IEEE RA-L

RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM with Neural Radiance Fields

Haochen Jiang, Yueming Xu, Kejie Li, Jianfeng Feng, Li Zhang

Comments IEEE RAL 2024

Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration

Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa

Comments IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 8, pp. 6904-6911, Aug. 2024

SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs

Zhigang Sun, Zixu Wang, Lavdim Halilaj, Juergen Luettin

Comments 8 pages, 7 figures, has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L)

Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information

Ruofei Bai, Hongliang Guo, Wei-Yun Yau, Lihua Xie

Comments 8 pages, 6 figures. Accepted by IEEE RA-L for publication

Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data

Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano

Journal ref IEEE Robotics and Automation Letters, 2024

CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services

DongKi Noh, Hyungtae Lim, Gyuho Eoh, Duckyu Choi, Jeongsik Choi, Hyunjun Lim, SeungMin Baek, Hyun Myung

Journal ref IEEE Robotics and Automation Letters, 2024

Musculoskeletal AutoEncoder: A Unified Online Acquisition Method of Intersensory Networks for State Estimation, Control, and Simulation of Musculoskeletal Humanoids

Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba

Comments Accepted at IEEE Robotics and Automation Letters

XBG: End-to-end Imitation Learning for Autonomous Behaviour in Human-Robot Interaction and Collaboration

Carlos Cardenas-Perez, Giulio Romualdi, Mohamed Elobaid, Stefano Dafarra, Giuseppe L'Erario, Silvio Traversaro, Pietro Morerio, Alessio Del Bue, Daniele Pucci

Comments Submitted to RA-L https://ami-iit.github.io/xbg/

Logic Learning from Demonstrations for Multi-step Manipulation Tasks in Dynamic Environments

Yan Zhang, Teng Xue, Amirreza Razmjoo, Sylvain Calinon

Comments Accepted by IEEE RA-L

Hysteresis Compensation of Flexible Continuum Manipulator using RGBD Sensing and Temporal Convolutional Network

Junhyun Park, Seonghyeok Jang, Hyojae Park, Seongjun Bae, Minho Hwang

Comments 8 pages, 11 figures, 5 tables

Journal ref IEEE Robotics and Automation Letters, Volume 9, Issue 7, 6091 - 6098, 2024

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks

Heng Zhang, Gokhan Solak, Gustavo J. G. Lahr, Arash Ajoudani

Comments Accepted by IEEE RA-L,video is available at https://youtu.be/ksWXR3vByoQ

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5631-5638, June 2024

Estimating Map Completeness in Robot Exploration

Matteo Luperto, Marco Maria Ferrara, Giacomo Boracchi, Francesco Amigoni

Comments Under review at IEEE RAL

Under-Canopy Navigation using Aerial Lidar Maps

Lucas Carvalho de Lima, Nicholas Lawrance, Kasra Khosoussi, Paulo Borges, Michael Bruenig

Comments To appear in IEEE Robotics and Automation Letters (RA-L) 2024

Force Push: Robust Single-Point Pushing with Force Feedback

Adam Heins, Angela P. Schoellig

Comments 8 pages, 14 figures; published in IEEE Robotics and Automation Letters (RA-L). arXiv admin note: text overlap with arXiv:2305.11048

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan

Comments IEEE Robotics and Automation Letters

Language Models as Zero-Shot Trajectory Generators

Teyun Kwon, Norman Di Palo, Edward Johns

Comments Published in IEEE Robotics and Automation Letters (Volume: 9, Issue: 7, July 2024, Pages: 6728-6735); 10 pages, 12 figures

Journal ref IEEE Robotics and Automation Letters (Volume: 9, Issue: 7, July 2024, Pages: 6728-6735)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions

Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer

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

Beyond the Frontier: Predicting Unseen Walls from Occupancy Grids by Learning from Floor Plans

Ludvig Ericson, Patric Jensfelt

Comments RA-L, 8 pages

Journal ref IEEE Robotics and Automation Letters (2024) pp. 2377-3766

Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor Environment

Taekbeom Lee, Youngseok Jang, H. Jin Kim

Comments RA-L. 8 pages, 8 figures, 4 tables

A Neck Orthosis with Multi-Directional Variable Stiffness for Persons with Dropped Head Syndrome

Santiago Price Torrendell, Hideki Kadone, Modar Hassan, Yang Chen, Kousei Miura, Kenji Suzuki

Comments Accepted Manuscript

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 7, pp. 6224-6231, July 2024

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery

Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich

Journal ref IEEE Robotics and Automation Letters 8 (2023) 560-567

A preprocessing-based planning framework for utilizing contacts in high-precision insertion tasks

Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev

Comments \c{opyright} 2023 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 IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 6947-6954, Nov. 2023

Multi-Vehicle Trajectory Planning at V2I-enabled Intersections based on Correlated Equilibrium

Wenyuan Wang, Peng Yi, Yiguang Hong

Comments 8 pages,12 figures,Submission to IEEE Robotics and Automation Letters

RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning

Federico Ceola, Lorenzo Rosasco, Lorenzo Natale

Comments IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters 9(4), April 2024

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects

Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich

Journal ref IEEE Robotics and Automation Letters 9 (2024) 5338-5345

Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems

Jihao Huang, Jun Zeng, Xuemin Chi, Koushil Sreenath, Zhitao Liu, Hongye Su

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) 2023, with open source repository released

Correspondence learning between morphologically different robots via task demonstrations

Hakan Aktas, Yukie Nagai, Minoru Asada, Erhan Oztop, Emre Ugur

Comments 8 pages, 12 figures, Submitted to IEEE Robotics Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters ( Volume: 9, Issue: 5, May 2024)

Eigen Is All You Need: Efficient Lidar-Inertial Continuous-Time Odometry with Internal Association

Thien-Minh Nguyen, Xinhang Xu, Tongxing Jin, Yizhuo Yang, Jianping Li, Shenghai Yuan, Lihua Xie

Comments IEEE Robotics and Automation Letters

Redundancy-aware Action Spaces for Robot Learning

Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James

Comments Published in the RA-L journal

Enhanced Model-Free Dynamic State Estimation for a Soft Robot Finger Using an Embedded Optical Waveguide Sensor

Henrik Krauss, Kenjiro Takemura

Comments Accepted for publication in IEEE Robotics and Automation Letters (RA-L) 2024

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 7, pp. 6123-6129, July 2024