Project Grant 2505686

Award Date 10/1/24
Completion Date 9/30/26
Dollars Obligated $188K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Denton, TX 76205, USA
Similar Awards
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, CFDA #47.070, provides $253,618 to Michigan State University from October 1, 2022 to September 30, 2025. The funding supports research into collaborative reinforcement learning approaches for multi-robot systems that ensure safety and privacy protection. The researchers will develop a model-enabled technique combining model-based safety with model-free reinforcement learning,...
This $190,504 National Science Foundation project grant supports the development of novel methodologies for multi-robot coordination grounded in human collaboration. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the awardee Brown University will create an online crowdsourcing application to collect data on how distributed human teams coordinate to complete tightly coupled tasks when constrained to limited information and actions similar to robots....
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Houston System, a Hispanic Serving Institution, for the project "COLLABORATIVE RESEARCH: CISE-MSI: DP: CNS: ENABLING ON-DEMAND AND FLEXIBLE MOBILE EDGE COMPUTING WITH INTEGRATED AERIAL-GROUND VEHICLES." The project aims to develop an innovative "Aerial-Ground Intelligent Vehicular Edge (AGILE)" system that...
This $383,771 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research effort at the University of Massachusetts (UMass) and Worcester Polytechnic Institute (WPI) to develop techniques for efficiently offloading heterogeneous computational workloads to edge computing devices. The research aims to create novel methods for handling diverse processing needs, such as graphics,...
This $499,861 National Science Foundation project grant under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of real-time, scalable and secure collaborative intelligence capabilities at the edge. Wayne State University is the primary awardee and will work with sub-awardee University of Delaware to implement collaborative learning algorithms enabling distributed, privacy-preserving training across edge devices for multi-target tracking...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $375,000 will fund research to develop tools to design provably safe autonomous systems. Key activities include: Developing inverse reinforcement learning algorithms to align an RL agent's norms with those of its designers, constrained by deontic logic. Systematically exploring the agent's norms to uncover unknowns and generate surprising...
This federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a novel introspective counterfactual reasoning capability to enhance the robustness and resilience of autonomous robotic systems. The $574,491 project, awarded on September 1, 2024, with a completion date of August 31, 2027, aims to enable robots to better anticipate and adapt to unforeseen events, potential...
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 $200,000 National Science Foundation project grant, funded under the Engineering program (CFDA 47.041), supports research at Boston University from March 2023 to February 2028 on decentralized and online planning for emergent cooperation in multi-robot teams. The grantee will develop new distributed and decentralized control algorithms through research on reputation, reciprocity, and co-existence. This aims to enable robot teams to adapt cooperation based on task, surroundings, and...
This $204,205 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports the development of a cross-level methodology for enabling state-of-the-art reinforcement learning techniques to run on resource-constrained edge devices. The key products and services to be delivered through this 3-year award include: The proposed methodology involves co-designing techniques spanning device,...

This Project Grant award of $187,666.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an efficient, robust, and secure multi-robot system called "EdgeRobot". The project establishes an edge computing-based architecture and algorithmic framework to facilitate collaboration and coordination among autonomous robots in dynamic environments. The key research thrusts include: 1) providing optimal and location-aware computing services for collaborative robots using reinforcement learning-based algorithms, 2) enabling multi-agent reinforcement learning for cooperative tasks like target tracking in human-populated environments, and 3) integrating modern cryptographic and security primitives to secure collaboration among edge nodes. This project also aims to build research capacity and provide integrative research and education experiences for underrepresented minority students at six geographically diverse minority-serving institutions. The award period is from October 1, 2024 to September 30, 2026.

Generated 4/29/25, 4:54 AM