I-Corps Award: Safe and Secure Solutions for Connected Cyber-Physical Systems

ASAS Labs NSF I-Corps Award Recognition
Agile Safe Autonomous Systems (ASAS) Labs recognized by the National Science Foundation I-Corps Program.

Agile Safe Autonomous Systems (ASAS)
was honored to participate in the
National Science Foundation (NSF)
Innovation Corps (I-Corps) Program hosted by the
Massachusetts Institute of Technology (MIT)
through the NE I-Corps Node.
This opportunity was instrumental in fostering the team’s leadership and entrepreneurial capabilities through personalized mentorship and structured guidance.

Over the seven-week program, the ASAS team—operating under Agile Safe Autonomy—developed a
cutting-edge business model around a proprietary technology focused on
the safety and security of future connected and autonomous systems.
Supported by experienced mentors, the team conducted more than 200 expert interviews across
robotics, autonomous vehicles, and automotive domains—gaining invaluable insight into industry challenges and
commercial opportunities.

The mentorship and collaboration throughout the program inspired the team to refine its strategic direction,
expanding from academic research into real-world application and market impact.
The experience strengthened the group’s foundation for translating scientific innovation into scalable and
societally beneficial technologies.


NSF Award Recognition


Safe and Secure Solutions for Connected Cyber-Physical Systems

The broader impact and commercial potential of this I-Corps project lies in the development of
innovative technologies to improve the safety and security of autonomous vehicles, robots, automation systems,
and smart devices
. Built upon human-inspired motion planning and control algorithms, the technology enables
high-agility maneuvers and risk-aware decision-making for complex, fast-moving systems.

The developed platform evaluates combined safety and security risk surfaces for connected cyber-physical
systems, enabling determination of their maximum operational domains and functional limits. It serves as a
simulation testbed to analyze interconnection security and real-world performance—offering a new paradigm for
verifiable autonomy.

Applications of this technology extend across the connected systems market, including autonomous vehicles,
robotics, and smart infrastructure. The solution also provides a framework for STEM education in robotics,
machine learning, and smart systems
, advancing national safety, prosperity, and innovation in autonomy.

This effort underscores ASAS Labs’ mission to translate fundamental research into safe, secure, and
trustworthy autonomous systems—bridging academia, industry, and government through innovation.

🚀 IEEE CASE 2025 Publication Announcement


We are excited to share that our paper, “Virtual Fencing for Safer Cobots”, has been accepted and published in the proceedings of the IEEE International Conference on Automation Science and Engineering (CASE) 2025!

This work introduces a Virtual Fencing Framework for Collaborative Robots (Cobots), integrating real-time human detection, zone-based safeguarding, and motion optimization via Sequential Quadratic Programming (SQP). Our experiments—conducted on a UR16e robotic arm equipped with a Jetson Orin Nano and Arducam IMX477 camera—demonstrated that this framework achieves 98% collision avoidance while reducing unnecessary downtime, resulting in up to 64.5% operational efficiency.

This paper is the result of a collaborative effort between Aliasghar Moj Arab, Ph.D., Durga Avinash Kodavalla, Rui Li, and Katsuo Kurabayashi. We extend our sincere appreciation to Nokia Bell Labs and NYU Tandon School of Engineering for their invaluable support and collaboration.

🔗 Read the full paper on IEEE Xplore

Looking ahead, our research will continue to explore dynamic safety zones, real-time trajectory re-planning, and intelligent safeguarding mechanisms for enhanced human–robot collaboration—further advancing the safety, reliability, and efficiency of autonomous robotic systems.

— Agile Safe Autonomous Systems (ASAS) Labs, New York University

Software Defined Vehicles and AI in Automotive

Assuring Safe Embodied Autonomy with AI

Researchers from NYU’s Agile Safe Autonomous Systems (ASAS) Labs and innovators from Gen Auto AI participated in the recent Software-Defined Vehicles & AI in Automotive Conference, joining leading experts to discuss the convergence of artificial intelligence, autonomy, and safety in next-generation mobility systems.

This collaboration exemplifies how academic research and startup agility can jointly advance the safety and reliability of intelligent autonomous systems—building the foundation for trustworthy, transparent, and verifiable autonomy.

— Agile Safe Autonomous Systems (ASAS) Labs, New York University