RSS 2019
June 22-26, 2019. Messe Freiburg, Germany
  

2019 Robotics: Science and Systems
June 22-26, 2019, Messe Freiburg, Germany

Program at a Glance    Friday    Saturday    Sunday    Monday    Tuesday    Wednesday    Author Index    Keyword Index    My Program  

Last updated on June 29, 2019. This conference program is tentative and subject to change

Technical Program for Monday June 24, 2019

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MoRE Regular, Add to My Program 
Registration at Messe Freiburg (day 3)  
 
 
MoSA1 Regular, Add to My Program 
Spotlight Talks: Session 1  
 
Chair: Levine, SergeyUC Berkeley
 
09:00-09:04, Paper MoSA1.1 Add to My Program
Value Iteration Networks on Multiple Levels of Abstraction
Schleich, DanielRheinische Friedrich-Wilhelms-Universität Bonn
Klamt, TobiasUniversity of Bonn
Behnke, SvenUniversity of Bonn
 
09:04-09:08, Paper MoSA1.2 Add to My Program
Autonomous Tool Construction Using Part Shape and Attachment Prediction
Nair, Lakshmi VelayudhanGeorgia Institute of Technology
Srikanth, Nithin ShrivatsavGeorgia Institute of Technology
Erickson, ZackoryGeorgia Institute of Technology
Chernova, SoniaGeorgia Institute of Technology
 
09:08-09:12, Paper MoSA1.3 Add to My Program
Learning to Walk Via Deep Reinforcement Learning
Haarnoja, TuomasUniveristy of California, Berkeley
Ha, SehoonGoogle Brain
Zhou, AurickUniversity of California, Berkeley
Tan, JieGoogle
Tucker, GeorgeGoogle Brain
Levine, SergeyUC Berkeley
 
09:12-09:16, Paper MoSA1.4 Add to My Program
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup
Schwab, DevinCarnegie Mellon University
Springenberg, Jost TobiasAlbert-Ludwigs Universitaet Freiburg
Fernandes Martins, MuriloGoogle DeepMind
Lampe, ThomasGoogle UK Ltd
Neunert, MichaelGoogle
Abdolmaleki, AbbasCampus Universitário De Santiago
Hertweck, TimDeepMind
Hafner, RolandGoogle DeepMind
Nori, FrancescoDeepMind
Riedmiller, MartinDeepMind
 
09:16-09:20, Paper MoSA1.5 Add to My Program
LeTS-Drive: Driving among a Crowd by Learning from Tree Search
Cai, PanpanNational University of Singapore
Luo, YuanfuSchool of Computing, National University of Singapore
Saxena, AseemPanasonic Industrial Devices, Singapore
Hsu, DavidNational University of Singapore
Lee, Wee SunNational University of Singapore
 
09:20-09:30, Paper MoSA1.6 Add to My Program
Session 1 Wrap-Up Discussion
Bicchi, AntonioUniversità di Pisa
 
MoSB2 Regular, Add to My Program 
Spotlight Talks: Session 2  
 
Chair: Boedecker, JoschkaUniversity of Freiburg
 
09:30-09:34, Paper MoSB2.1 Add to My Program
Unsupervised Visuomotor Control through Distributional Planning Networks
Yu, TianheStanford University
Shevchuk, GlebStanford University
Sadigh, DorsaStanford University
Finn, ChelseaUC Berkeley
 
09:34-09:38, Paper MoSB2.2 Add to My Program
Learning Robotic Manipulation through Visual Planning and Acting
Wang, AngelinaUniversity of California, Berkeley
Kurutach, ThanardUniversity of California, Berkeley
Liu, KaraUniversity of California, Berkeley
Abbeel, PieterUC Berkeley
Tamar, AvivUC Berkeley
 
09:38-09:42, Paper MoSB2.3 Add to My Program
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Bansal, MayankWaymo
Krizhevsky, AlexGoogle
Ogale, AbhijitGoogle
 
09:42-09:46, Paper MoSB2.4 Add to My Program
Improvisation through Physical Understanding: Using Novel Objects As Tools with Visual Foresight
Xie, AnnieUC Berkeley
Ebert, FrederikUC Berkeley
Levine, SergeyUC Berkeley
Finn, ChelseaUC Berkeley
 
09:46-09:50, Paper MoSB2.5 Add to My Program
End-To-End Robotic Reinforcement Learning without Reward Engineering
Singh, AviUC Berkeley
Yang, LarryUC Berkeley
Hartikainen, KristianUC Berkeley
Finn, ChelseaUC Berkeley
Levine, SergeyUC Berkeley
 
09:50-10:00, Paper MoSB2.6 Add to My Program
Session 2 Wrap-Up Discussion
Bicchi, AntonioUniversità di Pisa
 
MoAM_CB Interactive, Add to My Program 
Refreshment Break MoAM  
 
 
MoSC3 Regular, Add to My Program 
Spotlight Talks: Session 3  
 
Chair: Finn, ChelseaUC Berkeley
 
10:30-10:34, Paper MoSC3.1 Add to My Program
Planning with State Abstractions for Non-Markovian Task Specifications
Oh, YoonseonBrown University
Patel, RomaBrown University
Nguyen, ThaoBrown University
Huang, BaichuanBrown University
Pavlick, EllieBrown University
Tellex, StefanieBrown
 
10:34-10:38, Paper MoSC3.2 Add to My Program
DESPOT-α: Online POMDP Planning with Large State and Observation Spaces
Garg, Neha PriyadarshiniNUS
Hsu, DavidNational University of Singapore
Lee, Wee SunNational University of Singapore
 
10:38-10:42, Paper MoSC3.3 Add to My Program
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions
Xu, ZhenjiaShanghai Jiao Tong University
Wu, JiajunMIT
Zeng, AndyPrinceton University
Tenenbaum, JoshuaMassachusetts Institute of Technology
Song, ShuranPrinceton University
 
10:42-10:46, Paper MoSC3.4 Add to My Program
Local Koopman Operators for Data-Driven Control of Robotic Systems
Mamakoukas, GiorgosNorthwestern University
Castano, MariaMichigan State University
Tan, XiaoboMichigan State University
Murphey, ToddNorthwestern University
 
10:46-10:50, Paper MoSC3.5 Add to My Program
Monte-Carlo Policy Synthesis in POMDPs with Quantitative and Qualitative Objectives
Redwan Newaz, Abdullah AlRice University
Chaudhuri, SwaratRice University
Kavraki, LydiaRice University
 
10:50-11:00, Paper MoSC3.6 Add to My Program
Session 3 Wrap-Up Discussion
Bicchi, AntonioUniversità di Pisa
 
MoK1N Plenary, Add to My Program 
Keynote 1: Alessandro De Luca  
 
Chair: Bicchi, AntonioUniversità Di Pisa
 
MoLB Regular, Add to My Program 
Lunch Break 3  
 
 
MoSD4 Regular, Add to My Program 
Spotlight Talks: Session 4  
 
Chair: Hsu, DavidNational University of Singapore
 
13:30-13:34, Paper MoSD4.1 Add to My Program
Leveraging Experience in Lazy Search
Bhardwaj, MohakGeorgia Institute of Technology
Choudhury, SanjibanUniversity of Washington
Boots, ByronGeorgia Institute of Technology
Srinivasa, SiddharthaUniversity of Washington
 
13:34-13:38, Paper MoSD4.2 Add to My Program
Learning to Plan with Logical Automata
Araki, BrandonMIT
Vodrahalli, KiranColumbia University
Leech, ThomasMassachusetts Institute of Technology
Vasile, Cristian IoanMassachusetts Institute of Technology
Donahue, MarkMIT Lincoln Laboratory
Rus, DanielaMIT
 
13:38-13:42, Paper MoSD4.3 Add to My Program
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators
Ramos, FabioUniversity of Sydney, NVIDIA
Possas, RafaelUniversity of Sydney
Fox, DieterUniversity of Washington
 
13:42-13:46, Paper MoSD4.4 Add to My Program
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration
Pragr, MilosCzech Technical University in Prague, FEE
Cizek, PetrCzech Technical University in Prague, Faculty of Electrical Engi
Bayer, JanCTU
Faigl, JanCzech Technical University in Prague
 
13:46-13:50, Paper MoSD4.5 Add to My Program
Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning
Siva, SriramColorado School of Mines
Wigness, MaggieU.S. Army Research Laboratory
Rogers III, John G.US Army Research Laboratory
Zhang, HaoColorado School of Mines
 
13:50-14:00, Paper MoSD4.6 Add to My Program
Session 4 Wrap-Up Discussion
Bicchi, AntonioUniversità di Pisa
 
MoSE5 Regular, Add to My Program 
Spotlight Talks: Session 5  
 
Chair: Nanayakkara, ThrishanthaImperial College London
Co-Chair: Ramos, FabioUniversity of Sydney, NVIDIA
 
14:00-14:04, Paper MoSE5.1 Add to My Program
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Palan, MalayandiStanford University
Shevchuk, GlebStanford University
Landolfi, Nicholas CharlesStanford University
Sadigh, DorsaStanford University
 
14:04-14:08, Paper MoSE5.2 Add to My Program
Teleoperator Imitation with Continuous-Time Safety
El Khadir, BachirPrinceton University
Varley, JacobColumbia University
Sindhwani, VikasGoogle Brain, NYC
 
14:08-14:12, Paper MoSE5.3 Add to My Program
Conditional Neural Movement Primitives
Seker, Muhammet YunusBogazici University
Imre, MertBogazici University
Piater, JustusUniversity of Innsbruck
Ugur, EmreBogazici University
 
14:12-14:16, Paper MoSE5.4 Add to My Program
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration
Burke, MichaelUniversity of Edinburgh
Penkov, Svetlin ValentinovThe University of Edinburgh
Ramamoorthy, SubramanianThe University of Edinburgh
 
14:16-14:20, Paper MoSE5.5 Add to My Program
Harnessing Reinforcement Learning for Neural Motion Planning
Jurgenson, TomTechnion
Tamar, AvivUC Berkeley
 
14:20-14:30, Paper MoSE5.6 Add to My Program
Session 5 Wrap-Up Discussion
Bicchi, AntonioUniversità di Pisa
 
MoPM_CB Regular, Add to My Program 
Refreshment Break MoPM  
 
 
MoECS Plenary, Add to My Program 
Early Career 1: Angela Schöllig  
 
Chair: Bennewitz, MarenUniversity of Bonn
 
MoPO Interactive, Add to My Program 
Poster Session 1  
 
 
MoBSP Regular, Add to My Program 
Best System Paper Award Nominees  
 
Chair: Kress-Gazit, HadasCornell University
 
17:00-17:06, Paper MoBSP.1 Add to My Program
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
Chinchali, SandeepStanford
Sharma, ApoorvaStanford University
Harrison, JamesStanford University
Elhafsi, AmineStanford University
Kang, DanielStanford University
Pergament, EvgenyaStanford University
Cidon, EyalStanford University
Katti, SachinStanford University
Pavone, MarcoStanford University
 
17:06-17:12, Paper MoBSP.2 Add to My Program
Learning to Throw Arbitrary Objects with Residual Physics
Zeng, AndyPrinceton University
Song, ShuranPrinceton University
Lee, JohnnyGoogle
Rodriguez, AlbertoMassachusetts Institute of Technology
Funkhouser, Thomas A.Princeton University
 
17:12-17:18, Paper MoBSP.3 Add to My Program
Differentiable Algorithm Networks for Composable Robot Learning
Karkus, PeterNational University of Singapore
Ma, XiaoNational University of Singapore
Hsu, DavidNational University of Singapore
Kaelbling, LeslieMIT
Lee, Wee SunNational University of Singapore
Lozano-Perez, TomasMIT
 
17:18-17:24, Paper MoBSP.4 Add to My Program
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control
Bruder, DanielUniversity of Michigan
Gillespie, BrentUniversity of Michigan
Remy, C. DavidUniversity of Michigan
Vasudevan, RamUniversity of Michigan
 
17:24-17:30, Paper MoBSP.5 Add to My Program
An Online Learning Approach to Model Predictive Control
Wagener, NolanGeorgia Tech
Cheng, Ching-anGeorgia Institute of Technology
Sacks, JacobThe Georgia Institute of Technology
Boots, ByronGeorgia Institute of Technology
 
MoBPP Regular, Add to My Program 
Best Paper Award Nominees  
 
Chair: Roy, NicholasMassachusetts Institute of Technology
 
17:30-17:36, Paper MoBPP.1 Add to My Program
Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution
Moura, JoaoHeriot-Watt University
Ivan, VladimirUniversity of Edinburgh
Erden, Mustafa SuphiHeriot-Watt University
Vijayakumar, SethuUniversity of Edinburgh
 
17:36-17:42, Paper MoBPP.2 Add to My Program
Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots
Mota, TiagoUniversity of Auckland
Sridharan, MohanUniversity of Birmingham
 
17:42-17:48, Paper MoBPP.3 Add to My Program
Robot Packing with Known Items and Nondeterministic Arrival Order
Wang, FanDuke University
Hauser, KrisDuke University
 
17:48-17:54, Paper MoBPP.4 Add to My Program
A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer
Ren, ZiyuMax Planck Institute for Intelligent Systems
Wang, TianluETH Zurich
Hu, WenqiMax Planck Institute for Intelligent Systems
Sitti, MetinMax-Planck Institute for Intelligent Systems
 
17:54-18:00, Paper MoBPP.5 Add to My Program
Idiothetic Verticality Estimation through Head Stabilization Strategy
Farkhatdinov, IldarQueen Mary University of London
Michalska, HannahMcGill
Berthoz, AlainCNRS - Collège De France
Hayward, VincentUniversité Pierre Et Marie Curie
 
MoIR Interactive, Add to My Program 
Industry Reception at Messe Freiburg  
 

 
 

 
 

 

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