Project Grant 2443184
- This $276,056 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the Georgia Tech Research Corporation aimed at enabling service robots to rapidly and continuously adapt to new situations. The key products and services to be delivered include: Developing a new robot learning system that allows robots to learn new skills through a combination of intelligent planning guidance and...
- 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...
- The National Science Foundation (NSF) awarded a $703,424 Faculty Early Career Development (CAREER) Program grant to Virginia Polytechnic Institute & State University (Virginia Tech) to develop hardware and software tools to facilitate communication between robots and humans through visual, auditory, and haptic interfaces. The research aims to formalize the bidirectional exchange between humans and robots as a closed-loop dynamical system, enabling assistive robots to learn user preferences...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) program provides funding of $1,186,632 to The Leland Stanford Junior University (Stanford University) for a research project titled "NRI: HIERARCHICAL REPRESENTATION LEARNING FOR ROBOT ASSISTANTS." The project aims to develop an automated robot assistant that can recognize a person's goals and provide the right objects at the right time, enabling people with...
- This five-year, $205,073 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support research at Tufts University to develop methods for transferring multisensory object knowledge across collaborative robots. The Principal Investigator will work to enable robots with different bodies, sensors and movement capabilities to learn from each other's experiences manipulating and perceiving objects through various senses. This...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, supports a research project titled "CAREER: ACTIVE SCENE UNDERSTANDING BY AND FOR ROBOT MANIPULATION" at Stanford University. The $130,000 grant, awarded on October 1, 2023, aims to develop a self-improving robot perception system that leverages manipulation skills for active scene understanding. The key focus is on enabling robots to...
- This Project Grant award for $50,000.00, provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to develop a framework for learning complex, long-horizon tasks from few-shot vision-language demonstrations. The primary objective is to enable robots to learn personalized tasks through natural interactions with users, who can provide visual demonstrations combined with language narration. The research leverages large language models to summarize vision-language...
- This Project Grant award, titled "CAREER: VERSATILE AND HIGH-PERFORMANCE SHARED AUTONOMY PARADIGMS FOR ASSISTIVE AND REHABILITATION ROBOTS", is funded by the National Science Foundation's Integrative Activities program (CFDA 47.083). The $273,424 award supports research to develop advanced, user-friendly assistive artificial intelligence (AI) systems that enable individuals with severe movement disabilities, such as paralysis, to control robotic devices. The project aims to create a...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $599,969 to San Jose State University Research Foundation to demonstrate the use of mixed reality and edge computing in human-robot interaction and collaboration. The key objectives are to: Develop immersive, context-aware experiences to study the psychological and ethical impacts of human-robot interaction using mixed reality simulations....
- This National Science Foundation (NSF) award under the STEM Education (CFDA 47.076) program provides $145,598 to Texas A&M University to develop an interactive virtual reality learning environment called VIRLE. The project aims to equip construction engineering and management students with the skills needed to effectively implement wearable robot solutions to address ergonomic risks in the construction industry. Key products and services to be delivered include: Identifying the required...
CAREER: WATCH, INTERACT, COLLABORATE: ONLINE LEARNING PARADIGMS FOR ROBOT APPRENTICES -ROBOTS CAN MAKE OUR LIVES BETTER BY HELPING AT HOME, IN HOSPITALS, AND ON FARMS. BUT MOST ROBOTS TODAY CAN ONLY DO TASKS THAT ARE PRE-PROGRAMMED AHEAD OF TIME. THEY CANNOT HANDLE NEW SITUATIONS OR LEARN FROM PEOPLE. THIS PROJECT SUPPORTS RESEARCH TO CREATE ROBOT HELPERS THAT LEARN NEW SKILLS LIKE HUMANS DO. THESE ROBOTS WILL LEARN BY WATCHING PEOPLE, TRYING TASKS, AND IMPROVING FROM FEEDBACK. THIS WORK SHOULD MAKE ROBOTS MORE HELPFUL AND FLEXIBLE, SO THEY CAN SOLVE HARDER PROBLEMS IN THE REAL WORLD. IT ALSO INTENDS TO HELP US UNDERSTAND HOW ROBOTS CAN LEARN AND ADAPT. THE PROJECT LOOKS TO IMPROVE ROBOTS FOR HOMES, HEALTHCARE, AND AGRICULTURE. IT WILL ALSO GET STIMULATE STUDENTS IN SCIENCE THROUGH HANDS-ON ROBOTIC ACTIVITIES. THIS PROJECT SEEKS TO DEVELOP A NEW FRAMEWORK FOR TEACHING ROBOTS TO LEARN TASKS IN REAL TIME. IT USES THREE KEY APPROACHES. (1) LEARNING FROM DEMONSTRATION HELPS ROBOTS GAIN SKILLS BY WATCHING HUMAN ACTIONS. IT ADDRESSES DIFFERENCES BETWEEN WHAT HUMANS SHOW AND WHAT ROBOTS CAN DO. THIS ALLOWS ROBOTS TO APPLY KNOWLEDGE ACROSS DIFFERENT TASKS AND PLACES. (2) LEARNING THROUGH INTERACTION HELPS ROBOTS TAKE IN FEEDBACK FROM PEOPLE AND THEIR SURROUNDINGS. IT HANDLES SITUATIONS WHERE INFORMATION MAY BE UNCLEAR OR INCOMPLETE. (3) LEARNING THROUGH COLLABORATION HELPS ROBOTS UNDERSTAND HUMAN INTENTIONS AND GOALS. IT MAKES EFFECTIVE TEAMWORK ON SHARED TASKS POSSIBLE. RESEARCHERS WILL TEST THESE APPROACHES IN REAL-WORLD SETTINGS SUCH AS HOMES AND GREENHOUSES. APPLICATIONS RANGE FROM COLLABORATIVE COOKING TO ORGANIZING CLUTTER AND MANAGING CROPS. THE PROJECT INCLUDES EDUCATIONAL PROGRAMS WITH INTERACTIVE ROBOTICS ACTIVITIES FOR K-12 STUDENTS. IT PROVIDES ACCESSIBLE ONLINE RESOURCES TO INCREASE PARTICIPATION IN STEM AND ROBOTICS RESEARCH. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $25.0k | 8/14/25 |