Award Winning NSF Grant: Advancing Safety and Security of Cyber-Physical Systems
In an urban, high-paced city like NYC, agility and safety are crucial for the social acceptance of robots. Dull, slow, or unsafe robots simply do not meet the dynamic expectations of such environments. Social acceptance of robotics is a complex issue, balancing between upper and lower limits in performance and behavior. To navigate this, an autonomy architecture that guarantees safety and consistent performance in diverse operational conditions is essential. Utilizing advanced control theory techniques and safety theoretic process methods, alongside learning from standards, regulations, and societal feedback, helps in building safety constraints and understanding social norms. This approach ensures that robots are not only technically proficient but also socially harmonious in their interactions within urban landscapes.
Meet the Founder: Dr. Aliasghar Arab
Dr. Aliasghar Arab is the visionary founder of the Agile Safe Autonomous Systems Lab at NYU. With extensive experience in both industry and academia, Dr. Arab has made significant contributions to the fields of motion control, motion planning for autonomous racing, IoT, smart cities, drones, and communications.
In the industry, Dr. Arab has worked with prestigious organizations such as Bell Labs, Verizon, and various autonomous vehicle companies. His expertise spans across developing advanced autonomous systems and ensuring their safe and efficient operation in complex environments.
In academia, Dr. Arab’s research focuses on the integration of control theory and AI to develop innovative solutions for urban mobility and smart infrastructure. His work aims to create autonomous systems that are not only technically advanced but also socially acceptable and safe.
Under Dr. Arab’s leadership, the Agile Safe Autonomous Systems Lab is committed to advancing the state of autonomous technology and its applications in urban environments.