ICRA

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery

Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren

Comments Accepted in ICRA 2021

Ergodic imitation: Learning from what to do and what not to do

Aleksandra Kalinowska, Ahalya Prabhakar, Kathleen Fitzsimons, Todd Murphey

Comments Kalinowska and Prabhakar contributed equally to this work

Journal ref International Conference on Robotics and Automation, 2021

Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study

Ilias Aouaj, Vincent Padois, Alessandro Saccon

Journal ref IEEE International Conference on Robotics and Automation, May 2021, Xi'an, China

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections

Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, Dieter Fox

Comments To be published in Proc. IEEE International Conference on Robotics and Automation (ICRA)

Encoding Defensive Driving as a Dynamic Nash Game

Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin

Comments Accepted to ICRA 2021

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

Comments ICRA 2021 paper. Project: https://sites.google.com/view/icra2021-reconstruction

Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

Caixia Cai, Ying Siu Liang, Nikhil Somani, Wu Yan

Comments 8 pages, 6 figures, ICRA 2020

Journal ref 2020 International Conference on Robotics and Automation (ICRA 2020)

Reduced Dynamics and Control for an Autonomous Bicycle

Jiaming Xiong, Bo Li, Ruihan Yu, Daolin Ma, Wei Wang, Caishan Liu

Journal ref ICRA 2021

Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar

Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark Campbell

Comments Accepted to the 2021 IEEE International Conference on Robotics and Automation (ICRA)

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning

Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg

Comments Accepted as a conference paper at ICRA 2021. 7 pages, 8 figures

A Scavenger Hunt for Service Robots

Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone

Comments 6 pages + references + Appendix

Journal ref the 2021 IEEE International Conference on Robotics and Automation (ICRA), May 30 - June 5, 2021, Xi'an, China

Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models

Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto

Comments Accepted for publication in IEEE Robotics and Automation Letters (2021) and presentation at IEEE International Conference on Robotics and Automation (2021) Updated funding information

Journal ref IEEE Robotics and Automation Letters (2021) and IEEE International Conference on Robotics and Automation (2021)

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs

Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu

Comments Accepted to ICRA 2021

Active Inference for Integrated State-Estimation, Control, and Learning

Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes

Comments 7 pages, 6 figures, accepted for presentation at the International Conference on Robotics and Automation (ICRA) 2021

PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN

Yaxu Xie, Jason Rambach, Fangwen Shu, Didier Stricker

Comments accepted to ICRA 2021

Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport

Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara

Comments 7 pages, 7 figures, to be published in the 2021 International Conference on Robotics and Automation

Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks

Siddharth Srivastava, Gaurav Sharma

Comments ICRA 2021

Range-Visual-Inertial Odometry: Scale Observability Without Excitation

Jeff Delaune, David S. Bayard, Roland Brockers

Journal ref IEEE Robotics and Automation Letters, with presentation at the IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021

Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks

Heramb Nemlekar, Jignesh Modi, Satyandra K. Gupta, Stefanos Nikolaidis

Comments 8 pages, 8 figures, 2021 International Conference on Robotics and Automation (ICRA)

Minimum directed information: A design principle for compliant robots

Kevin Haninger

Comments To be presented, ICRA 2021. Code at https://github.com/khaninger/info_min

Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations

Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi, Jonathan P. How, Yogesh Girdhar

Comments 7 pages, 6 figures, 1 table; accepted for presentation in IEEE Int. Conf. on Robotics and Automation, ICRA '21, Xi'an, China, June 2021

Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas

Leighton Collins, Payam Ghassemi, Ehsan T. Esfahani, David Doermann, Karthik Dantu, Souma Chowdhury

Comments Accepted for publication in the proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA)

Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition

Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Nicolas Pieper Bortoluzzi, Pedro Miranda Pinheiro, Armando Alves Neto, Paulo Lilles Jorge Drews-Jr

Comments Accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2021

Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry

Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers

Comments ICRA 2021 camera-ready submission; 7 pages, 5 figures and 3 tables

Learning Tactile Models for Factor Graph-based Estimation

Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson

Comments Accepted to ICRA 2021

Deep Multi-view Depth Estimation with Predicted Uncertainty

Tong Ke, Tien Do, Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis

Comments IEEE International Conference on Robotics and Automation (ICRA 2021)

End-To-End Semi-supervised Learning for Differentiable Particle Filters

Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li

Comments Accepted in ICRA 2021

Learning Robot Trajectories subject to Kinematic Joint Constraints

Jonas C. Kiemel, Torsten Kröger

Comments IEEE International Conference on Robotics and Automation (ICRA 2021); 7 pages, 7 figures

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments

Stewart Jamieson, Jonathan P. How, Yogesh Girdhar

Comments 7 pages, 4 figures; accepted for presentation in IEEE Int. Conf. on Robotics and Automation, ICRA '20, Paris, France, June 2020

Journal ref 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 1806-1812

To Learn or Not to Learn: Visual Localization from Essential Matrices

Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixe

Comments Accepted to ICRA 2020