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ORCID15th Robotics: Science and Systems 2019: Freiburg im Breisgau, Germany
- Antonio Bicchi, Hadas Kress-Gazit, Seth Hutchinson:
Robotics: Science and Systems XV, University of Freiburg, Freiburg im Breisgau, Germany, June 22-26, 2019. 2019, ISBN 978-0-9923747-5-4 - Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn:
Improvisation through Physical Understanding: Using Novel Objects As Tools with Visual Foresight. - Si Wei Feng, Shuai D. Han, Jingjin Yu:
Efficient Algorithms for Optimal Perimeter Guarding. - Heng Yang, Luca Carlone:
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates. - Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics. - Guohao Li
, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem:
OIL: Observational Imitation Learning. - Neha Priyadarshini Garg, David Hsu, Wee Sun Lee:
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. - Xiaoguang Dong, Metin Sitti:
Collective Formation and Cooperative Function of a Magnetic Microrobotic Swarm. - Alexander Broad, Todd D. Murphey, Brenna Argall:
Highly Parallelized Data-Driven MPC for Minimal Intervention Shared Control. - Lakshmi Nair, Nithin Shrivatsav Srikanth, Zackory Erickson, Sonia Chernova:
Autonomous Tool Construction Using Part Shape and Attachment Prediction. - Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. - Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine:
Learning to Walk Via Deep Reinforcement Learning. - Benoit Landry, Zachary Manchester, Marco Pavone:
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. - Ziyu Ren, Tianlu Wang, Wenqi Hu, Metin Sitti:
A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer. - Daniel Schleich, Tobias Klamt, Sven Behnke:
Value Iteration Networks on Multiple Levels of Abstraction. - Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. - Jaesung Choe, Kyungdon Joo, François Rameau, Gyumin Shim, In So Kweon:
Segment2Regress: Monocular 3D Vehicle Localization in Two Stages. - Reinhard Grassmann, Jessica Burgner-Kahrs:
On the Merits of Joint Space and Orientation Representations in Learning the Forward Kinematics in SE(3). - Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. - Karen Bodie, Maximilian Brunner, Michael Pantic, Stefan Walser, Patrick Pfändler, Ueli Angst, Roland Siegwart, Juan I. Nieto:
An Omnidirectional Aerial Manipulation Platform for Contact-Based Inspection. - Tianhe Yu, Gleb Shevchuk, Dorsa Sadigh, Chelsea Finn:
Unsupervised Visuomotor Control through Distributional Planning Networks. - Walid Amanhoud, Mahdi Khoramshahi, Aude Billard:
A Dynamical System Approach to Motion and Force Generation in Contact Tasks. - Mathew Halm, Michael Posa:
Modeling and Analysis of Non-Unique Behaviors in Multiple Frictional Impacts. - Malayandi Palan, Gleb Shevchuk, Nicholas Charles Landolfi, Dorsa Sadigh:
Learning Reward Functions by Integrating Human Demonstrations and Preferences. - Gokarna Sharma, Pavan Poudel, Ayan Dutta, Vala Zeinali, Tala Talaei Khoei, Jong-Hoon Kim:
A 2-Approximation Algorithm for the Online Tethered Coverage Problem. - Tom Jurgenson, Aviv Tamar:
Harnessing Reinforcement Learning for Neural Motion Planning. - Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins, Michael Neunert, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller:
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup. - Sam Kriegman, Stephanie Walker, Dylan S. Shah, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Automated Shapeshifting for Function Recovery in Damaged Robots. - Fabio Ramos, Rafael Possas, Dieter Fox:
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators. - Sriram Siva, Maggie B. Wigness, John G. Rogers:
Hao Zhang: Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning. - Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale:
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. - Yuquan Wang, Abderrahmane Kheddar:
Impact-Friendly Robust Control Design with Task-Space Quadratic Optimization. - Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. - Nitish Thatte, Nandagopal Srinivasan, Hartmut Geyer:
Real-Time Reactive Trip Avoidance for Powered Transfemoral Prostheses. - Fan Wang, Kris Hauser:
Robot Packing with Known Items and Nondeterministic Arrival Order. - João Moura, Vladimir Ivan, Mustafa Suphi Erden, Sethu Vijayakumar:
Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution. - Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster:
Robust Singular Smoothers for Tracking Using Low-Fidelity Data. - Bachir El Khadir, Jacob Varley, Vikas Sindhwani:
Teleoperator Imitation with Continuous-Time Safety. - Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. - Milos Prágr, Petr Cizek, Jan Bayer, Jan Faigl:
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration. - David McNeill, Casey Kennington:
Predicting Human Interpretations of Affect and Valence in a Social Robot. - Arun Lakshmanan, Andrew Patterson, Venanzio Cichella, Naira Hovakimyan:
Proximity Queries for Absolutely Continuous Parametric Curves. - José-Luis Blanco-Claraco:
A Modular Optimization Framework for Localization and Mapping. - Maani Ghaffari Jadidi, William A. Clark, Anthony M. Bloch, Ryan Eustice, Jessy W. Grizzle:
Continuous Direct Sparse Visual Odometry from RGB-D Images. - Alessandro Zanardi, Andreas Aumiller, Julian G. Zilly, Andrea Censi, Emilio Frazzoli:
Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. - Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions. - Joseph Campbell, Simon Stepputtis, Heni Ben Amor:
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. - Mingyu Wang, Zijian Wang, John Talbot, J. Christian Gerdes, Mac Schwager:
Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios. - Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation. - Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. - Sean Vaskov, Shreyas Kousik, Hannah Larson, Fan Bu, James Robert Ward, Stewart Worrall, Matthew Johnson-Roberson, Ram Vasudevan:
Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. - James M. Bern, Pol Banzet, Roi Poranne, Stelian Coros:
Trajectory Optimization for Cable-Driven Soft Robot Locomotion. - Ankit Bhatia, Aaron M. Johnson, Matthew T. Mason:
Direct Drive Hands: Force-Motion Transparency in Gripper Design. - Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, Todd D. Murphey:
Local Koopman Operators for Data-Driven Control of Robotic Systems. - Fereshteh Sadeghi:
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching. - Ashkan M. Jasour, Brian C. Williams:
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties. - Mengyu Fu, Alan Kuntz, Oren Salzman, Ron Alterovitz:
Toward Asymptotically-Optimal Inspection Planning Via Efficient Near-Optimal Graph Search. - Peter Zhi Xuan Li, Zhengdong Zhang, Sertac Karaman, Vivienne Sze:
High-Throughput Computation of Shannon Mutual Information on Chip. - Yoonseon Oh, Roma Patel, Thao Nguyen, Baichuan Huang, Ellie Pavlick, Stefanie Tellex:
Planning with State Abstractions for Non-Markovian Task Specifications. - Daniel Bruder, Brent Gillespie, C. David Remy, Ram Vasudevan:
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control. - Wennie Tabib, Kshitij Goel, John W. Yao, Mosam Dabhi, Curtis Boirum, Nathan Michael:
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps. - Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering. - Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. - Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus:
Learning to Plan with Logical Automata. - Alexander Spitzer, Nathan Michael:
Inverting Learned Dynamics Models for Aggressive Multirotor Control. - Kiril Solovey, Mauro Salazar, Marco Pavone:
Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization. - Baxi Chong, Yasemin Ozkan Aydin, Guillaume Sartoretti, Jennifer M. Rieser, Chaohui Gong, Haosen Xing, Howie Choset, Daniel I. Goldman:
A Hierarchical Geometric Framework to Design Locomotive Gaits for Highly Articulated Robots. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments. - Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. - Ziyi Wang, Marcus Pereira, Evangelos A. Theodorou:
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs. - Muhammet Yunus Seker, Mert Imre, Justus H. Piater, Emre Ugur:
Conditional Neural Movement Primitives. - Weizhe Chen, Lantao Liu:
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. - Avi Singh, Larry Yang, Chelsea Finn, Sergey Levine:
End-To-End Robotic Reinforcement Learning without Reward Engineering. - Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. - Minae Kwon, Mengxi Li, Alexandre Bucquet, Dorsa Sadigh:
Influencing Leading and Following in Human-Robot Teams. - Seyedmohammadhadi Sadati, Ali Shiva, Seyedeh Elnaz Naghibi, D. Caleb Rucker, Ludovic Renson, Christos Bergeles, Kaspar Althoefer, D. P. Thrishantha Nanayakkara, Helmut Hauser, Ian D. Walker:
Reduced Order vs. Discretized Lumped System Models with Absolute and Relative States for Continuum Manipulators. - Tiago Mota, Mohan Sridharan:
Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots. - Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. - Jaskaran Singh Grover, Daniel Vedova, Nalini Jain, Matthew J. Travers, Howie Choset:
Motion Planning, Design Optimization and Fabrication of Ferromagnetic Swimmers. - Przemyslaw A. Lasota, Julie A. Shah:
Bayesian Estimator for Partial Trajectory Alignment. - Matteo Rubagotti, Tasbolat Taunyazov, Bukeikhan Omarali, Almas Shintemirov:
Semi-Autonomous Robot Teleoperation with Obstacle Avoidance Via Model Predictive Control. - Barza Nisar, Philipp Foehn, Davide Falanga, Davide Scaramuzza:
VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation. - Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer:
Approximate Bayesian Inference in Spatial Environments. - Irvin Aloise, Bartolomeo Della Corte, Federico Nardi, Giorgio Grisetti:
Systematic Handling of Heterogeneous Geometric Primitives in Graph-SLAM Optimization. - Ildar Farkhatdinov, Hannah Michalska, Alain Berthoz, Vincent Hayward:
Idiothetic Verticality Estimation through Head Stabilization Strategy.
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