Project Grant 2342246
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, supports a research project titled "CAREER: ACTIVE SCENE UNDERSTANDING BY AND FOR ROBOT MANIPULATION" at Stanford University. The $130,000 grant, awarded on October 1, 2023, aims to develop a self-improving robot perception system that leverages manipulation skills for active scene understanding. The key focus is on enabling robots to...
- This Project Grant award for $50,000.00, provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to develop a framework for learning complex, long-horizon tasks from few-shot vision-language demonstrations. The primary objective is to enable robots to learn personalized tasks through natural interactions with users, who can provide visual demonstrations combined with language narration. The research leverages large language models to summarize vision-language...
- This $466,714 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new expressive and differentiable robotics simulators at Stanford University from September 2022 through August 2026. The researchers will establish the mathematical foundations for simulators with learnable components, prototype such simulators, and evaluate their ability to reduce the "sim-to-real gap" where robots perform differently in simulation versus...
- The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund a research collaboration titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: CLOSING THE TELEOPERATION GAP: INTEGRATING SCENE AND NETWORK UNDERSTANDING FOR DEXTEROUS CONTROL OF REMOTE ROBOTS" from February 2021 through January 2024. The grant aims to advance investigator-initiated research and education in...
- 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 $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...
- The National Science Foundation Division of Computer and Network Systems awarded a $337,020 project grant to Stanford University under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on visual tactile neural fields for active digital twin generation. Over a three-year period from October 2022 through September 2025, Stanford researchers will develop new algorithms and computational tools to allow robots to combine visual and tactile sensory data...
- This $473,091 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to advance the design and functionality of robotic hands. The project aims to develop an integrated framework that enables more dexterous and intelligent grasping through the use of variable-stiffness robotic fingers with embedded force, slip, and event-driven vision sensing. Key research activities include: Developing analytical and learning-based models for the...
- 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 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 $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 tool use, assembly, object inspection, and dense packing. The research aims to improve the robustness of robot manipulation in the face of uncertainty about object shape and pose, which is essential for precision robotic manipulation. The project will have potential impacts on advancing domestic services, manufacturing, and logistics through improved robotic capabilities. The award period runs from April 15, 2024 to March 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $50.0k | 4/25/24 |