IEEE RA-L

Safety-aware time-optimal motion planning with uncertain human state estimation

Marco Faroni, Manuel Beschi, Nicola Pedrocchi

Comments Accepted in IEEE Robotics and Automation Letters, 2022

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard

Comments Submitted to RA-L

Robot Learning of Mobile Manipulation with Reachability Behavior Priors

Snehal Jauhri, Jan Peters, Georgia Chalvatzaki

Comments Accepted: RA-L & IROS 2022

Enhanced Decentralized Autonomous Aerial Robot Teams with Group Planning

Jialiang Hou, Xin Zhou, Zhongxue Gan, Fei Gao

Comments RAL with IROS2022

Journal ref [J]. IEEE Robotics and Automation Letters, 2022, 7(4): 9240-9247

Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning

Wil Thomason, Marlin P. Strub, Jonathan D. Gammell

Comments 9 pages, 5 figures. Accepted to IEEE RA-L and IROS 2022

Journal ref IEEE Robotics and Automation Letters, vol. 7 num. 4, (2022). Pages 11370-11377

RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects

Ran Long, Christian Rauch, Tianwei Zhang, Vladimir Ivan, Tin Lun Lam, Sethu Vijayakumar

Comments 8 papges, 9 figures

Journal ref IEEE Robotics and Automation Letters 2022

How Many Events do You Need? Event-based Visual Place Recognition Using Sparse But Varying Pixels

Tobias Fischer, Michael Milford

Comments 8 pages

Journal ref IEEE Robotics and Automation Letters 2022

Feasible Wrench Set Computation for Legged Robots

Ander Vallinas Prieto, Arvid Q. L. Keemink, Edwin H. F. van Asseldonk, Herman van der Kooij

Comments \c{opyright} 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 A. V. Prieto, A. Q. L. Keemink, E. H. F. van Asseldonk and H. van der Kooij, "Feasible Wrench Set Computation for Legged Robots," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7676-7683, July 2022

Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery

Daesol Cho, Jigang Kim, H. Jin Kim

Comments 8 pages, 9 figures; accepted for publication in the IEEE Robotics and Automation Letters (RA-L); supplementary video available at https://www.youtube.com/watch?v=bF3Y4WXfM7c&t=9s

Journal ref IEEE Robotics and Automation Letters 7 (2022) 7455-7462

Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences

Xingyu Chen, Jianru Xue, Shanmin Pang

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 11894-11901, Oct. 2022

Meta Reinforcement Learning for Optimal Design of Legged Robots

Álvaro Belmonte-Baeza, Joonho Lee, Giorgio Valsecchi, Marco Hutter

Comments 8 pages. To be published in IEEE Robotics and Automation Letters (RA-L) and ICRA 2023

Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving

Jie Xiang, Yun Wang, Lifeng An, Haiyang Liu, Zijun Wang, Jian Liu

Comments Published on IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 11998-12005, Oct. 2022

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours

Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jurgen Leitner

Comments Published in IEEE Robotics and Automation Letters ( Volume: 7, Issue: 4, October 2022) Page(s): 11958 - 11965 https://ieeexplore.ieee.org/document/9894663

PlaneSDF-based Change Detection for Long-term Dense Mapping

Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard

Comments 8 pages, 7 figures, and 1 table. To be published in Robotics and Automation Letters and IROS 2022. Link to supplementary video added in the abstract: https://youtu.be/oh-MQPWTwZI

Long-Term Localization using Semantic Cues in Floor Plan Maps

Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

Comments Under review for RA-L

Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study

Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 6, NO. 2, APRIL 2021

Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking

Yubo Cui, Jiayao Shan, Zuoxu Gu, Zhiheng Li, Zheng Fang

Comments Accepted for publication at IEEE Robotics and Automation Letters (RAL)

SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor

Shiqi Zhao, Peng Yin, Ge Yi, Sebastian Scherer

Comments 8 pages, 7 figures, IEEE Robotics and Automation Letters

Learning Stable Vector Fields on Lie Groups

Julen Urain, Davide Tateo, Jan Peters

Comments ICRA RA-L preprint

TwistSLAM: Constrained SLAM in Dynamic Environment

Mathieu Gonzalez, Eric Marchand, Amine Kacete, Jérôme Royan

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

Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model

Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang

Comments 8 pages, 17 figures, RA-L accepted, september, 2022, preprint version

Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data

Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata

Comments 8 pages, 7 figures. To appear in IEEE Robotics and Automation Letters (RA-L) and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). An accompanying video is available at https://youtu.be/YlxM_kw6YLE

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 4, October 2022)

MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position

Jingtian Yan, Xingqiao Lin, Zhongqiang Ren, Shiqi Zhao, Jieqiong Yu, Chao Cao, Peng Yin, Ji Zhang, Sebastian Scherer

Comments 8 pages, 8 figures, Submitted to IEEE RAL

Physically Consistent Preferential Bayesian Optimization for Food Arrangement

Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara

Comments 8 pages, 10 figures, accepted by IEEE Robotics and Automation Letters (RA-L) 2022

An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella, Jérôme Guzzi

Journal ref IEEE Robotics and Automation Letters Volume 7 Issue 4 (Oct. 2022) 11354-11361

Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu

Comments 8 pages, 9 figure; Accepted for publication at IEEE Robotics and Automation Letters (RA-L) 2022

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation

Song Wang, Jianke Zhu, Ruixiang Zhang

Comments Accepted by RA-L with IROS 2022

Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry

Vincenzo Polizzi, Robert Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10681-10688, Oct. 2022

Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset

Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler, Rudolph Triebel

Comments RA-L + IROS 2022 Submission, Accepted

Visibility Maximization Controller for Robotic Manipulation

Kerry He, Rhys Newbury, Tin Tran, Jesse Haviland, Ben Burgess-Limerick, Dana Kulić, Peter Corke, Akansel Cosgun

Comments 8 pages, 6 figures, 7 tables, submitted to RA-L and IROS 2022