Jan 22, 2024 · In this paper, we adopt a systems-first approach to develop a new Open Knowledge-based robotics framework called OK-Robot.
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However, the most important insight gained from OK-Robot is the critical role of nuanced details when combining Open Knowledge systems like VLMs with robotic ...
Feb 29, 2024 · The results demonstrate that OK-Robot achieves a 58.5% success rate in open-ended pick-and-drop tasks, representing a new state-of-the-art in ...
What Really Matters in Integrating Open-Knowledge Models for Robotics
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Jan 22, 2024 · OK-Robot achieves a 58.5% success rate in open-ended pick-and-drop tasks, representing a new state-of-the-art in Open Vocabulary Mobile Manipulation (OVMM).
OK-Robot is a zero-shot modular framework that effectively combines the state-of-art navigation and manipulation models to perform pick and place tasks in real ...
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. Peiqi Liu, Yaswanth Orru, Jay Vakil, Chris Paxton, Nur Muhammad Mahi ...
Sep 12, 2024 · Robotic planning and execution for task automation requires an algorithm to find an actionable sequence of discrete steps to achieve a goal ...
Jan 22, 2024 · The paper calls for improvements in model integration, interactive systems, and hardware design to enhance robot autonomy in daily environments.
Feb 21, 2024 · OK-Robot demonstrates the potential of open-knowledge robots by utilizing pre-trained vision and manipulation models. Further research focusing ...