IEEE RA-L

Learning Off-Road Terrain Traversability with Self-Supervisions Only

Junwon Seo, Sungdae Sim, Inwook Shim

Comments Accepted to IEEE Robotics and Automation Letters. Our video can be found at https://bit.ly/3YdKanw

Journal ref IEEE Robotics and Automation Letters, 8.8 (2023):4617-4624

Optimizing Task Waiting Times in Dynamic Vehicle Routing

Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith

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

Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms

Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll

Journal ref IEEE Robotics and Automation Letters (Volume: 8, Issue: 4, April 2023)

Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning

Zhifeng Qian, Mingyu You, Hongjun Zhou, Xuanhui Xu, Bin He

Comments Accepted by 2023 RAL with ICRA

Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles

Alexandre Almin, Léo Lemarié, Anh Duong, B Ravi Kiran

Comments Accepted version to IEEE RA-L. Version with supplementary materials

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation

Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 5180-5187, Aug. 2023

Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning

Hao Zhang, Hao Wang, Zhen Kan

Comments IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, 2023

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

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

Bi-Touch: Bimanual Tactile Manipulation with Sim-to-Real Deep Reinforcement Learning

Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan F. Lepora

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

Learning to Dexterously Pick or Separate Tangled-Prone Objects for Industrial Bin Picking

Xinyi Zhang, Yukiyasu Domae, Weiwei Wan, Kensuke Harada

Comments 8 pages, IEEE RA-L, 2023

SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding

Qiushi Lin, Hang Ma

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

Learning to Predict Navigational Patterns from Partial Observations

Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

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

Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics

Pan Zhao, Arun Lakshmanan, Kasey Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan

Comments Extended version of a paper published in IEEE Robotics and Automation Letters (2022). 13 pages, 6 figures

Teachers in concordance for pseudo-labeling of 3D sequential data

Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Perez, Tomáš Svoboda

Comments This work has been submitted to the IEEE for publication

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 2, pp. 536-543, Feb. 2023

Fault Tolerant Free Gait and Footstep Planning for Hexapod Robot Based on Monte-Carlo Tree

Liang Ding, Peng Xu, Haibo Gao, Zhikai Wang, Ruyi Zhou, Zhaopei Gong, Guangjun Liu

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 2, April 2022)

SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation

Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

Comments Accepted at the IEEE Robotics and Automation Letters (RA-L) 2023

Projection-based first-order constrained optimization solver for robotics

Hakan Girgin, Tobias Löw, Teng Xue, Sylvain Calinon

Comments 8 pages, 7 figures, submitted to Robotics and Automation Letters

STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking

Yubo Cui, Zhiheng Li, Zheng Fang

Comments Accepted for publication at IEEE Robotics and Automation Letters (RAL)

TacMMs: Tactile Mobile Manipulators for Warehouse Automation

Zhuochao He, Xuyang Zhang, Simon Jones, Sabine Hauert, Dandan Zhang, Nathan F. Lepora

Comments 8 pages, accepted in IEEE Robotics and Automation Letters, 19 June 2023

Energy-based Detection of Adverse Weather Effects in LiDAR Data

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

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

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

Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints

Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe

Comments 8 pages, 7 figures, accepted to Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters 8(8) (2023) 4449-4456

Sim-to-Real Surgical Robot Learning and Autonomous Planning for Internal Tissue Points Manipulation using Reinforcement Learning

Yafei Ou, Mahdi Tavakoli

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 5, pp. 2502-2509, May 2023

Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation

Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong

Journal ref The IEEE Robotics and Automation Letters 2023

Concavity-Induced Distance for Unoriented Point Cloud Decomposition

Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan, Dong Tian, Chen Feng

Comments 8 pages, 8 figures, accepted by IEEE Robotics and Automation Letters

Perspective Aware Road Obstacle Detection

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

Journal ref IEEE Robotics and Automation Letters ( Volume: 8, Issue: 4, April 2023, Pages: 2150-2157)

A Framework for Learning from Demonstration with Minimal Human Effort

Marc Rigter, Bruno Lacerda, Nick Hawes

Comments Preprint version of IEEE Robotics and Automation Letters paper

CCL: Continual Contrastive Learning for LiDAR Place Recognition

Jiafeng Cui, Xieyuanli Chen

Comments Accepted by IEEE RA-L in 2023

Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning

Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani

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

Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs

Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon

Comments Accepted to Robotics and Automation Letters

Continuous-Time Ultra-Wideband-Inertial Fusion

Kailai Li, Ziyu Cao, Uwe D. Hanebeck

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L). Open-source code at: https://github.com/KIT-ISAS/SFUISE