I Soltani Bozchalooi, AC Houck, K Youcef-Toumi
American Control Conference (ACC)conference2015
Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy

Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy

A Schuh, I Soltani Bozchalooi, IW Rangelow, K Youcef-Toumi
American Control Conference (ACC)conference2015

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Sensors Journal: Deep Bayesian-Assisted Keypoint Detection

August 21, 2023

Publication

CVPR 2023

April 03, 2023

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NeurIPS 2022

November 13, 2022

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LARA Seminar Series

February 23, 2022

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