Assistant Research Professor (Adjunct)

Aliasghar Arab’s Bio

As an Adjunct Professor in Robotics at NYU and Entrepreneurial Lead at Agile Safe & Secure Autonomous Systems (ASAS), I am deeply engaged in the advancement of Safe and Secure solutions for Autonomous Robots. My expertise, through a Doctorate in Control Systems, focuses on the development of Safe Motion Planning and Control methods by utilizing Machine Learning and AI methods based on Nonlinear Control Theories. Using classic control methods is crucial for formal assurance of safety and performance of these complex socio-technological systems. My commitment is not just academic; it’s about pioneering practical applications that push the boundaries in the field of robotics, aiming to revolutionize how these systems integrate into and impact our daily lives.

I have over eight years of industrial experience in Artificial Intelligence, Telecommunications, Industrial Automation, and Autonomous Vehicles. I have worked in academia (NYU) and with companies of varying sizes, from early-stage startups (Zoomi Inc., Nuro AI) to prestigious research labs (Nokia Bell Labs, Verizon Emerging Technologies Lab). I am passionate about enhancing the safety and reliability of robotic and autonomous systems for future sustainable autonomous communities. My goal is to advance state-of-the-art control theories using AI for autonomous robotic applications. He believes that his efforts will have a positive social and environmental impact.

Education

Doctor of Philosophy in Mechanical and Aerospace Engineering (Control Systems), Rutgers University
Master of Science in Electrical Engineering (Control Systems), Shahrood University of Technology
Bachelor of Science in Robotics Engineering (Dual Degree in Mechanical Engineering and Electrical and Computer Engineering), Shahrood University of Technology

List of Publications

Journal Papers:

Artificial Neural Networks-Based Fault Localization in Distributed Generation Integrated Networks Considering Fault Impedance, IEEE Access, 2024
RDT-RRT: Real-time double-tree rapidly-exploring random tree path planning for autonomous vehicles, Expert Systems with Applications, 2024
Hierarchical framework integrating rapidly-exploring random tree with deep reinforcement learning for autonomous vehicle, Applied Intelligence, 2023
Motion planning and control of autonomous aggressive vehicle maneuvers, IEEE Transactions on Automation Science and Engineering, 2023
Robust Impedance Control of Uncertain Mobile Manipulators Using Time-Delay Compensation, IEEE Transactions on Control Systems Technology, 2017
An uncertainty compensator for robust control of wheeled mobile robots, Advanced Robotics, 2015
Solving Inverse Kinematic of the Protein Nanostructure Using Genetic Algorithm, Journal of Mechatronics , 2015
An adaptive gradient descent-based local search in memetic algorithm applied to optimal controller design, Information Sciences, 2015
Robust control of a wheeled mobile robot by voltage control strategy, Nonlinear Dynamics, 2015
Voltage control strategy for an uncertain Mobile robot, International Journal of Intelligent Computing and Cybernetics, 2014
Design and implement of fuzzy control of a robotic camera for target tracking, Journal of Solid and Fluid Mechanics, 2014

Conference Papers:

Safety Prioritization by Iterative Feedback Linearization Control for Collaborative Robots, IEEE Conference on Control Technology and Applications (CCTA), 2024
Explainable Autonomous Mobile Robots: Interface and Socially Aware Learning, IEEE Conference on Robot and Human Interactive Communication (RO-MAN), 2024
Instructed reinforcement learning control of safe autonomous j-turn vehicle maneuvers, 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021
Safe predictive control of four-wheel mobile robot with independent steering and drive, IEEEAmerican Control Conference (ACC), 2021
Safety-guaranteed learning-predictive control for aggressive autonomous vehicle maneuvers, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2020
Optimal control of wheeled mobile robots: From simulation to real world, IEEE American Control Conference (ACC), 2020
Motion planning for aggressive autonomous vehicle maneuvers, D Song, IEEE International Conference on Automation Science and Engineering (CASE), 2016
Motion control of autonomous aggressive vehicle maneuvers, IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016
Robust control of a low-cost mobile robot using a neural network uncertainty compensator, Dynamic Systems and Control Conference (DSCC), 2014

US Patent:

Motion planning and control method of an overactuated four-wheel drive with constrained independent steering, US Patent, US2024/033741
Safe agile hazard avoidance system for autonomous vehicles, US Patent App. 18/209,943, 2024
Synchronization for battery powered IoT networks, US Patent 10,433,2703, 2019
Smart IoT self-healimg network, US Patent 20,180,332,846, 2018

Thesis:

PhD – Safe motion control and planning for autonomous racing vehicles, Rutgers The State University of New Jersey, 2021
Master – Robust tracking control of a mobile robots, Shahrood University of Technology, 2013

Updated List in Google Scholar