This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award to Montclair State University supports research to advance multi-human, multi-robot collaborative manufacturing systems in emerging Industry 5.0 contexts. The $500,000 grant, spanning 5 years from September 2024 to August 2029, aims to develop a synergistic computational framework for characterizing, modeling, and assessing human factors and task scheduling to improve both manufacturing efficiency...
Worcester Polytechnic Institute (WPI) received a three-year, $530,029 Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation. The grant supports WPI's "MAKING SENSE: SIMULTANEOUS SENSOR CONFIGURATION AND OPTIMAL CONTROL FOR AUTONOMOUS SYSTEMS" project under the NSF Engineering Program (CFDA 47.041). The project aims to develop new techniques for simultaneous sensor configuration and optimal control of autonomous...
The National Science Foundation (NSF) awarded a $600,000 Faculty Early Career Development (CAREER) Program grant under the Engineering program (CFDA 47.041) to Carnegie Mellon University. The 5-year project, starting on October 1, 2025, aims to develop: Improved simulation tools that can efficiently and accurately model complex physical phenomena, such as deformation, fluid interactions, and orbital dynamics, to support emerging robotics applications in areas like space and underwater...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at the Rochester Institute of Technology (RIT) to develop new robotic manipulation capabilities for safely and reliably handling fragile objects. The research aims to establish an understanding of the synergy between vision and touch sensing, and to create a control method based on object properties that can optimize robotic manipulation for a variety...
Worcester Polytechnic Institute received a five-year, $708k Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of new scientific instruments for classroom observation using a multi-modal machine learning approach. The goal is to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in computing, communications, and...
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 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 awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund $489,214.00 in research at Oregon State University (OSU) from June 15, 2025 to May 31, 2028. The goal is to develop techniques to help robots recover from grasping failures in various settings, including homes and underwater environments. Key research focus areas include addressing grasping failures caused by unknown object parameters, unknown object dynamics, and unknown scene...
This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund the development of advanced, vision-based tactile gel-robots capable of perceiving and manipulating soft, fragile objects. The $312,960 award will integrate fatigue-resistant photoelastic gels, stress-interpreting photometry systems, and physics-informed machine learning to enable multi-physical perception and ultra-gentle handling capabilities. This research will advance robotics in...
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...