RSS

A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play

Shray Bansal, Jin Xu, Ayanna Howard, Charles Isbell

Comments Accepted at Robotics: Science and Systems (RSS) 2020

Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image

Danny Driess, Jung-Su Ha, Marc Toussaint

Comments Robotics: Science and Systems (R:SS) 2020

Pixel-Wise Motion Deblurring of Thermal Videos

Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson-Roberson

Comments 10 pages, 8 figures, Accepted to Robotics: Science and Systems 2020

Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework

Yashraj S. Narang, Karl Van Wyk, Arsalan Mousavian, Dieter Fox

Comments To be published in Proc. Robotics: Science and Systems (RSS)

Deep Learning Tubes for Tube MPC

David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou

Comments RSS 2020 Camera Ready Version

Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers

Gilhyun Ryou, Ezra Tal, Sertac Karaman

Comments Accepted to appear at Robotics: Science and Systems 2020. Video at https://youtu.be/igwULi_H1Kg

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures

Allen Wang, Xin Huang, Ashkan Jasour, Brian Williams

Comments To appear in Robotics: Science and Systems

Learning to Slide Unknown Objects with Differentiable Physics Simulations

Changkyu Song, Abdeslam Boularias

Comments to be published in Robotics: Science and Systems, July 12-16, 2020

Active Preference-Based Gaussian Process Regression for Reward Learning

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Comments Proceedings of Robotics: Science and Systems (RSS), July 2020

Scaling data-driven robotics with reward sketching and batch reinforcement learning

Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang

Comments Project website: https://sites.google.com/view/data-driven-robotics/

Journal ref Robotics: Science and Systems Conference 2020

Fast Uniform Dispersion of a Crash-prone Swarm

Michael Amir, Alfred M. Bruckstein

Comments to appear in the proceedings of RSS (Robotics: Science and Systems) 2020

Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations

Glen Chou, Necmiye Ozay, Dmitry Berenson

Comments Extended version; conference version to appear in Robotics: Science and Systems XVI (RSS 2020)

Learning Memory-Based Control for Human-Scale Bipedal Locomotion

Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan Hurst

Comments 8 pages, 5 figures, submitted to Robotics: Science and Systems 2020

Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing

Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger

Comments Accepted for publication in Robotics: Science and Systems (RSS) 2020. Video: https://youtu.be/iE--MO0YF0o

Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes

Junhong Xu, Kai Yin, Lantao Liu

Comments Accepted by Robotics: Science and Systems 2020

Compositional Transfer in Hierarchical Reinforcement Learning

Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Siegel, Nicolas Heess, Martin Riedmiller

Comments Robotics Science and Systems 2020

Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability

Forrest Laine, Chiu-Yuan Chiu, Claire Tomlin

Comments Accepted at Robotics: Science and Systems 2020, 9 pages

Safe Motion Planning for Autonomous Driving using an Adversarial Road Model

Alexander Liniger, Luc van Gool

Comments Accepted at RSS 2020

Towards Embodied Scene Description

Sinan Tan, Huaping Liu, Di Guo, Xinyu Zhang, Fuchun Sun

Comments Accepted in Robotics: Science and Systems 2020

The Adaptive Stress Testing Formulation

Mark Koren, Anthony Corso, Mykel J. Kochenderfer

Comments Presented at the Workshop on Robust Autonomy at RSS 2019

Exploration in Action Space

Anirudh Vemula, Wen Sun, J. Andrew Bagnell

Comments Presented at RSS 2018 in Learning and Inference in Robotics: Integrating Structure, Priors and Models workshop. arXiv admin note: text overlap with arXiv:1901.11503

An Omnidirectional Aerial Manipulation Platform for Contact-Based Inspection

Karen Bodie, Maximilian Brunner, Michael Pantic, Stefan Walser, Patrick Pfändler, Ueli Angst, Roland Siegwart, Juan Nieto

Comments Accepted submission to Robotics: Science and Systems conference 2019. 9 pages, 12 figures

Journal ref Proceedings of Robotics: Science and Systems, 2019

Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles

Charles Dawson, Andreas Hofmann, Brian Williams

Comments Submitted to RSS 2020

Socially intelligent task and motion planning for human-robot interaction

Andrea Frank, Laurel Riek

Comments 2 pages plus references, no figures. Presented at RSS 2019 Workshop on Robust Task and Motion Planning

Active Learning for UAV-based Semantic Mapping

Hermann Blum, Silvan Rohrbach, Marija Popovic, Luca Bartolomei, Roland Siegwart

Comments presented at RSS'19 "2nd Workshop on Informative Path Planning and Adaptive Sampling"

Road safety of passing maneuvers: a bivariate extreme value theory approach under non-stationary conditions

Joana Cavadas, Carlos Lima Azevedo, Haneen Farah, Ana Ferreira

Comments 30 pages, 6 figures, 6 tables, presented at Road Safety and Simulation conference 2017 (http://rss2017.org/) and currently under review at APP

Journal ref Accident Analysis & Prevention Volume 134, January 2020, 105315

An Information Theoretic Measure for Robot Expressivity

A. LaViers

Comments Rejected from RSS 2017

From explanation to synthesis: Compositional program induction for learning from demonstration

Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy

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

A novel approach to model exploration for value function learning

Zlatan Ajanovic, Halil Beglerovic, Bakir Lacevic

Comments Presented at RSS 2019 workshop CLeaR

Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts

Mathew Halm, Michael Posa

Comments Robotics: Science and Systems 2019