IEEE RA-L

Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems

Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford

Comments 8 pages, 5 figures, To be published in RA-L 2022

On the Implementation of Behavior Trees in Robotics

Michele Colledanchise, Lorenzo Natale

Journal ref IEEE Robotics and Automation Letters, Volume 6, Issue 3, July 2021

A Generalized Continuous Collision Detection Framework of Polynomial Trajectory for Mobile Robots in Cluttered Environments

Zeqing Zhang, Yinqiang Zhang, Ruihua Han, Liangjun Zhang, Jia Pan

Comments 8 pages. Accepted by IEEE Robotics and Automation Letters. See video (CN) at https://bilibili.com/video/BV19t4y1b7av?share_source=copy_web

BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling

Yechao Bai, Xiaogang Wang, Marcelo H. Ang, Daniela Rus

Comments Accepted to RA-L 2022. in IEEE Robotics and Automation Letters

Journal ref in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7447-7454, July 2022

Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions

Weilin Wan, Lei Yang, Lingjie Liu, Zhuoying Zhang, Ruixing Jia, Yi-King Choi, Jia Pan, Christian Theobalt, Taku Komura, Wenping Wang

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 2, April 2022)

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Yechao Bai, Ziyuan Huang, Lyuyu Shen, Hongliang Guo, Marcelo H. Ang, Daniela Rus

Comments Accepted to RA-L 2021. in IEEE Robotics and Automation Letters. The contents of this paper were also selected by the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) Program Committee for presentation at the Conference

Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data

Letian Wang, Liting Sun, Masayoshi Tomizuka, Wei Zhan

Comments IEEE Robotics and Automation Letters 2021 (Best Paper Award - Honorable Mention)

Journal ref IEEE Robotics and Automation Letters 6 (2), 3421-3428, 2021

Probabilistically Resilient Multi-Robot Informative Path Planning

Remy Wehbe, Ryan K. Williams

Comments 9 pages, 6 figures, submitted to IEEE Robotics and Automation Letters (RA-L)

Safe Reinforcement Learning Using Robust Control Barrier Functions

Yousef Emam, Gennaro Notomista, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt

Comments Submitted to IEEE Robotics and Automation Letters (RA-L)

What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry

Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman

Comments Accepted for RA-L

Grasping as Inference: Reactive Grasping in Heavily Cluttered Environment

Dongwon Son

Journal ref IEEE Robotics and Automation Letters 2022

The Hilti SLAM Challenge Dataset

Michael Helmberger, Kristian Morin, Beda Berner, Nitish Kumar, Giovanni Cioffi, Davide Scaramuzza

Comments in IEEE Robotics and Automation Letters, 2022

Data-driven Policy Transfer with Imprecise Perception Simulation

Martin Pecka, Karel Zimmermann, Matěj Petrlík, Tomáš Svoboda

Comments \c{opyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Journal ref in IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3916-3921, Oct. 2018

Learning Minimum-Time Flight in Cluttered Environments

Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7209-7216, July 2022

Efficient LiDAR Odometry for Autonomous Driving

Xin Zheng, Jianke Zhu

Journal ref IEEE Robotics and Automation Letters 2021

Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion

Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L) with IROS 2022 option

Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras

Javier Marina-Miranda, V. Javier Traver

Comments Copyright 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Journal ref IEEE Robotics and Automation Letters, 2022

Configuration Space Decomposition for Scalable Proxy Collision Checking in Robot Planning and Control

Mrinal Verghese, Nikhil Das, Yuheng Zhi, Michael Yip

Comments 8 pages, 9 figures, Accepted to IEEE Robotics and Automation Letters

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions

Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss

Comments Accepted for RA-L

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soeren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, Peter Stone

Journal ref Robotics and Automation Letters (RA-L) 2022

TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans

Minho Oh, Euigon Jung, Hyungtae Lim, Wonho Song, Sumin Hu, Eungchang Mason Lee, Junghee Park, Jaekyung Kim, Jangwoo Lee, Hyun Myung

Comments RA-L accepted

End-to-End Learning to Grasp via Sampling from Object Point Clouds

Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Aleš Leonardis, Tatiana Tommasi

Comments 8 pages, under review for RA-L/IROS 2022

Virtual Fixture Assistance for Suturing in Robot-Aided Pediatric Endoscopic Surgery

Murilo Marques Marinho, Hisashi Ishida, Kanako Harada, Kyoichi Deie, Mamoru Mitsuishi

Comments Accepted on RA-L/ICRA 2020, 8 Pages. Fixed a few typos

Journal ref IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 524-531, Apr. 2020

Learning to Sequence and Blend Robot Skills via Differentiable Optimization

Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour

Comments Accepted for publication in IEEE Robotics and Automation Letters. Video: https://youtu.be/00NXvTpL-YU, code: https://github.com/NoemieJaquier/sequencing-blending/

Motion Mappings for Continuous Bilateral Teleoperation

Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao

Comments Accepted for publication at the IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters IEEE Robotics and Automation Letters (2021), vol. 6, issue 3

Extrinsic Calibration of Multiple Inertial Sensors from Arbitrary Trajectories

Jongwon Lee, David Hanley, Timothy Bretl

Comments RA-L with ICRA 2022

Journal ref in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2055-2062, April 2022

L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets

Mathieu Gonzalez, Amine Kacete, Albert Murienne, Eric Marchand

Comments This work has been accepted at IEEE Robotics and Automation Letters

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford

Comments Accepted into IEEE Robotics and Automation Letters (RA-L) and presented at IEEE International Conference on Robotics and Automation (ICRA 2022)

Journal ref IEEE Robotics and Automation Letters (Volume: 7, Issue: 2, Pages: 3555-3562, Year: 2022)

Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning

Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith

Comments 8 pages, 9 figures, submitted to RA-L with IROS 2022 option

Automating Reinforcement Learning with Example-based Resets

Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim

Comments 8 pages, 6 figures; accepted for publication in the IEEE Robotics and Automation Letters (RA-L); source code available at https://github.com/jigangkim/autoreset_rl ; supplementary video available at https://youtu.be/himd0Z5b64A

Journal ref IEEE Robotics and Automation Letters 7 (2022) 6606-6613