Výsledky vyhledávání - "Sanchez Robert"

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RECON: Reducing Causal Confusion with Human-Placed Markers

Autor: Sanchez, Robert Ramirez, Nemlekar, Heramb, Sagheb, Shahabedin, Nunez, Cara M., Losey, Dylan P.

Imitation learning enables robots to learn new tasks from human examples. One current fundamental limitation while learning from humans is causal confusion. Causal confusion occurs when the robot's observations include both task-relevant and extraneo

Externí odkaz: http://arxiv.org/abs/2409.13607

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PECAN: Personalizing Robot Behaviors through a Learned Canonical Space

Autor: Nemlekar, Heramb, Sanchez, Robert Ramirez, Losey, Dylan P.

Robots should personalize how they perform tasks to match the needs of individual human users. Today's robot achieve this personalization by asking for the human's feedback in the task space. For example, an autonomous car might show the human two di

Externí odkaz: http://arxiv.org/abs/2407.16081

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Combining and Decoupling Rigid and Soft Grippers to Enhance Robotic Manipulation

Autor: Keely, Maya, Kim, Yeunhee, Mehta, Shaunak A., Hoegerman, Joshua, Sanchez, Robert Ramirez, Paul, Emily, Mills, Camryn, Losey, Dylan P., Bartlett, Michael D.

For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with either soft grippers or rigid end-effectors. However, purely rigid or p

Externí odkaz: http://arxiv.org/abs/2404.13755

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