IEEE RA-L

Dance Teaching by a Robot: Combining Cognitive and Physical Human-Robot Interaction for Supporting the Skill Learning Process

Diego Felipe Paez Granados, Breno A. Yamamoto, Hiroko Kamide, Jun Kinugawa, Kazuhiro Kosuge

Comments Presented at IEEE International Conference on Robotics and Automation ICRA-2017

Journal ref IEEE Robotics and Automation Letters, vol. 2, no. 3, pp. 1452-1459, July 2017

Predicting Energy Consumption of Ground Robots On Uneven Terrains

Minghan Wei, Volkan Isler

Journal ref IEEE Robotics and Automation Letters, 2021

Measuring the Overall Complexity of Graphical and Textual IEC 61131-3 Control Software

Juliane Fischer, Birgit Vogel-Heuser, Heiko Schneider, Nikolai Langer, Markus Felger, Matthias Bengel

Comments 8 pages, https://ieeexplore.ieee.org/abstract/document/9444196/

Journal ref Robotics and Automation Letters 6 (2021) 3

Human-Multirobot Collaborative Mobile Manipulation: the Omnid Mocobots

Matthew L. Elwin, Billie Strong, Randy A. Freeman, Kevin M. Lynch

Comments 8 pages, 10 figures. Videos available at https://www.youtube.com/watch?v=SEuFfONryL0. Submitted to IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters (RA-L), January 2023, Volume 8, Issue 1, Pages 376-383, ISSN 2377-3766

Introduction of an Assistance System to Support Domain Experts in Programming Low-code to Leverage Industry 5.0

Eva-Maria Neumann, Birgit Vogel-Heuser, Fabian Haben, Marius Krueger, Timotheus Wieringa

Comments 8 pages, https://ieeexplore.ieee.org/abstract/document/9839457

Journal ref Robotics and Automation Letters 7 (2022) 4

GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving

Se-Wook Yoo, Chan Kim, Jin-Woo Choi, Seong-Woo Kim, Seung-Woo Seo

Comments 8 pages, 7 figures, 4 tables, submission to RA-L in 2022

Journal ref IEEE Robotics and Automation Letters 2022

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data

Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss

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

Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion

Tolga-Can Çallar, Sven Böttger

Comments Accepted for publication in IEEE Robotics and Automation Letters ( see https://ieeexplore.ieee.org/document/9954138 ). 8 pages, 8 figures

TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning

Junjie Lu, Bi Zeng, Jingtao Tang, Tin Lun Lam

Comments 8 pages, 9 figures, submitted to RA-L

Picking Up Speed: Continuous-Time Lidar-Only Odometry using Doppler Velocity Measurements

Yuchen Wu, David J. Yoon, Keenan Burnett, Soeren Kammel, Yi Chen, Heethesh Vhavle, Timothy D. Barfoot

Comments RA-L & ICRA2023

Self-Supervised Feature Learning for Long-Term Metric Visual Localization

Yuxuan Chen, Timothy D. Barfoot

Comments IEEE RA-L 2023

Kinematic Orienteering Problem With Time-Optimal Trajectories for Multirotor UAVs

Fabian Meyer, Katharina Glock

Comments This work was published in IEEE Robotics and Automation Letteres, VOL. 7, NO. 4, OCTOBER 2022

Journal ref in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 11402-11409, Oct. 2022

Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU

Yibin Wu, Jian Kuang, Xiaoji Niu, Jens Behley, Lasse Klingbeil, Heiner Kuhlmann

Comments Accepted to IEEE Robotics and Automation Letters

Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species

Abubakar Siddique, Amy Tabb, Henry Medeiros

Comments 8 pages, 7 figures

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

Winding Through: Crowd Navigation via Topological Invariance

Christoforos Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa

Comments Final version to appear at IEEE RA-L - minor acknowledgments fix

Single-Fingered Reconfigurable Robotic Gripper With a Folding Mechanism for Narrow Working Spaces

Toshihiro Nishimura, Tsubasa Muryoe, Yoshitatsu Asama, Hiroki Ikeuchi, Ryo Toshima, Tetsuyou Watanabe

Comments This study was presented at IROS 2022

Journal ref IEEE Robotics and Automation Letters, Vol.7, No.4 (2022) 10192-10199

DVGG: Deep Variational Grasp Generation for Dextrous Manipulation

Wei Wei, Daheng Li, Peng Wang, Yiming Li, Wanyi Li, Yongkang Luo, Jun Zhong

Comments Accepted by Robotics and Automation Letters (RA-L, 2021)

Safe Reinforcement Learning Using Black-Box Reachability Analysis

Mahmoud Selim, Amr Alanwar, Shreyas Kousik, Grace Gao, Marco Pavone, Karl H. Johansson

Comments This paper is accepted at IEEE Robotics and Automation Letters and International Conference on Robotics and Automation (ICRA)

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM

Yunge Cui, Xieyuanli Chen, Yinlong Zhang, Jiahua Dong, Qingxiao Wu, Feng Zhu

Comments Accepted by IEEE Robotics and Automation Letters (RA-L)/ICRA 2023

Model-Free Safety-Critical Control for Robotic Systems

Tamas G. Molnar, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames

Comments Accepted to the IEEE Robotics and Automation Letters (RA-L) and submitted to the 2022 IEEE International Conference on Robotics and Automation (ICRA). 8 pages, 5 figures

Discrete-Continuous Smoothing and Mapping

Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard

Comments Extended technical report for publication in IEEE Robotics and Automation Letters (RA-L)

Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu

Comments This work is accepted by IEEE RAL. 8 pages, 6 figures

Reconfigurable Drone System for Transportation of Parcels With Variable Mass and Size

Fabrizio Schiano, Przemyslaw Mariusz Kornatowski, Leonardo Cencetti, Dario Floreano

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

Safety-Critical Optimal Control for Robotic Manipulators in A Cluttered Environment

Xuda Ding, Han Wang, Yi Ren, Yu Zheng, Cailian Chen, Jianping He

Comments Submitted to IEEE RA-L

Point Cloud Change Detection With Stereo V-SLAM:Dataset, Metrics and Baseline

Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 12443-12450, Oct. 2022

Hyperbolic Cosine Transformer for LiDAR 3D Object Detection

Jigang Tong, Fanhang Yang, Sen Yang, Enzeng Dong, Shengzhi Du, Xing Wang, Xianlin Yi

Comments 8 pages, 5 figures and 3 tables. This paper possibly publicated on the IEEE Robotics and Automation Letters

Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations

Raúl Castilla-Arquillo, Carlos Jesús Pérez-del-Pulgar, Gonzalo Jesús Paz-Delgado, Levin Gerdes

Comments Preprint version only. Final version at IEEE Xplore. Accepted for IEEE Robotics and Automation Letters

Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation

Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, Ayoung Kim

Comments IEEE Robotics and Automation Letters

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

Guillaume Bellegarda, Auke Ijspeert

Comments Accepted for IEEE Robotics and Automation Letters, September 2022

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net

Yufei Wang, Yuchao Dai, Qi Liu, Peng Yang, Jiadai Sun, Bo Li

Comments Accepted to IEEE Robotics and Automation Letters (RA-L), Code: https://github.com/YufeiWang777/CU-Net