Cooperative Agreement 2321919
- 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...
- 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 $275,000 SBIR Phase I project grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) aims to develop software capabilities to improve automated harvesting of strawberries. The project will implement two key components: A trajectory optimization module for a robot manipulator's camera to maximize information gain and reduce localization uncertainty for strawberries while respecting kinematic and collision...
- 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...
- Federal Cooperative Agreement Summary Tangible Robotics Inc. received a $1,554,195 Small Business Innovation Research (SBIR) Fast-Track cooperative agreement from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), awarded September 15, 2025, with a completion date of October 31, 2027. The company will develop dexterous robotic manipulation systems capable of executing complex, contact-rich tasks in manufacturing and material handling...
- This $100,000 National Science Foundation Technology, Innovation, and Partnerships project grant funds the development of an optimized warehouse robot control device by the New Jersey Institute of Technology from June 2022 to May 2023. The proposed technology is a hardware and software-integrated firmware device to optimize order picking preferences for hybrid and fully automated warehouse management. The innovation focuses on reducing waste and improving efficiency or productivity in warehouses...
- 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...
- Ambi Robotics Inc. received a $972,586 Cooperative Agreement award from the National Science Foundation's Engineering program (CFDA 47.041) to develop advanced artificial intelligence and robotic systems for e-commerce logistics automation. Specifically, the company will create novel training systems for AI-enabled robotic pick-and-pack systems tailored to individual customer needs. Key deliverables include quality control vision modules, automated item pickability assessments, and enhanced AI...
- 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 $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...
SBIR PHASE II: AUTOMATED PERCEPTION FOR ROBOTIC CHOPSTICKS MANIPULATING SMALL AND LARGE OBJECTS IN CONSTRAINED SPACES -THE BROADER/COMMERCIAL IMPACT OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE II PROJECT SUPPORTS THE DEVELOPMENT OF ROBOTIC SOLUTIONS FOR UNLOADING NON-PALLETIZED PACKAGES OF DIFFERENT SHAPES AND SIZES IN LOGISTICS AND SIMILAR INDUSTRIES. THIS TECHNOLOGY MAY PROVIDE WORKERS WITH MORE SKILLED JOBS THAT REMOVE THE NEED FOR PHYSICALLY STRENUOUS LABOR IN UNHEALTHY ENVIRONMENTS. THE PROJECT SEEKS TO INCREASE US COMPETITIVENESS IN SUPPLY CHAIN LOGISTICS ($150 BILLION / YEAR MARKET IN THE US) BY HELPING SOLVE LONG-STANDING AND WORSENING EMPLOYEE RECRUITMENT AND RETENTION PROBLEMS. THE PROJECT HELPS THE US BECOME AN EARLY LEADER IN THE ROBOTIC MANIPULATION OF DIVERSE OBJECTS IN CONSTRAINED, UNSTRUCTURED ENVIRONMENTS WHILE SIMULTANEOUSLY TRAINING A WORKFORCE CAPABLE OF REMOTE MANIPULATION IN SAFE ENVIRONMENTS. THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE II PROJECT SUPPORTS THE DEVELOPMENT OF ROBOTIC SOLUTIONS FOR UNLOADING NON-PALLETIZED PACKAGES OF DIFFERENT SHAPES AND SIZES IN LOGISTICS AND SIMILAR INDUSTRIES. AT PRESENT, THERE ARE FEW COMMERCIALLY-AVAILABLE AUTOMATED SOLUTIONS FOR THIS TASK. THOSE FEW MACHINES ARE BRITTLE, SLOW, AND ONLY WORK WELL WITH UNIFORM PACKAGES. THE RESEARCH OBJECTIVES INCLUDE: 1) UPGRADING THE ROBOT?S PERCEPTION SYSTEM TO FUSE HIGH-SPEED VISION AND FORCE SENSORY INPUTS, WHICH WILL ENABLE CLOSED-LOOP PICKING WITH GREATER SPEED, MORE ROBUSTNESS, HIGHER SAFETY, AND LESS PACKAGE DAMAGE; 2) UPGRADING THE ROBOT?S VISION SYSTEM TO PERCEIVE OBJECT CATEGORIES BEYOND BOXES; 3) INVESTIGATING A USER INTERFACE TO ALLOW A HUMAN OPERATOR TO MOST-EASILY CORRECT INEVITABLE PERCEPTION SYSTEM ERRORS; AND 4) FIELD TESTING THE ROBOTIC SYSTEM. THE CUMULATIVE RESULT WILL BE A RIGOROUSLY VALIDATED SYSTEM THAT SAFELY (FOR PACKAGES AND USERS) OPERATES AT HIGH SPEED WITH LITTLE MANUAL INTERVENTION. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | ($750k) | 2/21/24 | ||
| Not listed | $999.7k | 9/20/23 |