This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) totaling $274,746 provides funding for the development of modular and updatable artificial intelligence capabilities for robotics. Optimizing Mind Inc. will utilize the award to create a novel computer vision architecture allowing robots to learn without rehearsal through corrections for real-world environmental details not present in training. This flexible...
This SBIR Phase I award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $304,952 to Sol Robotics, Inc. to develop a novel robotic arm technology. The goal is to create an affordable, high-performance robotic arm architecture with enhanced reach and payload capacity to enable automation of physically demanding and hazardous tasks in industries such as agriculture, construction, and warehousing. The project will...
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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $275,000 to Irradiant Sensing Corporation aims to develop a novel tactile sensing technology with applications in robotics and biomedical instruments. The project will create a high-resolution, high-force-sensitivity tactile sensor that can enable robots and robotic tools to safely and precisely interact with their environment, including soft biological tissues. This...
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 National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award of $240,000 supports research at Trustees of Boston University to develop autonomous artificial intelligence systems for safe human-robot interaction with soft robotic manipulators. The project aims to address key challenges in soft robot control, including meeting safety constraints, balancing compliance and strictness in control strategies, and enabling safe task transitions during contact with humans....
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...
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...