The National Science Foundation (NSF) awarded a $1,493,117 Project Grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the University of Massachusetts Lowell. The grant, effective July 1, 2024 through June 30, 2026, will fund the development of the Collaborative Open-Source Manipulation Performance Assessment for Robotics Enhancement (COMPARE) ecosystem. This ecosystem aims to improve the effectiveness of robot perception and grasping by establishing...
This National Science Foundation Project Grant award of $549,995 supports research and education activities at the University of Texas at Austin from April 1, 2022 through March 31, 2027. The award is funded through the Computer and Information Science and Engineering program (CFDA 47.070) to enable intelligent robot manipulation in real-world tasks. Specifically, the award will advance the development of new algorithms and tools for intelligent robot manipulation outside controlled research...
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...
The National Science Foundation (NSF) awarded a $489,214 Project Grant under its Engineering program (CFDA 47.041) to Oregon State University (OSU). The grant, with a performance period from June 15, 2025 to May 31, 2028, will fund research to develop robust failure recovery techniques for robotic manipulation in various settings, including homes and underwater environments. The project aims to improve the success rate and efficiency of robotic grasping by addressing challenges posed by...
This $349,032 project grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation Engineering Directorate supports research at Yale University to develop new paradigms for robot manipulation under uncertainty aided by passive adaptability. Specifically, the awardee will establish generic self-identification frameworks to allow robots to conduct exploratory motions that permit external perception of changes to generate online estimations and controllers....
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...
This three-year, $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop strategies for robotic manipulation without prior shape models of objects. The Massachusetts Institute of Technology will receive funding to design a state-estimation and task planning system that combines neural network perception with uncertainty modeling. This will enable robots to operate in less restrictive, real-world environments like...
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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $304,952 provides funding to Sol Robotics, Inc. to develop a novel robotic arm architecture designed to overcome limitations of traditional robot arms. The project aims to create a cost-effective, high-performance robotic arm capable of heavy payloads and extended reach, enabling automation of physically demanding tasks in industries such as agriculture, construction, and...
This $300,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) establishes a community-driven effort to provide essential access to the fundamental components of the field of soft robotics. The project aims to empower all members of the soft robotics community, including academia, industry, art, and hobby sectors, to create new applications of soft robotics technologies. Key activities include curating...