CoRL

Relational Learning for Skill Preconditions

Mohit Sharma, Oliver Kroemer

Comments CoRL'20

Generalization Guarantees for Imitation Learning

Allen Z. Ren, Sushant Veer, Anirudha Majumdar

Comments Presented at the Conference on Robot Learning (CoRL), 2020

From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion

Deepali Jain, Atil Iscen, Ken Caluwaerts

Journal ref 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA

Learning Certified Control using Contraction Metric

Dawei Sun, Susmit Jha, Chuchu Fan

Comments Accepted to Conference on Robot Learning (CoRL) 2020

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

Letian Chen, Rohan Paleja, Matthew Gombolay

Comments In Proceedings of the Conference on Robot Learning (CoRL '20)

IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping

Sadegh Rabiee, Joydeep Biswas

Comments To be published in CoRL 2020 (Conference on Robot Learning)

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

Prasoon Goyal, Scott Niekum, Raymond J. Mooney

Comments Conference on Robot Learning (CoRL), 2020

Learning hierarchical relationships for object-goal navigation

Yiding Qiu, Anwesan Pal, Henrik I. Christensen

Comments Paper accepted at CoRL-2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

Comments Conference on Robot Learning (CoRL) 2020

A User's Guide to Calibrating Robotics Simulators

Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos

Comments Accepted at Conference on Robot Learning 2020

Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing

Ignat Georgiev, Christoforos Chatzikomis, Timo Völkl, Joshua Smith, Michael Mistry

Comments Accepted at 4th Conference on Robot Learning (CoRL 2020)

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects

Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois R. Hogan, Joshua Tenenbaum, Pulkit Agrawal, Alberto Rodriguez

Comments Conference on Robot Learning (CoRL 2020): Project website: https://anthonysimeonov.github.io/rpo-planning-framework/

Recovering and Simulating Pedestrians in the Wild

Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

Comments CoRL 2020

Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control

Ji Woong Kim, Peiyao Zhang, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov

Comments Accepted to Conference on Robot Learning (CoRL) 2020

Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following

Valts Blukis, Ross A. Knepper, Yoav Artzi

Comments 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA

Planning Paths Through Unknown Space by Imagining What Lies Therein

Yutao Han, Jacopo Banfi, Mark Campbell

Comments Accepted to Conference on Robot Learning (CoRL) 2020

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation

Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex LaGrassa, Oliver Kroemer

Comments Accepted as Plenary Talk at CoRL'20. First two authors contributed equally. For results see https://sites.google.com/view/compositional-object-control/

Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians

Bruno Brito, Hai Zhu, Wei Pan, Javier Alonso-Mora

Comments Accepted, 12 pages, 4 figures

Journal ref CoRL 2020

Map-Adaptive Goal-Based Trajectory Prediction

Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick

Comments Published at CoRL 2020

Journal ref Conference on Robot Learning (CoRL) 2020

BayesRace: Learning to race autonomously using prior experience

Achin Jain, Matthew O'Kelly, Pratik Chaudhari, Manfred Morari

Journal ref 4th Conference on Robot Learning (CoRL 2020)

Learning Predictive Models for Ergonomic Control of Prosthetic Devices

Geoffrey Clark, Joseph Campbell, Heni Ben Amor

Comments Accepted to CoRL 2020. Accompanying video presentation: https://www.youtube.com/watch?v=DxQPF3VwuoA&feature=youtu.be

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos

Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic

Comments CoRL 2020, code at CoRL2020" target="_blank" rel="noopener">https://github.com/makarandtapaswi/Real2Sim_CoRL2020, project page at https://data.ciirc.cvut.cz/public/projects/2020Real2Sim/

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning

Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held

Comments CoRL 2020. The first two authors contributed equally. Project video and code are available at https://sites.google.com/andrew.cmu.edu/roll

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation

Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto

Comments Extended version of CoRL 2020 camera ready. Supplementary released separately

Learning Latent Representations to Influence Multi-Agent Interaction

Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh

Comments Conference on Robot Learning (CoRL) 2020. Supplementary website at https://sites.google.com/view/latent-strategies/

Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping

Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta

Comments Accepted to Conference on Robot Learning (CoRL) 2020

StrObe: Streaming Object Detection from LiDAR Packets

Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun

Comments To be presented at the 4th Conference on Robot Learning (CoRL 2020)

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

Comments Accepted to Conference on Robot Learning (CoRL) 2020

Fit2Form: 3D Generative Model for Robot Gripper Form Design

Huy Ha, Shubham Agrawal, Shuran Song

Comments Conference on Robot Learning 2020

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs

Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun

Comments CoRL 2020 (Oral)