This $187,666 project grant award from the National Science Foundation's (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 multi-robot collaboration and coordination in dynamic environments. Key research thrusts include developing novel edge computing infrastructure,...
This National Science Foundation (NSF) Early-concept Grants for Exploratory Research (EAGER) project aims to develop an immersive mixed-reality infrastructure that enables smooth sensorimotor interactions between humans and virtual scene simulations. The $149,999 award, granted under NSF's Engineering program (CFDA 47.041), supports research to establish a closed-loop AI-driven task environment for training applications. Key objectives include creating flexible training modules, developing...
This National Science Foundation (NSF) Early-Concept Grants for Exploratory Research (EAGER) Project Grant, awarded under the NSF Engineering program (CFDA 47.041), aims to develop research infrastructure to enhance human training through AI-driven task environments integrating humans with virtual scene simulations and multi-modal sensorimotor interactions. The $150,000 award to The Pennsylvania State University will fund research to: 1) establish an edge-assisted mixed-reality infrastructure...
This Project Grant award, totaling $377,674, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The primary objective of this 5-year project (06/15/2025 - 05/31/2030) is to develop advanced algorithms and methods to enhance the adaptability of multimodal human-robot interactions. The research aims to create robots that can better understand human intentions by leveraging verbal, gestural, and other nonverbal...
This $175,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an AI-driven collaborative goal setting system with cognitively assistive robots. The project, conducted by San Francisco State University (a Hispanic-Serving Institution), aims to create a human-AI system to help individuals with mild cognitive impairments set personalized goals and adapt robot behavior to...
This $140,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to revolutionize teleoperation technology for dexterous in-hand manipulation in human-robot collaboration. The primary research objectives are to: 1) develop a learning-based robot control policy to interpret human commands using end-effect-based task features, 2) create a safety-aware, multi-modal perception system to optimize sensory inputs for intuitive and safe operation, and...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $400,000 in funding to Northeastern University to develop advanced algorithms and infrastructure for low-latency edge computing to support high-quality augmented/virtual/mixed reality (XR) applications on mobile devices. The key product deliverables include: (1) Algorithms to optimize wireless base station association, beamforming, and content...
This five-year, $2.25 million project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of scalable design methodologies for distributed edge-cloud systems to enable multi-party augmented, virtual and mixed reality experiences. A team of researchers led by the University of Illinois at Urbana-Champaign will advance computer architecture, programming languages, systems, security and privacy techniques...
The National Science Foundation awarded Montclair State University a $173,490 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research from July 2021 to June 2023 on developing a bi-trust framework to improve collaboration between humans and robots. The Computer and Information Science and Engineering program aims to advance computing and informatics research and education. This award will further those goals by exploring how...
This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...