BibSLEIGH — Ken

Travelled to:

1 × Canada
1 × China
1 × Korea
1 × Sweden
5 × USA

Collaborated with:

J.Mahler M.Laskey S.Krishnan Stavros Vougioukas S.Carpin R.Fox J.Schiff Michael Danielczuk A.F.v.d.Stappen M.J.Franklin A.Garg Ron Berenstein D.Song E.Bitton O.C.Goemans M.T.Zhang Christopher Correa Thomas C. Thayer R.Kapadia Pusong Li S.McKinley D.Berenson N.Qin F.T.Pokorny Danyal Fer V.Duindam R.Alterovitz J.Lee Xinhe Ren Lauren Miller Joshua Viers J.Wang T.Kraska David V. Gealy D.Wang Menglong Guo S.Sen B.Kehoe Matthew Matl S.Patil P.Abbeel Carolyn Chen Caleb Chuck Ajay Kumar Tanwani Juan Aparicio Ojea Yiming Jen J.Patel T.Siauw J.A.M.Cunha I.Hsu J.Pouliot F.Panahi A.Adler J.Xu M.T.Anderson A.Levandowski Q.Hu Sam Staszak Lisa Jian I.Stoica Tzvika Geft A.Tamar D.Halperin David Tseng Jacky Liang Averell Wallach Pelagie Elimbi Moudio Peter Cuellar Jessica J. Ji Vatsal Patel Priya Sundaresan Brijen Thananjeyan Johnathan Chiu T.Milo Y.Xu C.Kim D.Luneau M.Fogel N.Burkhart H.Ren M.Q.Meng Brian Hou Sherdil Niyaz Ramu Chandra Ruta Joshi Bill DeRose Hankun Zhao Andrew Cui Schuyler A. Cullen Brian Paden Zisu Dong Sona Dolasia Ashwin Balakrishna M.Zhou A.Cliff B.Nonnecke C.Crittenden K.Uchino A.P.Kulkarni D.Bazo Marius Wiggert Leela Amladi D.Stoianovici Wesley Yu-Shu Hsieh Anca D. Dragan Nan Tian Benjamin Kuo Michael Yu Robert Zhang Bill Huang Somayeh Sojoudi Z.McCarthy J.P.v.d.Berg D.Kragic Jonathan P. McKinley Walter Doug Boyd Benno Staub Michel Breyer Yutaka Takaoka Max Bajracharya R.Siegwart Yiding Jiang Jeffrey Ichnowski David Wai-Lok Wang William Song A.Murali K.A.Nichols S.Lim A.M.Okamura

Talks about:

robot (18) autom (14) learn (11) grasp (10) algorithm (8) use (8) system (6) plan (6) demonstr (5) robust (4)

Person: Ken Goldberg

DBLP: Goldberg:Ken

Contributed to:

2015

2014

2013

2012

2008

2007

2006

2005

2016

2017

2018

2019

Wrote 49 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-2015-McKinleyGSKMNLP #single use: A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery (SM, AG, SS, RK, AM, KAN, SL, SP, PA, AMO, KG), pp. 1151–1158.
SIGITE-2015-ZhouCKNCUG #collaboration #feedback #scalability #student #using: M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering (MZ, AC, SK, BN, CC, KU, KG), pp. 153–158.
VLDB-2015-KrishnanWFGK: Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views (SK, JW, MJF, KG, TK), pp. 1370–1381.
RecSys-2014-KrishnanPFG #bias #learning #recommendation #social: A methodology for learning, analyzing, and mitigating social influence bias in recommender systems (SK, JP, MJF, KG), pp. 137–144.
SIGMOD-2014-WangKFGKM #framework #performance #query: A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
CASE-2013-GargPSCHAPG #3d #algorithm: An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery (AG, SP, TS, JAMC, ICH, PA, JP, KG), pp. 466–473.
CASE-2013-PanahiASG #algorithm #performance #proximity: An efficient proximity probing algorithm for metrology (FP, AA, AFvdS, KG), pp. 342–349.
CASE-2012-GargSBCHPSG #automation #towards: Initial experiments toward automated robotic implantation of skew-line needle arrangements for HDR brachytherapy (AG, TS, DB, JAMC, ICH, JP, DS, KG), pp. 26–33.
CASE-2012-KehoeBG #adaptation #bound: Estimating part tolerance bounds based on adaptive Cloud-based grasp planning with slip (BK, DB, KG), pp. 1106–1113.
CASE-2008-BittonG #algorithm #framework #named: Hydra: A framework and algorithms for mixed-initiative UAV-assisted search and rescue (EB, KG), pp. 61–66.
CASE-2008-SchiffKBDASG #mobile #navigation #network: Actuator networks for navigating an unmonitored mobile robot (JS, APK, DB, VD, RA, DS, KG), pp. 53–60.
CASE-2008-SongQXKLG #algorithm: System and algorithms for an autonomous observatory assisting the search for the Ivory-Billed Woodpecker (DS, NQ, YX, CYK, DL, KG), pp. 200–205.
CASE-2008-XuDAG #3d #random #using: Motion planning for steerable needles in 3D environments with obstacles using rapidly-exploring Random Trees and backchaining (JX, VD, RA, KG), pp. 41–46.
CASE-2007-FogelBRSMG #automation #layout #modelling #symmetry: Automated Tracking of Pallets in Warehouses: Beacon Layout and Asymmetric Ultrasound Observation Models (MF, NB, HR, JS, MQM, KG), pp. 678–685.
CASE-2007-GoemansAGS #algorithm #automation #composition #design #industrial #physics: Automated Feeding of Industrial Parts with Modular Blades: Design Software, Physical Experiments, and an Improved Algorithm (OCG, MTA, KG, AFvdS), pp. 318–325.
CASE-2007-ZhangG #approach: Calibration of Wafer Handling Robots: A Fixturing Approach (MTZ, KG), pp. 255–260.
CASE-2006-SchiffG #automation #network #using: Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
CASE-2005-GoemansLGS #design #on the: On the design of guillotine traps for vibratory bowl feeders (OCG, AL, KG, AFvdS), pp. 79–86.
CASE-2005-SongHQG #automation #documentation #using: Automating inspection and documentation of remote building construction using a robotic camera (DS, QH, NQ, KG), pp. 172–177.
CASE-2016-GargSKJMMG #adaptation #automation #locality #process #using: Tumor localization using automated palpation with Gaussian Process Adaptive Sampling (AG, SS, RK, YJ, SM, LM, KG), pp. 194–200.
CASE-2016-GealyMGMVVCG #automation #named #precise: DATE: A handheld co-robotic device for automated tuning of emitters to enable precision irrigation (DVG, SM, MG, LM, SV, JV, SC, KG), pp. 922–927.
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-2016-MahlerHNPCG #in the cloud #privacy: Privacy-preserving Grasp Planning in the Cloud (JM, BH, SN, FTP, RC, KG), pp. 468–475.
CASE-2016-McKinleyGSGMJGB #automation #multi: An interchangeable surgical instrument system with application to supervised automation of multilateral tumor resection (SM, AG, SS, DVG, JPM, YJ, MG, WDB, KG), pp. 821–826.
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-KapadiaSJG #learning #named: EchoBot: Facilitating data collection for robot learning with the Amazon echo (RK, SS, LJ, KG), pp. 159–165.
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-2017-MatlMG #3d #algorithm: An algorithm for transferring parallel-jaw grasps between 3D mesh subsegments (MM, JM, KG), pp. 756–763.
CASE-2018-BerensteinWMCG #composition #mobile: An Open-Access Passive Modular Tool Changing System for Mobile Manipulation Robots (RB, AW, PEM, PC, KG), pp. 592–598.
CASE-2018-DanielczukMCG #linear #policy: Linear Push Policies to Increase Grasp Access for Robot Bin Picking (MD, JM, CC, KG), pp. 1249–1256.
CASE-2018-JiKPFG #2d #learning: Learning 2D Surgical Camera Motion From Demonstrations (JJJ, SK, VP, DF, KG), pp. 35–42.
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-LiDMOTG #as a service #robust: Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System (PL, BD, JM, JAO, AKT, KG), pp. 1420–1427.
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-ThayerVGC #algorithm #multi: Multi-Robot Routing Algorithms for Robots Operating in Vineyards (TCT, SV, KG, SC), pp. 14–21.
CASE-2018-TianKRYZHGS #robust #social: A Cloud-Based Robust Semaphore Mirroring System for Social Robots (NT, BK, XR, MY, RZ, BH, KG, SS), pp. 1351–1358.
CASE-2018-TsengWCMSVVCOG #automation #image #learning #precise #towards: Towards Automating Precision Irrigation: Deep Learning to Infer Local Soil Moisture Conditions from Synthetic Aerial Agricultural Images (DT, DWLW, CC, LM, WS, JV, SV, SC, JAO, KG), pp. 284–291.
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-CorreaMDG #robust: Robust Toppling for Vacuum Suction Grasping (CC, JM, MD, KG), pp. 1421–1428.
CASE-2019-DongKDBDG #automation #linear #multi: Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts (ZD, SK, SD, AB, MD, KG), pp. 1429–1436.
CASE-2019-FoxBSG #automation #learning #multi: Multi-Task Hierarchical Imitation Learning for Home Automation (RF, RB, IS, KG), pp. 1–8.
CASE-2019-GeftTGH #2d #assembly #geometry #robust: Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores (TG, AT, KG, DH), pp. 1603–1610.
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.
CASE-2019-SundaresanTCFG #automation: Automated Extraction of Surgical Needles from Tissue Phantoms (PS, BT, JC, DF, KG), pp. 170–177.
CASE-2019-ThayerVGC: Bi-Objective Routing for Robotic Irrigation and Sampling in Vineyards (TCT, SV, KG, SC), pp. 1481–1488.
CASE-2019-WangTLJGDMIG: Adversarial Grasp Objects (DW, DT, PL, YJ, MG, MD, JM, JI, KG), pp. 241–248.
CASE-2019-WiggertABCVVG #low cost #named #open source #precise: RAPID-MOLT: A Meso-scale, Open-source, Low-cost Testbed for Robot Assisted Precision Irrigation and Delivery (MW, LA, RB, SC, JV, SV, KG), pp. 1489–1496.