Search Results for author: Kenneth Shaw

Found 6 papers, 1 papers with code

Adaptive Mobile Manipulation for Articulated Objects In the Open World

no code implementations25 Jan 2024 Haoyu Xiong, Russell Mendonca, Kenneth Shaw, Deepak Pathak

We also develop a low-cost mobile manipulation hardware platform capable of safe and autonomous online adaptation in unstructured environments with a cost of around 20, 000 USD.

Dexterous Functional Grasping

no code implementations5 Dec 2023 Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak

However, this task requires both a complex understanding of functional affordances as well as precise low-level control.

DEFT: Dexterous Fine-Tuning for Real-World Hand Policies

1 code implementation30 Oct 2023 Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak

In this paper, we investigate these challenges, especially in the case of soft, deformable objects as well as complex, relatively long-horizon tasks.

LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

no code implementations12 Sep 2023 Kenneth Shaw, Ananye Agarwal, Deepak Pathak

We show that LEAP Hand can be used to perform several manipulation tasks in the real world -- from visual teleoperation to learning from passive video data and sim2real.

VideoDex: Learning Dexterity from Internet Videos

no code implementations8 Dec 2022 Kenneth Shaw, Shikhar Bahl, Deepak Pathak

We build a learning algorithm, VideoDex, that leverages visual, action, and physical priors from human video datasets to guide robot behavior.

Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

no code implementations21 Feb 2022 Aravind Sivakumar, Kenneth Shaw, Deepak Pathak

Human hands and robot hands differ in shape, size, and joint structure, and performing this translation from a single uncalibrated camera is a highly underconstrained problem.

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