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pro vyhledávání: '"GEORGE, ABRAHAM"'
As robotic systems become increasingly integrated into complex real-world environments, there is a growing need for approaches that enable robots to understand and act upon natural language instructions without relying on extensive pre-programmed kno
Externí odkaz:
http://arxiv.org/abs/2409.11580
Tactile perception is a critical component of solving real-world manipulation tasks, but tactile sensors for manipulation have barriers to use such as fragility and cost. In this work, we engage a robust, low-cost tactile sensor, BeadSight, as an alt
Externí odkaz:
http://arxiv.org/abs/2406.15639
In robotic manipulation, tactile sensors are indispensable, especially when dealing with soft objects, objects of varying dimensions, or those out of the robot's direct line of sight. Traditional tactile sensors often grapple with challenges related
Externí odkaz:
http://arxiv.org/abs/2405.13204
Tactile information is a critical tool for dexterous manipulation. As humans, we rely heavily on tactile information to understand objects in our environments and how to interact with them. We use touch not only to perform manipulation tasks but also
Externí odkaz:
http://arxiv.org/abs/2403.11898
Autor:
George, Abraham, Farimani, Amir Barati
Learning from human demonstrations (behavior cloning) is a cornerstone of robot learning. However, most behavior cloning algorithms require a large number of demonstrations to learn a task, especially for general tasks that have a large variety of in
Externí odkaz:
http://arxiv.org/abs/2309.10175
With the growing emphasis on the development and integration of service robots within household environments, we will need to endow robots with the ability to reliably pour a variety of liquids. However, liquid handling and pouring is a challenging t
Externí odkaz:
http://arxiv.org/abs/2309.08892
Autor:
Park, Jong Hoon, Dalwankar, Gauri Pramod, Bartsch, Alison, George, Abraham, Farimani, Amir Barati
Accurately determining fluid viscosity is crucial for various industrial and scientific applications. Traditional methods of viscosity measurement, though reliable, often require manual intervention and cannot easily adapt to real-time monitoring. Wi
Externí odkaz:
http://arxiv.org/abs/2308.02715
With the goal of developing fully autonomous cooking robots, developing robust systems that can chop a wide variety of objects is important. Existing approaches focus primarily on the low-level dynamics of the cutting action, which overlooks some of
Externí odkaz:
http://arxiv.org/abs/2307.13159