IEEE RA-L

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Li Fei-Fei, Roberto Martín-Martín, Silvio Savarese

Comments 9 pages, 8 figures. Consider citing a newer version (https://arxiv.org/abs/2012.02924) if you are using iGibson

Journal ref IEEE Robotics and Automation Letters, Vol. 5, No. 2, April 2020

Transfer Reinforcement Learning across Homotopy Classes

Zhangjie Cao, Minae Kwon, Dorsa Sadigh

Comments Accepted by IEEE Robotics and Automation Letters 2021

Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning

Cristino de Souza, Rhys Newbury, Akansel Cosgun, Pedro Castillo, Boris Vidolov, Dana Kulic

Comments Published in RA-L and ICRA

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

On Bundle Adjustment for Multiview PointCloud Registration

Huaiyang Huang, Yuxiang Sun, Jin Wu, Jiaohao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu

Comments IEEE Robotics and Automation Letters 2021

SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots

Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis Hong

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) 2021. Pre-print version. The video link of the paper is: https://www.youtube.com/watch?v=EKCCQtN5Z6A

Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation

Nicholas Stearns Selby, H. Harry Asada

Comments The contents of this paper were also selected by the CASE 2021 Program Committee for presentation at the conference

Journal ref IEEE Robotics and Automation Letters 6 (2021) 6297-6304

Visual Object Recognition in Indoor Environments Using Topologically Persistent Features

Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee

Comments This work has been accepted for publication in the IEEE Robotics And Automation Letters

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras

Journal ref 2021 IEEE Robotics and Automation Letters (RA-L)

Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video

Shan Lin, Fangbo Qin, Haonan Peng, Randall A. Bly, Kris S. Moe, Blake Hannaford

Comments Published in IEEE Robotics and Automation Letters (Early Access)

DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning

Iaroslav Okunevich, Daria Trinitatova, Pavel Kopanev, Dzmitry Tsetserukou

Comments Accepted to IEEE Robotics and Automation Letters and 17th International Conference on Automation Science and Engineering (CASE) 2021, IEEE copyright, 7 pages, 9 figures

CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations

Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) 2021

ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles

Cosmin Ginerica, Mihai Zaha, Florin Gogianu, Lucian Busoniu, Bogdan Trasnea, Sorin Grigorescu

Journal ref IEEE Robotics and Automation Letters, 2021

Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects

Cristiana de Farias, Naresh Marturi, Rustam Stolkin, Yasemin Bekiroglu

Comments IEEE Robotics and Automation Letters. Preprint Version. Accepted February, 2021

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu

Comments 8 pages, 8 figures. IEEE Robotics and Automation Letters (RA-L) & IROS 2021

Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness

Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford

Comments 8 pages

Journal ref IEEE Robotics and Automation Letters and IROS 2021

Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss

Comments Accepted by RA-L with IROS 2021

Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses

Shaoyu Cai, Kening Zhu, Yuki Ban, Takuji Narumi

Comments 8 pages, 6 figures, Accepted by IEEE Robotics and Automation Letters

Informing Real-time Corrections in Corrective Shared Autonomy Through Expert Demonstrations

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

Comments IEEE Robotics and Automation Letters (RA-L)

On the Challenges of Open World Recognitionunder Shifting Visual Domains

Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo

Comments RAL/ICRA 2021

Excavation Learning for Rigid Objects in Clutter

Qingkai Lu, Liangjun Zhang

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) 2021

Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments

Benjamin Riviere, Wolfgang Hoenig, Matthew Anderson, Soon-Jo Chung

Comments Accepted at IEEE RA-L, see DOI below

Position-based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery

Alice Segato, Chiara Di Vece, Sara Zucchelli, Marco Di Marzo, Thomas Wendler, Mohammad Farid Azampour, Stefano Galvan, Riccardo Secoli, Elena De Momi

Comments 8 pages, 8 figures. This article has been accepted for publication in a future issue of IEEE Robotics and Automation Letters, but has not been fully edited. Content may change prior to final publication. 2377-3766 (c) 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. A. Segato and C. Di Vece equally contributed

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 6061-6067, July 2021

A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition

Nikhil Varma Keetha, Michael Milford, Sourav Garg

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) and IROS 2021

Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization

S. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi

Journal ref IEEE Robotics and Automation Letters (RA-L 2021) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Instantaneous Capture Input for Balancing the Variable Height Inverted Pendulum

Junwei Liu, Hua Chen, Patrick M. Wensing, Wei Zhang

Comments RA-L with IROS 2021

MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping

Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie

Comments Accepted for IEEE RAL and IROS 2021

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

Decentralized trajectory optimization for multi-agent exploration

Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros

Comments 8 pages, 9 figures. Accepted to the Robotics and Automation Letters and the 2021 International Conference on Intelligent Robots and Systems

A Robust Controller for Stable 3D Pinching using Tactile Sensing

Efi Psomopoulou, Nicholas Pestell, Fotios Papadopoulos, John Lloyd, Zoe Doulgeri, Nathan F. Lepora

Comments 8 pages, 10 figures, 1 appendix. Accepted for publication in IEEE Robotics and Automation Letters and in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021). Supplemental video: https://youtu.be/rfQesw3FDA4

Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving

Zhenhua Xu, Yuxiang Sun, Ming Liu

Comments Accepted by IEEE Robotics and Automation Letters(RA-L) and The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection

Osama Mazhar, Robert Babuska, Jens Kober

Comments IEEE Robotics and Automation Letters (RA-L)