IEEE RA-L

Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects

Mélodie Daniel, Aly Magassouba, Miguel Aranda, Laurent Lequièvre, Juan Antonio Corrales Ramon, Roberto Iglesias Rodriguez, Youcef Mezouar

Comments 9 pages, 7 figures, 5 tables, Accepted for IEEE Robotics and Automation Letters (RA-L)

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation

Jinfeng Liu, Lingtong Kong, Jie Yang, Wei Liu

Comments 8 pages, 6 figures, accepted by IEEE Robotics and Automation Letters (RA-L 2023)

Time-Relative RTK-GNSS: GNSS Loop Closure in Pose Graph Optimization

Taro Suzuki

Comments Published in IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

Journal ref IEEE Robotics and Automation Letters (RA-L), vol. 5, no. 3, pp. 4735-4742, July 2020

GNSS Odometry: Precise Trajectory Estimation Based on Carrier Phase Cycle Slip Estimation

Taro Suzuki

Comments Published in IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Journal ref IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 3, pp. 7319-7326, July 2022

Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification

Brady Moon, Sagar Sachdev, Junbin Yuan, Sebastian Scherer

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) and ICRA 2024

Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks

Cihan Acar, Kuluhan Binici, Alp Tekirdağ, Yan Wu

Comments IEEE Robotics and Automation Letters

Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning

Zhongxiang Zhou, Yifei Yang, Yue Wang, Rong Xiong

Comments IEEE Robotics and Automation Letters

Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation

Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7825-7832, 2023

TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning

Dohyeong Kim, Songhwai Oh

Comments RA-L and ICRA 2022

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2621-2628, April 2022

Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk

Dohyeong Kim, Songhwai Oh

Comments RA-L and IROS 2022

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7644-7651, July 2022

GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors

Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) November 2023

AnyLoc: Towards Universal Visual Place Recognition

Nikhil Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian Scherer, Madhava Krishna, Sourav Garg

Comments IEEE RA-L 2023 (Presented at ICRA 2024)

UWB Radar SLAM: an Anchorless Approach in Vision Denied Indoor Environments

H. A. G. C. Premachandra, Ran Liu, Chau Yuen, U-Xuan Tan

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 9, pp. 5299-5306, Sept. 2023

Multi-tap Resistive Sensing and FEM Modeling enables Shape and Force Estimation in Soft Robots

Sizhe Tian, Barnabas Gavin Cangan, Stefan Escaida Navarro, Artem Beger, Christian Duriez, Robert K. Katzschmann

Comments 8 pages, 8 figures, to be published in Robotics and Automation Letters (RA-L)

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

Comments 10 pages, 5 figures, 5 tables, Accepted for Publication in the IEEE Robotics and Automation Letters (RA-L)

Enabling Faster Locomotion of Planetary Rovers with a Mechanically-Hybrid Suspension

David Rodríguez-Martínez, Kentaro Uno, Kenta Sawa, Masahiro Uda, Gen Kudo, Gustavo Hernan Diaz, Ayumi Umemura, Shreya Santra, Kazuya Yoshida

Comments 8 pages, 12 figures

Journal ref IEEE Robotics and Automation Letters, November 2023

Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots

Zhengzhe Xu, Yanbo Chen, Zhuozhu Jian, Junbo Tan, Xueqian Wang, Bin Liang

Comments IEEE Robotics and Automation Letters (RA-L)

Design, Modeling and Control of a Top-loading Fully-Actuated Cargo Transportation Multirotor

Wooyong Park, Xiangyu Wu, Dongjae Lee, Seung Jae Lee

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

MSCEqF: A Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation

Alessandro Fornasier, Pieter van Goor, Eren Allak, Robert Mahony, Stephan Weiss

Comments Accepted for publication in the IEEE Robotics and Automation Letters (RA-L), 2023

Trajectory Tracking Control of Dual-PAM Soft Actuator with Hysteresis Compensator

Junyi Shen, Tetsuro Miyazaki, Shingo Ohno, Maina Sogabe, Kenji Kawashima

Comments This paper has been published in the IEEE Robotics and Automation Letters ,DOI 10.1109/LRA.2023.3334098, copyright has been transfferd to the IEEE. Final version is available at IEEE Xplore

Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction

Sara Hatami Gazani, Matthew Tucsok, Iraj Mantegh, Homayoun Najjaran

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

Journal ref IEEE Robotics and Automation Letters (RA-L), 2023

RO-MAP: Real-Time Multi-Object Mapping with Neural Radiance Fields

Xiao Han, Houxuan Liu, Yunchao Ding, Lu Yang

Comments The code and dataset are available at: https://github.com/XiaoHan-Git/RO-MAP

Journal ref IEEE Robotics and Automation Letters ( Volume: 8, Issue: 9, September 2023)

Scalable Multi-robot Motion Planning for Congested Environments With Topological Guidance

Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy M. Amato

Comments This work has been submitted for review

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 6867-6874, Nov. 2023

Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks

Eley Ng, Ziang Liu, Monroe Kennedy

Comments IEEE Robotics and Automation Letters (RA-L), 2023. 8 pages, 7 figures, 3 tables. Supplementary material at https://sites.google.com/view/diffusion-co-policy-hrc

From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills

Fanxing Meng, Jing Xiao

Comments 8 pages, 9 figures. Submitted to IEEE Robotics and Automation Letters. Video available at https://youtu.be/d0RqrW1EzjQ

GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library

Cheng Chi, Xin Zhang, Jiahui Liu, Yulong Sun, Zihao Zhang, Xingqun Zhan

Comments Open-source: https://github.com/chichengcn/gici-open. Preprint version on Robotics and Automation Letters (RAL)

Anthropomorphic Grasping with Neural Object Shape Completion

Diego Hidalgo-Carvajal, Hanzhi Chen, Gemma C. Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, Stefan Leutenegger, Sami Haddadin

Comments Accepted to RA-L 2023

Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration

Xianyi Cheng, Sarvesh Patil, Zeynep Temel, Oliver Kroemer, Matthew T. Mason

Comments The IEEE Robotics and Automation Letters

EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration

Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su

Comments Project page: https://ootts.github.io/easyhec

Journal ref IEEE Robotics and Automation Letters 8 (2023) 7234 - 7241

Monocular UAV Localisation with Deep Learning and Uncertainty Propagation

Xueyan Oh, Ryan Lim, Leonard Loh, Chee How Tan, Shaohui Foong, U-Xuan Tan

Comments This paper has been accepted by IEEE Robotics and Automation Letters (Volume: 7, Issue: 3, July 2022) with DOI: https://doi.org/10.1109/LRA.2022.3186750