CoRL 2017

49 papers

Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora

Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate

Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences

Jeffrey Mahler, Ken Goldberg

Gradient-free Policy Architecture Search and Adaptation

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection

Nikhil Das, Naman Gupta, Michael Yip

Reverse Curriculum Generation for Reinforcement Learning

Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems

Joshua Whitman, Girish Chowdhary

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping

Ransalu Senanayake, Fabio Ramos

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

Nishant Shukla, Yunzhong He, Frank Chen, Song-chun Zhu

Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments

John Martin, Brendan Englot

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg

How Robots Learn to Classify New Objects Trained from Small Data Sets

Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel

Emergent Behaviors in Mixed-Autonomy Traffic

Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen

Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact

Nima Fazeli, Samuel Zapolsky, Evan Drumwright, Alberto Rodriguez

Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction

Joseph Campbell, Heni Ben Amor

Learning Partially Contracting Dynamical Systems from Demonstrations

Harish Ravichandar, Iman Salehi, Ashwin Dani

One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

Self-Supervised Visual Planning with Temporal Skip Connections

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Stephen James, Andrew J. Davison, Edward Johns

image2mass: Estimating the Mass of an Object from Its Image

Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin

Hierarchical Reinforcement Learning with Parameters

Maciej Klimek, Henryk Michalewski, Piotr Mi\loś

Learning a visuomotor controller for real world robotic grasping using simulated depth images

Ulrich Viereck, Andreas Pas, Kate Saenko, Robert Platt

Mutual Alignment Transfer Learning

Markus Wulfmeier, Ingmar Posner, Pieter Abbeel

Learning Heuristic Search via Imitation

Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Andrei A. Rusu, Matej Večerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor

Learning Robotic Manipulation of Granular Media

Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox

Optimizing Long-term Predictions for Model-based Policy Search

Andreas Doerr, Christian Daniel, Duy Nguyen-tuong, Alonso Marco, Stefan Schaal

Learning Robot Objectives from Physical Human Interaction

Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Serkan Cabi, Sergio Gómez Colmenarejo, Misha Denil, Ziyu Wang, Nando Freitas

Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning

Gabriel Kalweit, Joschka Boedecker

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Jose R. Medina, Aude Billard

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

Daniel Tanneberg, Jan Peters, Elmar Rueckert

Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks

Zackory Erickson, Sonia Chernova, Charles C. Kemp

DART: Noise Injection for Robust Imitation Learning

Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

End-to-End Learning of Semantic Grasping

Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Principal Variety Analysis

Reza Iraji, Hamidreza Chitsaz

Improved Adversarial Systems for 3D Object Generation and Reconstruction

Edward J. Smith, David Meger

Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation

Tatiana Lopez-Guevara, Nicholas K Taylor, Subramanian Ramamoorthy, Kartic Subr, Michael U. Gutmann

Opportunistic Active Learning for Grounding Natural Language Descriptions

Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone

Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision

Humphrey Hu, George Kantor

Deep Kernels for Optimizing Locomotion Controllers

Rika Antonova, Akshara Rai, Christopher G. Atkeson

Active Incremental Learning of Robot Movement Primitives

Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters

Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation

Yan Zuo, Tom Drummond

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, Davide Maltoni

CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun