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Michael Laskey
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2020 – today
- 2022
- [c29]Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg:
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting. ICRA 2022: 8282-8289 - [c28]Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira:
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. ICRA 2022: 10632-10640 - [c27]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR 2022: 36-51 - [c26]Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Autonomously Untangling Long Cables. Robotics: Science and Systems 2022 - [i18]Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira:
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR abs/2203.01929 (2022) - [i17]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR abs/2206.08921 (2022) - [i16]Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Autonomously Untangling Long Cables. CoRR abs/2207.07813 (2022) - 2021
- [j1]Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg:
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. Int. J. Robotics Res. 40(10-11) (2021) - [c25]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRL 2021: 938-948 - [c24]Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Disentangling Dense Multi-Cable Knots. IROS 2021: 3731-3738 - [c23]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg:
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems 2021 - [i15]Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Disentangling Dense Multi-Cable Knots. CoRR abs/2106.02252 (2021) - [i14]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRR abs/2106.16118 (2021) - [i13]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. CoRR abs/2107.08942 (2021) - [i12]Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg:
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. CoRR abs/2111.04814 (2021) - 2020
- [c22]Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg:
Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRL 2020: 782-800 - [c21]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg:
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. ICRA 2020: 9411-9418 - [c20]Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. ICRA 2020: 11039-11045 - [i11]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg:
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. CoRR abs/2003.01835 (2020) - [i10]Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRR abs/2011.04999 (2020)
2010 – 2019
- 2019
- [c19]Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg:
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE 2019: 1373-1379 - [c18]Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg:
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR 2019: 275-290 - [i9]Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. CoRR abs/1910.00127 (2019) - 2018
- [c17]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg:
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. CASE 2018: 270-277 - [c16]Hankun Zhao, Andrew Cui, Schuyler A. Cullen, Brian Paden, Michael Laskey, Ken Goldberg:
FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator. CASE 2018: 697-704 - [c15]Xinhe Ren, David Wang, Michael Laskey, Ken Goldberg:
Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams. CASE 2018: 1276-1283 - [c14]Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon:
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR 2018: 196-211 - [c13]Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg:
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. WAFR 2018: 212-227 - [i8]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg:
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints. CoRR abs/1801.10321 (2018) - [i7]Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg:
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR abs/1809.09810 (2018) - [i6]Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg:
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. CoRR abs/1811.02184 (2018) - [i5]Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon:
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR abs/1811.07489 (2018) - 2017
- [c12]Jacky Liang, Jeffrey Mahler, Michael Laskey, Pusong Li, Ken Goldberg:
Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot. CASE 2017: 1-8 - [c11]Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg:
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations. CASE 2017: 151-158 - [c10]Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg:
Statistical data cleaning for deep learning of automation tasks from demonstrations. CASE 2017: 1142-1149 - [c9]Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg:
DART: Noise Injection for Robust Imitation Learning. CoRL 2017: 143-156 - [c8]Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg:
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA 2017: 358-365 - [c7]Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg:
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. Robotics: Science and Systems 2017 - [i4]Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg:
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. CoRR abs/1703.09312 (2017) - [i3]Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg:
Iterative Noise Injection for Scalable Imitation Learning. CoRR abs/1703.09327 (2017) - [i2]Michael Laskey, Chris Powers, Ruta Joshi, Arshan Poursohi, Ken Goldberg:
Learning Robust Bed Making using Deep Imitation Learning with DART. CoRR abs/1711.02525 (2017) - 2016
- [c6]Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg:
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations. CASE 2016: 827-834 - [c5]Michael Laskey, Sam Staszak, Wesley Yu-Shu Hsieh, Jeffrey Mahler, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg:
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. ICRA 2016: 462-469 - [c4]Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg:
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA 2016: 1957-1964 - [i1]Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Kenneth Y. Goldberg:
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR abs/1610.00850 (2016) - 2015
- [c3]Michael Laskey, Jeffrey Mahler, Zoe McCarthy, Florian T. Pokorny, Sachin Patil, Jur P. van den Berg, Danica Kragic, Pieter Abbeel, Ken Goldberg:
Multi-armed bandit models for 2D grasp planning with uncertainty. CASE 2015: 572-579 - 2014
- [c2]Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg:
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE 2014: 532-539 - [c1]Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel:
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation. WAFR 2014: 515-533
Coauthor Index
aka: Ken Goldberg
aka: Joseph E. Gonzalez
aka: Jonathan N. Lee
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