Project Grant 2051644
- 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 $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...
- Federal Grant Award Summary Award Details: Sensate Robotics Inc. received a $304,917 Phase I Small Business Innovation Research (SBIR) grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) on October 1, 2025, with a completion date of September 30, 2026. Products and Services: This project delivers a novel tactile-enabled robotic quality control cell that integrates advanced touch-based sensing technology into robotic...
- Federal Cooperative Agreement Summary Tangible Robotics Inc. received a $1.554 million Cooperative Agreement from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded on September 15, 2025, with a completion date of October 31, 2027. This Small Business Innovation Research (SBIR) Fast-Track project will develop advanced dexterous robotic manipulation systems capable of performing complex, contact-rich industrial tasks currently beyond the...
- This $50,000 Project Grant was awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to The Leland Stanford Junior University (Stanford University) to develop a novel approach for robotic dexterous manipulation that leverages the powerful new object representation of neural radiance fields (NeRFs). The primary objective is to create an algorithmic pipeline that can go from camera pixels to grasp to manipulation trajectory, enabling complex manipulation skills such as...
- This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 in funding to Sufficiently Advanced, Inc. for the development of an AI-powered robotic control system. The objective is to enhance automation capabilities and create a more adaptive future labor force by automating repetitive, dull, dirty, and dangerous tasks across various industries. The Phase I project will focus on advancing...
- This SBIR Phase I Project Grant, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a novel robotic arm architecture with enhanced reach, payload capacity, and affordability. The $304,952 award to Sol Robotics, Inc. will fund the creation of a robotic arm system that uses proprietary linear actuation technology in a parallel truss configuration to overcome limitations of traditional robot arms. The project...
- 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 $272,617 National Science Foundation (NSF) Engineering program (CFDA 47.041) award to the University of Illinois supports fundamental research on high-dimensional proprioceptive and tactile sensing methods for soft robotic grippers. The project aims to develop a new framework, called DeepSORO, that uses embedded cameras and advanced deep learning models to provide real-time, high-resolution sensing and state estimation of the grippers' kinematics and dynamics. This research seeks to...
- 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...
Dextrous Robotics, Inc. received a $256,000 Small Business Innovation Research Phase I Project Grant from the National Science Foundation under the Engineering program (CFDA 47.041) to develop automated perception capabilities for robotic chopsticks manipulating small and large objects in constrained spaces. The six-month project running from July to December 2021 aims to advance robotic grasping technologies through research on computer vision and tactile sensing that enables dexterous manipulation of irregularly shaped items in environments with limited room for maneuvering. Project outcomes will evaluate the robotic system's ability to identify and securely transport a variety of payloads typical of warehouse and logistics applications. Findings from this early-stage feasibility study could ultimately help automate material handling and fulfillment center operations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $256.0k | 6/30/21 |