IEEE RA-L

Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion

Dorian Tsai, Peter Corke, Thierry Peynot, Donald G. Dansereau

Comments submitted to IROS-RAL 2021. 8 pages, 9 figures, 2 tables

An expressiveness hierarchy of Behavior Trees and related architectures

Oliver Biggar, Mohammad Zamani, Iman Shames

Comments 8 pages, 2 figures. Accepted to IEEE Robotics and Automation Letters

A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift

Lukas Schmid, Victor Reijgwart, Lionel Ott, Juan Nieto, Roland Siegwart, Cesar Cadena

Comments 8 pages, 9 figures, accepted for IEEE RA-L, code is open source: https://github.com/ethz-asl/glocal_exploration

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4504-4511, July 2021

A Novel Adaptive Controller for Robot Manipulators based on Active Inference

Corrado Pezzato, Riccardo Ferrari, Carlos Hernandez

Journal ref IEEE RA-L 2020

Deep Weakly Supervised Positioning

Ruoyu Wang, Xuchu Xu, Li Ding, Yang Huang, Chen Feng

Comments 8 pages, 8 figures, submitted to IEEE Robotics and Automation Letters (RA-L) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation

Matteo Dunnhofer, Niki Martinel, Christian Micheloni

Comments IEEE Robotics and Automation Letters (RA-L)

STA-VPR: Spatio-temporal Alignment for Visual Place Recognition

Feng Lu, Baifan Chen, Xiang-Dong Zhou, Dezhen Song

Comments Accepted for publication in IEEE RA-L 2021

Journal ref IEEE Robotics and Automation Letters, 2021

Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients

Ryosuke Tsumura, John W. Hardin, Keshav Bimbraw, Olushola S. Odusanya, Yihao Zheng, Jeffrey C. Hill, Beatrice Hoffmann, Winston Soboyejo, Haichong K. Zhang

Comments The demonstration video of our robotic platform can be watched below the link <https://youtu.be/BbNCvESTYik>

Journal ref IEEE Robotics and Automation Letters (2021)

Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning

Vikram Shree, Beatriz Asfora, Rachel Zheng, Samantha Hong, Jacopo Banfi, Mark Campbell

Comments 8 pages, 5 figures. To be presented at the IEEE International Conference on Robotics and Automation, 2021. Dataset available at: https://github.com/vikshree/DISC-L.git

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 3152-3159, April 2021

Corrective Shared Autonomy for Addressing Task Variability

Michael Hagenow, Emmanuel Senft, Robert Radwin, Michael Gleicher, Bilge Mutlu, Michael Zinn

Comments IEEE Robotics and Automation Letters (RA-L)

Attentional Graph Neural Network for Parking-slot Detection

Chen Min, Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai

Comments Accepted by RAL

Journal ref IEEE Robotics and Automation Letters, vol.6, pp. 3445-3450, 2021

Mobile Robot Yielding Cues for Human-Robot Spatial Interaction

Nicholas J. Hetherington, Ryan Lee, Marlene Haase, Elizabeth A. Croft, H. F. Machiel Van der Loos

Comments 6 pages, 5 figures. Submitted to IEEE Robotics and Automation Letters and 2021 IEEE/RSJ International Conference on Robotics and Automation (IROS'21)

Hey Robot, Which Way Are You Going? Nonverbal Motion Legibility Cues for Human-Robot Spatial Interaction

Nicholas J. Hetherington, Elizabeth A. Croft, H. F. Machiel Van der Loos

Comments 6 pages, 4 figures. Accepted to IEEE Robotics and Automation Letters and the 2021 IEEE International Conference on Robotics and Automation (ICRA'21)

PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling

Xinshuo Weng, Ye Yuan, Kris Kitani

Comments Published in Robotics and Automation Letters (RA-L) 2021, with the ICRA 2021 option. The first two authors contributed equally. Project website: https://www.xinshuoweng.com/projects/PTP/

LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Jiunn-Kai Huang, Shoutian Wang, Maani Ghaffari, Jessy W. Grizzle

Journal ref IEEE Robotics and Automation Letters, 31 March 2021

Advancing Mixture Models for Least Squares Optimization

Tim Pfeifer, Sven Lange, Peter Protzel

Comments 8 pages, 4 figures, Accepted for IEEE Robotics and Automation Letters (RA-L)

iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving

Zhenhua Xu, Yuxiang Sun, Ming Liu

Journal ref IEEE Robotics and Automation Letters,6,(2021),1097-1104

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)

Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization

Cagri Kilic, Nicholas Ohi, Yu Gu, Jason N. Gross

Comments 8 pages, 6 figures, 2 tables

Journal ref IEEE Robotics and Automation Letters (RA-L), 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

Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

Florian Tschopp, Cornelius von Einem, Andrei Cramariuc, David Hug, Andrew William Palmer, Roland Siegwart, Margarita Chli, Juan Nieto

Comments Florian Tschopp, Cornelius von Einem, and Andrei Cramariuc contributed equally to this work

Journal ref IEEE Robotics and Automation Letters ( Volume: 6, Issue: 2, April 2021)

SKID RAW: Skill Discovery from Raw Trajectories

Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters

Comments IEEE Robotics and Automation Letters

Hyperparameter Auto-tuning in Self-Supervised Robotic Learning

Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng

Comments 8 pages, 6 figures, Published in IEEE Robotics and Automation Letters; Presented at The 2021 International Conference on Robotics and Automation (ICRA 2021); Presented at Deep RL Workshop, NeurIPS 2020

Journal ref IEEE Robotics and Automation Letters, Volume:6, Issue:2, P. 3537-3544, April 2021

A Plenum-Based Calibration Device for Tactile Sensor Arrays

Joan Kangro, Anand Vazhapilli Sureshbabu, Silvio Traversaro, Daniele Pucci, Francesco Nori

Comments 8 pages, 18 figures

Journal ref IEEE Robotics and Automation Letters ( Volume: 3, Issue: 4, Oct. 2018)

Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments

O. de Groot, B. Brito, L. Ferranti, D. Gavrila, J. Alonso-Mora

Comments 8 pages, 4 figures. To be published in IEEE Robotics and Automation Letters

3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation

Zhidong Liang, Ming Yang, Chunxiang Wang

Journal ref Title: 3D Instance Embedding Learning With a Structure-Aware Loss Function for Point Cloud Segmentation; Published in: IEEE Robotics and Automation Letters ( Volume: 5, Issue: 3, July 2020)

Potential Gap: Using Reactive Policies to Guarantee Safe Navigation

Ruoyang Xu, Shiyu Feng, Patricio A. Vela

Comments Submitted to RA-L with IROS 2021 option

Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap

Zhefan Xu, Di Deng, Kenji Shimada

Comments 8 Pages, 9 Figures, and 5 Tables. Video Link: https://youtu.be/ileyP4DRBjU. Github Link: https://github.com/Zhefan-Xu/DEP

Journal ref IEEE Robotics and Automation Letters, Volume: 6, Issue: 2, April 2021. Page(s): 2729 - 2736

In-flight actuator failure recovery of a hexrotor via multiple models and extended high-gain observers

Connor J. Boss, Vaibhav Srivastava

Comments Submitted to IEEE Robotics and Automation Letters (RA-L) Experiment video available at: https://youtu.be/1hJuWn53Rzo

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion

Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai

Comments Accepted by RAL