Project Grant 2144489

Award Date 2/1/22
Completion Date 1/31/27
Dollars Obligated $1.2M
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15213, USA
Similar Awards
This National Science Foundation (NSF) Engineering (CFDA 47.041) grant award of $361,090.00 to Carnegie Mellon University (CMU) will support research aimed at expanding the understanding of how robots can make safe decisions in unstructured, real-world environments. The project, titled "CAREER: Formalizing Open World Safety for Interactive Robotics," seeks to develop new methods that enable robots to better assess safety constraints and respond to nuanced safety challenges beyond...
This $425,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a framework for ensuring the safety of future robotic systems. The research project, led by The Trustees of Princeton University, aims to lay the foundation for safe robot autonomy by enabling robots to continually prove the safety of their actions under a wide range of operating conditions, from complex physical...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) focuses on developing tools to ensure the safe operation of autonomous systems, such as robots and self-driving vehicles. The $375,000 award will be used by the University of Massachusetts to: 1) develop algorithms to align the learned norms of reinforcement learning agents with the intended design goals; 2) create formal verification...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award, totaling $639,945, was provided to Carnegie Mellon University (CMU) from June 2024 through May 2027. The research project focuses on developing methods to detect faults in robotic and autonomous systems (RAS) by analyzing program artifacts and real-world data. Key deliverables include: 1) techniques to infer behavior models and check them against...
This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award of $240,000 supports research at Trustees of Boston University to develop autonomous artificial intelligence systems for safe human-robot interaction with soft robotic manipulators. The project aims to address key challenges in soft robot control, including meeting safety constraints, balancing compliance and strictness in control strategies, and enabling safe task transitions during contact with humans....
This $564,734 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop principled algorithms and practical tools that systematically discover and repair unsafe behavior in autonomous vehicle systems. The key objectives are to: Create an automated method for constructing diverse test scenarios that can deeply explore realistic traffic situations and identify collision-inducing scenarios. Develop...
The National Science Foundation (NSF) awarded a $550,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Rector & Visitors of the University of Virginia (University of Virginia) to conduct research on developing methods to improve the safety and reliability of robotic and autonomous systems (RAS) operating in complex real-world environments. The key objectives of the 3-year project are to: 1) create techniques to extract...
This $800,000 Project Grant award to The Trustees of Princeton University, Department of Research and Project Administration, was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to develop new techniques for constructing a vision-based safety supervisor that can endow autonomous robotic systems, such as self-driving cars and home robots, with the safety property of "graceful degradation."...
This $522,592 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create a data-driven autonomy framework that enables everyday workers to safely and effectively teach robots. The research will advance the state-of-the-art in dynamical systems and control through three interconnected thrusts: 1) developing a novel framework for data-driven control of complex, hard-to-model systems; 2) introducing methods for teaching robots through...

This five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure.

The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize performance when safety can be managed, anticipate and compensate for inevitable failures when it cannot, and learn from past mistakes. It is intended to increase trust in autonomous systems while minimizing human effort for deployment and maintenance. The research also aims to contribute to cross-task safeguard approaches that augment hardware without manual tuning, monitor and optimize nominal task-oriented controls to satisfy safety requirements, and accomplish these objectives under time-varying uncertainty. Evaluation will utilize simulation and experiments with autonomous vehicles interacting with human-driven vehicles and robotic arm manipulators sharing space with humans and other robots. Funded under the NSF's Engineering program (CFDA 47.041), this award supports the program's goals of fostering innovation and excellence in engineering research.

Generated 1/6/24, 2:04 PM