BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Sweden
1 × Taiwan
Collaborated with:
K.Goldberg R.Fox J.Mahler S.Krishnan J.Lee Caleb Chuck Xinhe Ren D.Wang F.T.Pokorny S.Patil P.Abbeel Carolyn Chen Jacky Liang Pusong Li Ruta Joshi Hankun Zhao Andrew Cui Schuyler A. Cullen Brian Paden David V. Gealy Wesley Yu-Shu Hsieh Anca D. Dragan Z.McCarthy J.P.v.d.Berg D.Kragic Benno Staub Ajay Kumar Tanwani Michel Breyer Yutaka Takaoka Max Bajracharya R.Siegwart S.Sen A.Murali B.Kehoe J.Wang M.Franklin K.Y.Goldberg
Talks about:
learn (6) demonstr (4) robot (4) grasp (3) deep (3) use (3) manipul (2) clean (2) autom (2) task (2)

Person: Michael Laskey

DBLP DBLP: Laskey:Michael

Contributed to:

CASE 20152015
CASE 20142014
CASE 20162016
CASE 20172017
CASE 20182018
CASE 20192019

Wrote 10 papers:

CASE-2015-LaskeyMMPPBKAG #2d #modelling #multi #nondeterminism
Multi-armed bandit models for 2D grasp planning with uncertainty (ML, JM, ZM, FTP, SP, JPvdB, DK, PA, KG), pp. 572–579.
CASE-2014-MahlerKLSMKPWFAG #learning #process #using
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (JM, SK, ML, SS, AM, BK, SP, JW, MF, PA, KYG), pp. 532–539.
CASE-2016-LaskeyLCGHPDG #learning #using
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations (ML, JL, CC, DVG, WYSH, FTP, ADD, KG), pp. 827–834.
CASE-2017-ChenKLFG #algorithm #case study #education #user study
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations (CC, SK, ML, RF, KG), pp. 151–158.
CASE-2017-ChuckLKJFG #automation #learning #statistics
Statistical data cleaning for deep learning of automation tasks from demonstrations (CC, ML, SK, RJ, RF, KG), pp. 1142–1149.
CASE-2017-LiangMLLG #automation #industrial #learning #using
Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot (JL, JM, ML, PL, KG), pp. 1–8.
CASE-2018-LeeLFG #constraints #estimation #learning
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations (JL, ML, RF, KG), pp. 270–277.
CASE-2018-RenWLG #behaviour #learning #online #video
Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams (XR, DW, ML, KG), pp. 1276–1283.
CASE-2018-ZhaoCCPLG #first-order #lightweight #named
FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator (HZ, AC, SAC, BP, ML, KG), pp. 697–704.
CASE-2019-StaubTMBLTBSG #mobile
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator (BS, AKT, JM, MB, ML, YT, MB, RS, KG), pp. 1373–1379.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.