Solving the find-path problem: a complete and less complex approach using the BIE methodology. - Iraj Mantegh; Michael R. M. Jenkin; Andrew A. Goldenberg (CIRA, 1997)

A probability-based approach to model-based path planning. - Iraj Mantegh; Michael R. M. Jenkin; Andrew A. Goldenberg (IROS, 1997)

Adaptive and less-complex path-planning behavior for mobile robots. - Iraj Mantegh; Michael R. M. Jenkin; Andrew A. Goldenberg (Mobile Robots, 1997)

Path Planning for Autonomous Mobile Robots Using the Boundary Integral Equation Method. - Iraj Mantegh; Michael R. M. Jenkin; Andrew A. Goldenberg (J. Intell. Robotic Syst., 2010)

Convergence analysis and controller design for a team of mobile robots subject to measurement error. - Mahsa A. Golkar; Ahmadreza Momeni; Kaveh Moezzi; Amir G. Aghdam; Iraj Mantegh (ACC, 2011)

Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping. - Aleksandar Vakanski; Iraj Mantegh; Andrew Irish; Farrokh Janabi-Sharifi (IEEE Trans. Syst. Man Cybern. Part B, 2012)

An image-based trajectory planning approach for robust robot programming by demonstration. - Aleksandar Vakanski; Farrokh Janabi-Sharifi; Iraj Mantegh (Robotics Auton. Syst., 2017)

Integrated Collision Avoidance for Unmanned Aircraft Systems with Harmonic Potential Field and Haptic Input. - Iraj Mantegh; Jack Liao; Tong He (SII, 2020)

Hybrid AI-enabled Method for UAS and Bird Detection and Classification. - Xu Zhang; Varun Mehta; Miodrag Bolic; Iraj Mantegh (SMC, 2020)

Drone-vs-Bird Detection Challenge at IEEE AVSS2021. - Angelo Coluccia; Alessio Fascista; Arne Schumann; Lars Sommer; Anastasios Dimou; Dimitrios Zarpalas; Fatih Cagatay Akyon; Ogulcan Eryuksel; Kamil Anil Ozfuttu; Sinan Onur Altinuc; Fardad Dadboud; Vaibhav Patel; et al. (AVSS, 2021)

Single-Stage UAV Detection and Classification with YOLOV5: Mosaic Data Augmentation and PANet. - Fardad Dadboud; Vaibhav Patel; Varun Mehta; Miodrag Bolic; Iraj Mantegh (AVSS, 2021)

Simulated Dataset for the Loaded vs. Unloaded UAV Classification Problem Using Deep Learning. - Hamid Azad; Varun Mehta; Miodrag Bolic; Iraj Mantegh (SAS, 2023)

A Deep Learning Approach for Drone Detection and Classification Using Radar and Camera Sensor Fusion. - Varun Mehta; Fardad Dadboud; Miodrag Bolic; Iraj Mantegh (SAS, 2023)

Object Semantics Give Us the Depth We Need: Multi-Task Approach to Aerial Depth Completion. - Sara Hatami Gazani; Fardad Dadboud; Miodrag Bolic; Iraj Mantegh; Homayoun Najjaran (SMC, 2023)

Hybrid Framework for UAV Motion Planning and Obstacle Avoidance: Integrating Deep Reinforcement Learning with Fuzzy Logic. - Bingze Xia; Iraj Mantegh; Wen-Fang Xie (CoDIT, 2024)

An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems. - Kesav Kaza; Varun Mehta; Hamid Azad; Miodrag Bolic; Iraj Mantegh (CoRR, 2024)

Bag of Views: An Appearance-Based Approach to Next-Best-View Planning for 3D Reconstruction. - Sara Hatami Gazani; Matthew Tucsok; Iraj Mantegh; Homayoun Najjaran (IEEE Robotics Autom. Lett., 2024)

DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains. - Fardad Dadboud; Hamid Azad; Varun Mehta; Miodrag Bolic; Iraj Mantegh (WACV, 2025)