RSS

Agile Autonomous Driving using End-to-End Deep Imitation Learning

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos Theodorou, Byron Boots

Comments 13 pages, Robotics: Science and Systems (RSS) 2018

Automated shapeshifting for function recovery in damaged robots

Sam Kriegman, Stephanie Walker, Dylan Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh Bongard

Journal ref Proceedings of Robotics: Science and Systems (2019)

Robust and fast generation of top and side grasps for unknown objects

Brice Denoun, Beatriz Leon, Claudio Zito, Rustam Stolkin, Lorenzo Jamone, Miles Hansard

Comments Extended abstract

Journal ref Workshop on Task-Informed Grasping (TIG-II): From Perception to Physical Interaction, Robotics: Science and Systems (RSS), 2019

2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes

Claudio Zito, Tomasz Deregowski, Rustam Stolkin

Journal ref In Proc. of the Workshop on Task-Informed Grasping (TIG-II): From Perception to Physical Interaction, Robotics: Science and Systems (RSS), 2019

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization

Benoit Landry, Zachary Manchester, Marco Pavone

Comments Robotics: Science and Systems, Freiburg im Breisgau, Germany, 2019

Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search

Mengyu Fu, Alan Kuntz, Oren Salzman, Ron Alterovitz

Comments RSS 2019

Value Iteration Networks on Multiple Levels of Abstraction

Daniel Schleich, Tobias Klamt, Sven Behnke

Journal ref Proceedings of Robotics: Science and Systems (RSS), Freiburg, Germany, June 2019

A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates

Heng Yang, Luca Carlone

Comments 18 pages, Accepted for publication in Robotics: Science and Systems, 2019

Journal ref Robotics: Science and Systems, 2019

Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control

Daniel Bruder, Brent Gillespie, C. David Remy, Ram Vasudevan

Journal ref 2019 Robotics: Science and Systems

Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation

Yoojin Oh, Marc Toussaint, Jim Mainprice

Journal ref Workshop on AI and Its Alternatives in Assistive and Collaborative Robotics (RSS 2019), Robotics: Science and Systems Freiburg, Germany

Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization

Philipp Kratzer, Marc Toussaint, Jim Mainprice

Journal ref Workshop on AI and Its Alternatives in Assistive and Collaborative Robotics (RSS 2019), Robotics: Science and Systems Freiburg, Germany

Generative grasp synthesis from demonstration using parametric mixtures

Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Kopicki, Jeremy L. Wyatt

Comments Accepted for publication in the Robotics: Science and Systems (RSS) workshop on Task-Informed Grasping (TIG-II), 2019

OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator

Jose Luis Blanco-Claraco

Comments Supplementary material to conference paper at "Robotics: Science and Systems" (RSS 2019)

Keep soft robots soft -- a data-driven based trade-off between feed-forward and feedback control

Thomas Beckers, Sandra Hirche

Comments Presented at the workshop on "Robust autonomy: tools for safety in real-world uncertain environments" (RSS 2019)

Learning Reward Functions by Integrating Human Demonstrations and Preferences

Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh

Comments Presented at RSS 2019

Proximity Queries for Absolutely Continuous Parametric Curves

Arun Lakshmanan, Andrew Patterson, Venanzio Cichella, Naira Hovakimyan

Comments Proceedings of Robotics: Science and Systems

Approximate Bayesian inference in spatial environments

Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer

Comments Preprint of publication at RSS 2019

ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle

Kshitij Tiwari, Xuesu Xiao, Ville Kyrki, Nak Young Chong

Comments Accepted by RSS 2019 Workshop Robots in the Wild: Challenges in Deploying Robust Autonomy for Robotic Exploration

Learning to Walk via Deep Reinforcement Learning

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

Comments RSS 2019, https://sites.google.com/view/minitaur-locomotion/

Heterogeneous Robot Teams for Informative Sampling

Travis Manderson, Sandeep Manjanna, Gregory Dudek

Comments 6 pages, 6 figures, 2019 Workshop on Informative Path Planning and Adaptive Sampling at Robotics Science and Systems

Embracing Contact: Pushing Multiple Objects with Robot's Forearm

Akansel Cosgun, Luke Ditria, Shayne D'Lima, Tom Drummond

Comments Presented in Workshop for Task-Informed Grasping: From Perception to Physical Interaction at RSS 2019

Usability Squared: Principles for doing good systems research in robotics

Soham Sankaran, Ross A. Knepper

Comments To be presented at the Cloud and Fog Robotics workshop (CAFR) at Robotics: Science and Systems (RSS) 2019

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song

Comments RSS 2019. Project page: http://zhenjiaxu.com/DensePhysNet

Trajectory Optimization for Robust Humanoid Locomotion with Sample-Efficient Learning

Majid Khadiv, Mohammad Hasan Yeganegi, S. Ali A. Moosavian, Jia-Jie Zhu, Ludovic Righetti

Journal ref RSS Workshop on Numerical Optimization for Online Multi-Contact Motion Planning and Control, 2019

Practical Robot Learning from Demonstrations using Deep End-to-End Training

Akansel Cosgun, Thomas Rowntree, Ian Reid, Tom Drummond

Comments Presented in RSS 2019 Workshop: "Emerging paradigms for robotic manipulation: from the lab to the productive world"

Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control

Alexander Broad, Todd Murphey, Brenna Argall

Comments Published in Robotics: Science and Systems (RSS) 2019

BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators

Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox

Comments Code available at https://github.com/rafaelpossas/bayes_sim

Journal ref Robotics Science and Systems (RSS) 2019

Differentiable Algorithm Networks for Composable Robot Learning

Peter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomas Lozano-Perez

Comments RSS 2019 camera ready. Video is available at https://youtu.be/4jcYlTSJF4Y

Harnessing Reinforcement Learning for Neural Motion Planning

Tom Jurgenson, Aviv Tamar

Comments 13 pages (all), 8 pages (main sections), 6 figures, 4 tables, accepted to rss2019

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee

Journal ref Proc. Robotics: Science & Systems (RSS), 2019