6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN

Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards

Jeffrey Mahler, Florian T Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James Kuffner, and Ken Goldberg · 2016

Earlier work this paper cites.

Health diagnosis based on analysis of data captured by wearable technology devices

Haolun Zhang · 2016

Earlier work this paper cites.

Learning a multi-view stereo machine

Abhishek Kar, Christian Häne, and Jitendra Malik · 2017

Earlier work this paper cites.

Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics

Original

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg · 2017

Earlier work this paper cites.

Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach

Original

Douglas Morrison, Peter Corke, and Jürgen Leitner · 2018

Earlier work this paper cites.

Mvsnet: Depth inference for unstructured multi-view stereo

Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018

Earlier work this paper cites.

6-dof graspnet: Variational grasp generation for object manipulation

Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019

Earlier work this paper cites.

Personalization of end-to-end speech recognition on mobile devices for named entities

Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, et al · 2019

Earlier work this paper cites.

Dex-net mm: Deep grasping for surface decluttering with a low-precision mobile manipulator

Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, and Ken Goldberg · 2019

Cited alongside, same era.

6-dof grasp planning using fast 3d reconstruction and grasp quality cnn

Original

Yahav Avigal, Samuel Paradis, and Harry Zhang · 2020

Cited alongside, same era.

Orienting novel 3d objects using self-supervised learning of rotation transforms

Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna, Harry Zhang, and Ken Goldberg · 2020

Cited alongside, same era.

Dex-net ar: Distributed deep grasp planning using an augmented reality application and a smartphone camera

Jeffrey Ichnowski Harry Zhang, J Ichnowski, Y Avigal, J Gonzales, I Stoica, and K Goldberg · 2020

Cited alongside, same era.

Dex-net ar: Distributed deep grasp planning using a commodity cellphone and augmented reality app

Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, Joseph Gonzales, Ion Stoica, and Ken Goldberg · 2020

Flowbot3d: Learning 3d articulation flow to manipulate articulated objects

Original

Ben Eisner, Harry Zhang, and David Held · 2022

Closest in time.

Art/atk: A research platform for assessing and mitigating the sim-to-real gap in robotics and autonomous vehicle engineering

Original

Asher Elmquist, Aaron Young, Thomas Hansen, Sriram Ashokkumar, Stefan Caldararu, Abhiraj Dashora, Ishaan Mahajan, Harry Zhang, Luning Fang, He Shen, et al · 2022

Closest in time.

Real2sim2real: Self-supervised learning of physical single-step dynamic actions for planar robot casting

Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, and Ken Goldberg · 2022

Closest in time.

Tax-pose: Task-specific cross-pose estimation for robot manipulation

Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, and David Held · 2023

Closest in time.

Apla: Additional perturbation for latent noise with adversarial training enables consistency