Project Grant 2544329
- Federal Project Grant Award Summary Carnegie Mellon University received a $348,956 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports foundational research to develop perception systems capable of understanding actionable 3D environments from 2D visual input. The project will produce computational approaches and...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Drexel University $600,000 on August 1, 2026, for a Faculty Early Career Development Program (CAREER) grant to develop small foundation models for real-time and scalable multi-robot coordination. The project addresses the computational limitations of current foundation models by creating compact vision-language and language models that run locally on individual robots to enable real-time...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a $650,000 CAREER (Faculty Early Career Development) grant to the University of Pennsylvania, effective July 1, 2025 through June 30, 2030, under the Engineering program (CFDA 47.041). This project grant funds research and development of constraint-aware algorithms and control methods that enable robots to safely and effectively collaborate with humans in dynamic,...
- Federal Grant Award Summary Carnegie Mellon University received a $500,000 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2030. This CAREER award supports fundamental research on safety, human alignment, and interaction-awareness in autonomous control systems operating across multiple domains including transportation,...
- 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...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $663,724 to The Research Foundation For The State University Of New York (operating as SUNY at Binghamton) on September 1, 2026, under the Engineering program (CFDA 47.041) to develop human-congruent embodied artificial intelligence and cognitive-behavioral architectures that enable robots to perceive work environments and collaborate with humans in ways aligned with human reasoning and expertise....
- Federal Grant Award Summary Carnegie Mellon University received a $725,000 Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) to support research on the mechanics of beadwork metamaterials. The five-year project, awarded on August 1, 2025 and extending through July 31, 2030, will investigate the emergent mechanical properties of beadwork—a programmable...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Purdue University $650,000 on May 1, 2026, under the NSF Engineering program (CFDA 47.041) to develop contact-aware soft continuum robots capable of performing contact-rich tasks through passively designed adaptive responses to touch. The project, titled "CAREER: Towards a Framework for Emergent Adaptability in Soft Continuum Robots," will advance fundamental knowledge of soft robot...
- Carnegie Mellon University was awarded a $317,416 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070) to support the research project "COLLABORATIVE RESEARCH: FRR: ADAPTIVE MECHANICS, LEARNING AND INTELLIGENT CONTROL IMPROVE SOFT ROBOTIC GRASPING" from February 1, 2022 to January 31, 2025. The grant will fund research at Carnegie Mellon...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Wyoming $562,580 on September 1, 2026, under the CAREER program (CFDA 47.041, Engineering) to develop AI-based interactive and adaptive robotic teaching systems for personalized, curriculum-based human motor skill training. Over the five-year period of performance (September 1, 2026 through August 31, 2031), the project will create a generative robotic teaching framework that...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Carnegie Mellon University $755,225 on September 1, 2026, under the Faculty Early Career Development Program (CAREER) to develop generative simulation methods for safe physical human-robot interaction. The award funds research to create a generative engine that converts natural language task descriptions into physically realistic simulation scenarios, enabling robots to train on virtually unlimited synthetic interaction data before engaging with people. The research pipeline will autonomously synthesize virtual human partners with parameterized soft tissue dynamics and clinically validated biomechanical constraints. This work addresses a critical bottleneck in robotics: the scarcity of large-scale representative training data for safe physical contact systems. Carnegie Mellon's Office of Sponsored Programs serves as the recipient. Work is performed in Pittsburgh, Pennsylvania, with a period of performance through August 31, 2031. The project integrates research outcomes into undergraduate and graduate robotics courses and a residential summer program for high school students, focusing on challenges of deploying artificial intelligence in safety-critical physical systems. The scientific foundations developed through this CAREER award are intended to accelerate development of assistive robots that reduce caregiver burden and improve quality of life.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $755.2k | 7/20/26 |