Areas of Expertise
Dr. Aliasghar Arab stands out as a leading figure in Autonomous Mobile Robotics (AMRs), with his research focusing on:
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Autonomous Vehicle: Specializing in the autonomous vehicles from developing formal safety verification and validation methods to developing novel motion planning and control methods to enhance their performance and safety in high-speed conditions through advanced control systems.
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Motion Planning in Uncertain Environments: Expert in devising strategies for autonomous systems to navigate and operate safely in unpredictable settings, ensuring efficiency and safety.
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Safe Human-Robot Interaction (HRI): Pioneering safe interactions between humans and robots, Dr. Arab’s work ensures that autonomous systems engage with humans effectively and securely with proper human-centric explainability of AI decisions.
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Safety and Security of Autonomous Systems: Focused on developing robust safety and security protocols for autonomous systems, addressing both operational integrity and protection against cyber threats.
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Cyber-Physical Systems and IoT: Dr. Arab’s recent research extends into the integration of autonomous systems with cyber-physical systems and the Internet of Things (IoT), highlighting the interconnectedness and potential vulnerabilities in modern technological ecosystems.
Dr. Aliasghar Arab’s contributions are pivotal in advancing the safety, efficiency, and reliability of autonomous systems, guiding both theoretical exploration and practical application in the field. His work continues to inspire innovation, setting new standards for the development of autonomous and robotic technologies.
Grants
- NSF I-Corps
- NJEDA CSIT
Ongoing Research Projects
Dr. Aliasghar Arab’s research is at the cutting edge of autonomous robotics, with a particular focus on the integration of classic control methods artificial intelligence (AI) (Controller-Aware Learning Methods) to enhance design, safety, and operational capabilities. His ongoing projects include:
1. Urban Robotics
This project aims to develop autonomous robotic solutions specifically tailored for urban environments. By focusing on the unique challenges posed by densely populated areas, such as navigation amidst pedestrians and urban traffic, Dr. Arab’s research leverages AI to enhance the ability of robots to safely and efficiently perform tasks ranging from delivery services to environmental monitoring.
2. Safety and Security Assurance in Autonomous Systems
Recognizing the paramount importance of safety and security in the deployment of autonomous systems, this research project is dedicated to creating robust frameworks for risk assessment and mitigation. Utilizing advanced AI algorithms, Dr. Arab’s work seeks to identify potential vulnerabilities in autonomous systems and implement preemptive measures to assure safety and security against operational failures and cyber threats.
3. Leveraging AI for Autonomous System Design and Operation
This project explores innovative ways to incorporate AI into the lifecycle of autonomous systems, from design to operation. Dr. Arab investigates how AI can optimize system architecture, improve decision-making processes, and enable adaptive learning capabilities. The goal is to create autonomous systems that are not only more efficient and effective but also capable of evolving in response to changing environments and tasks.
Dr. Aliasghar Arab’s research projects are driving advancements in autonomous robotics, pushing the boundaries of what these technologies can achieve. Through his work in urban robotics, safety and security assurance, and the application of AI, Dr. Arab is contributing to the development of intelligent, reliable, and adaptable autonomous systems for the future.
My Laboratory (Under Development)
Agile Safe Autonomous Systems (ASAS) Labs