IEEE RA-L

Deformation-Aware Robotic 3D Ultrasound

Zhongliang Jiang, Yue Zhou, Yuan Bi, Mingchuan Zhou, Thomas Wendler, Nassir Navab

Comments Accepted for publication in IEEE Robotics and Automation Letters; Video: https://www.youtube.com/watch?v=MlZtugQ2cvQ

Journal ref IEEE Robotics and Automation Letters 2021

IDDA: a large-scale multi-domain dataset for autonomous driving

Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo

Comments Accepted at IROS 2020 and RA-L. Download at: https://idda-dataset.github.io/home/

Journal ref IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5526-5533, Oct. 2020

Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants

Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson

Comments Accepted at RA-L and ICRA 2021. Craig Knuth and Glen Chou contributed equally to this work

Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment

Rui Tian, Yunzhou Zhang, Yonghui Feng, Linghao Yang, Zhenzhong Cao, Sonya Coleman, Dermot Kerr

Comments Submitting to RA-L

Elephants Don't Pack Groceries: Robot Task Planning for Low Entropy Belief States

Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar, Odest Chadwicke Jenkins

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 1, Jan. 2022)

Fast User Adaptation for Human Motion Prediction in Physical Human-Robot Interaction

Hee-Seung Moon, Jiwon Seo

Comments To be published in IEEE Robotics and Automation Letters (RA-L)

Unsupervised identification of surgical robotic actions from small non homogeneous datasets

Daniele Meli, Paolo Fiorini

Journal ref IEEE Robotics and Automation Letters, vol.6, issue 4, October 2021

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning

Sammy Christen, Lukas Jendele, Emre Aksan, Otmar Hilliges

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

Inverse Kinematics and Dexterous Workspace Formulation for 2-Segment Continuum Robots with Inextensible Segments

Yifan Wang, Zhonghao Wu, Longfei Wang, Bo Feng, Kai Xu

Comments Submitted to IEEE Robotics and Automation Letters

Design and Characterization of a 3D-printed Pneumatically-driven Bistable Valve with Tunable Characteristics

Sihan Wang, Liang He, Perla Maiolino

Comments 8 pages, 9 figures. Accepted by IEEE Robotics and Automation Letters (RA-L)

Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach

Hiroyasu Tsukamoto, Soon-Jo Chung

Comments IEEE Robotics and Automation Letters (RA-L), Preprint Version. Accepted June, 2021 (DOI: 10.1109/LRA.2021.3091019)

Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning

Peide Cai, Sukai Wang, Hengli Wang, Ming Liu

Comments 8 pages, 6 figures, submitted to RA-L with ICRA presentation option

R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

Jiarong Lin, Fu Zhang

Comments Submitted to IEEE Robotics and Automation Letters

Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA

Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara

Comments 8 pages, Accepted by Robotics and Automation Letters

Category-Level Metric Scale Object Shape and Pose Estimation

Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon

Comments IEEE Robotics and Automation Letters (RA-L). Preprint Version. Accepted August, 2021

LiDAR Odometry Methodologies for Autonomous Driving: A Survey

Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang

Comments International Conference on Robotics and Automation (ICRA) conference and Robotics and Automation Letters (RA-L) journal

Learning to Navigate Sidewalks in Outdoor Environments

Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha

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

Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment

Maria Victorova, Michael Ka-Shing Lee, David Navarro-Alarcon, Yongping Zheng

Comments Under Review in IEEE Robotics and Automation Letters (RA-L) with ICRA 2022

SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints

Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei Wang

Comments Submitted to RAL&ICRA 2022

A GNC Architecture for Planetary Rovers with Autonomous Navigation Capabilities

Martin Azkarate, Levin Gerdes, Luc Joudrier, Carlos J. Pérez-del-Pulgar

Comments Submission to RAL-ICRA2020. 6 pages + references

Journal ref 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 3003-3009

Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing

Zhichao Han, Zhepei Wang, Neng Pan, Yi Lin, Chao Xu, Fei Gao

Comments Submission for RA-L

Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction

Dapeng Zhao, Jean Oh

Comments Published by IEEE Robotics and Automation Letters (RA-L) (https://ieeexplore.ieee.org/abstract/document/9309403)

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 628-634, April 2021

DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network

Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang

Comments 9 pages, 7 figures, published in IEEE Robotics and Automation Letters and Accepted by ICRA2021

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

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation

Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li

Comments IEEE Robotics and Automation Letters (RA-L). Preprint Version. Accepted August, 2021

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, Ping Tan

Journal ref IEEE Robotics and Automation Letters, 2021

q-VAE for Disentangled Representation Learning and Latent Dynamical Systems

Taisuke Kobayashi

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, 2020

GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk

Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Comments To cite this work, please refer to the journal reference entry. For more information, code, pictures and video please visit https://github.com/robotology/GRASPA-benchmark

Journal ref in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 836-843, April 2020

A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver

Sirish Srinivasan, Sebastian Nicolas Giles, Alexander Liniger

Journal ref IEEE Robotics and Automation Letters 2021, Volume: 6, Issue: 4, Pages: 7854-7860

MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion

Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen

Comments IEEE International Conference on Robotics and Automation (ICRA) + IEEE Robotics and Automation Letters (RA-L). arXiv admin note: substantial text overlap with arXiv:2001.08212

Road Mapping and Localization using Sparse Semantic Visual Features

Wentao Cheng, Sheng Yang, Maomin Zhou, Ziyuan Liu, Yiming Chen, Mingyang Li

Comments Published at IEEE ROBOTICS AND AUTOMATION LETTERS