Project Grant 2221570

Award Date 9/1/22
Completion Date 8/31/26
Dollars Obligated $607K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Tallahassee, FL 32310, USA
Similar Awards
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 $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 $450,000 five-year project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Michigan to develop sensory-motor perception and control algorithms for dexterous object manipulation using visual and high-resolution tactile feedback. The key objectives are to: 1) create a physics-informed tactile representation that addresses "tactile shadows", a form of aliasing that can corrupt perception and state...
The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University a $249,489 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund a collaborative research project titled "Leveraging a Wrapped Haptic Display to Communicate Robot Learning and Accelerate Human Teaching" from October 1, 2021 to September 30, 2024. The project aims to develop technologies using haptic feedback to improve...
This $499,076 National Science Foundation (NSF) grant awarded under the CFDA 47.041 Engineering program aims to develop efficient computational methods for robots to learn reliable dexterous manipulation skills without relying on significant human effort or computational resources. The principal objectives are to: 1) Learn dexterous manipulation skills from observations, 2) Learn multi-sensory representations and models from self-guided play, and 3) Analyze and guarantee learned manipulation...
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 $300,000 National Science Foundation project grant supports the development of haptic technology innovations to guide student gesturing with dynamic STEM visualizations. Specifically, the University of Illinois will design and develop a custom haptic glove that interacts with a computer visualization of a biological cell. The goal is to determine how sensory feedback delivered to students' hands helps them understand representations displayed in computer simulations. Additionally, the...
This EAGER (Early-concept Grants for Exploratory Research) Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance dexterous teleoperation and human-robot collaboration technologies. The $160,000 award supports research to develop a learning-based robot control policy, a safety-aware multi-modal perception system, and integrated control and feedback mechanisms for intuitive and precise bi-directional human-robot interactions. The project...
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 $126,338 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development of a novel human-robot sensory interface for remote operation of undersea robots. The project, led by the University of Florida, aims to create an immersive mixed reality (MR) display that integrates robot sensor data and hydrodynamic simulations to provide tactile feedback and intuitive control for offshore industry workers operating remotely...

This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems will fund the development of shape-based remote manipulation technologies and educational outreach activities totaling $606,545. Under the Computer and Information Science and Engineering program (CFDA 47.070), the award supports four key objectives over a four-year period from September 2022 to August 2026.

First, the grantees at Florida A&M University will develop a remote manipulation testbed spanning two university campuses nearly 1,000 miles apart. Second, they will create techniques to obtain semantic, geometric, and physical information about objects in remote environments. Third, a novel shape interface will allow operators to grasp, feel and manipulate virtual objects through multi-finger haptic devices and geometric models. Fourth, the team will design shape-based control techniques coordinating operator and robot dexterity. The research has the potential to advance telehealth, remote caregiving, and educational outreach through new approaches to haptic feedback and telemanipulation.

Generated 1/7/24, 5:48 AM