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Kevin Stone

7 accepted papers

2023

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction

ICML 2023poster

Finding the optimal pass sequence of compilation can lead to a significant reduction in program size. Prior works on compilation pass ordering have two major drawbacks. They either require an excessive budget (in terms of the number of compilation passes) at compile time or fail to generalize to uns…

2023

Masked Trajectory Models for Prediction, Representation, and Control

ICML 2023poster

We introduce Masked Trajectory Models (MTM) as a generic abstraction for sequential decision making. MTM takes a trajectory, such as a state-action sequence, and aims to reconstruct the trajectory conditioned on random subsets of the same trajectory. By training with a highly randomized masking patt…

2022

A Learned Stereo Depth System for Robotic Manipulation in Homes

RA-L 2022

We present a passive stereo depth system that produces dense and accurate point clouds optimized for human environments, including dark, textureless, thin, reflective and specular surfaces and objects, at 2560 × 2048 resolution, with 384 disparities, in 30 ms. The system consists of an algorithm com

Cited by 29SourceScholar
2022

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ICRA 2022poster

This paper studies the complex task of simultaneous multi-object 3D reconstruction, 6D pose and size estimation from a single-view RGB-D observation. In contrast to instance- level pose estimation, we focus on a more challenging problem where CAD models are not available at inference time. Existing…

Cited by 83SourceScholar
2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

CoRL 2021poster

Robot manipulation of unknown objects in unstructured environments is a challenging problem due to the variety of shapes, materials, arrangements and lighting conditions. Even with large-scale real-world data collection, robust perception and manipulation of transparent and reflective objects acros…

Cited by 37SourcecodeScholar
2020

A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes

ICRA 2020poster

We describe a mobile manipulation hardware and software system capable of autonomously performing complex human-level tasks in real homes, after being taught the task with a single demonstration from a person in virtual reality. This is enabled by a highly capable mobile manipulation robot, whole-bo…

Cited by 36SourceScholar
2020

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

ICRA 2020poster

Robotic manipulation of deformable 1D objects such as ropes, cables, and hoses is challenging due to the lack of high-fidelity analytic models and large configuration spaces. Furthermore, learning end-to-end manipulation policies directly from images and physical interaction requires significant tim…

Cited by 149SourceScholar