Project Grant 2138896
- 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...
- 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 Project Grant award of $489,214 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research at Oregon State University to develop techniques to help robots recover from grasping failures in various settings, including homes and underwater environments. The goal is to improve the grasping success rate and reduce the number of attempts required, benefiting multiple sectors of the U.S. economy, from fisheries to household consumer goods. Key focus areas...
- The Trustees of the Stevens Institute of Technology received a $199,997 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The funding supports research to develop a novel system representation framework for complex engineering systems using technology recursion and the renormalization group transformation method. The research aims to establish a rigorous mathematical...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a $200,000 Engineering Research Initiation (ERI) grant to The Trustees of the Stevens Institute of Technology, effective September 1, 2025, through August 31, 2027. This project grant supports fundamental research in the development of soft robotic devices designed to deliver musculoskeletal manipulation therapy for pain reduction. The research addresses the...
- This $548,168 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop and translate robotic manipulator technology for enhanced supply chain efficiency and dexterous material handling. The principal investigator's team at Columbia University will build on their previous work in deep reinforcement learning for complex robotic manipulation tasks, focusing on extrinsic manipulation strategies that can enable...
- 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 $349,000 National Science Foundation project grant supports research at Rice University to develop new robotics capabilities under uncertainty. The NSF Division of Civil, Mechanical, and Manufacturing Innovation is funding this three-year award through its Engineering program (CFDA 47.041). Specifically, the researchers will establish generic frameworks for robot manipulation systems to self-identify using exploratory motions while maintaining stability. By changing the traditional...
- The National Science Foundation (NSF) awarded a $190,402 Project Grant under the Engineering program (CFDA 47.041) to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This collaborative research project develops a novel adaptive data collection framework to enable reliable data collection under severe time and resource constraints for automated post-disaster rapid damage assessment. The system leverages a Bayesian probabilistic modeling approach to dynamically...
- This three-year $200,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Case Western Reserve University to develop adaptive mechanics, learning and intelligent control technologies to improve soft robotic grasping. The university researchers will work to foster innovation in soft robotics through engineering research aimed at enabling soft robotic end effectors with enhanced grasping capabilities. Building on prior work, the project...
The National Science Foundation awarded The Trustees of the Stevens Institute of Technology a $189,995 Project Grant under the Engineering (47.041) federal grant program. The award will support research to develop enhanced teleoperation methods for remotely operated manufacturing tasks requiring grasped tools. Specifically, the grantee will investigate tool grasping compliance and stability in force-controlled tasks, and incorporate grasping information into model-mediated telemanipulation. A framework will be established to estimate grasping compliance matrices for underactuated robotic hands using sensor feedback. Compliance estimates will then inform grasping status, stability, and novel force control strategies. Finally, grasping-informed virtual fixture haptic assistance will be designed and implemented in the telemanipulation system. The research aims to empower remote workforces through extended physical reach, manipulation dexterity, and situational awareness when performing hazardous on-site manufacturing tasks.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $190.0k | 2/22/22 |