IEEE RA-L

Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation

Jie Xiang, Yun Wang, Lifeng An, Haiyang Liu, Jian Liu

Comments Accepted for publication in the IEEE Robotics and Automation Letters (RA-L). 8 pages, 3figures

Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection

Nicolas Harvey Chapman, Feras Dayoub, Will Browne, Christopher Lehnert

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 5084-5091, Aug. 2023

Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms

Carter Sifferman, Yeping Wang, Mohit Gupta, Michael Gleicher

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

Snapp: An Agile Robotic Fish with 3-D Maneuverability for Open Water Swim

Timothy J. K. Ng, Nan Chen, Fu Zhang

Comments 8 pages, 17 figures, to be publish in IEEE Robotics and Automation Letters The accompanying video can be found at this link: https://youtu.be/1bGmlN0Jriw

Learning to Search in Task and Motion Planning with Streams

Mohamed Khodeir, Ben Agro, Florian Shkurti

Comments RAL Camera-Ready

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 4, pp. 1983-1990

Multi-Modal Multi-Task (3MT) Road Segmentation

Erkan Milli, Özgür Erkent, Asım Egemen Yılmaz

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 9, pp. 5408-5415, Sept. 2023

LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation

Shuo Cheng, Danfei Xu

Comments Accepted to RA-L 2023

CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation

Aly Magassouba, Komei Sugiura, Hisashi Kawai

Comments 8 pages, 5 figures, 5 tables. Submitted to IEEE Robotics and Automation Letters

Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds

Stefano Gasperini, Mohammad-Ali Nikouei Mahani, Alvaro Marcos-Ramiro, Nassir Navab, Federico Tombari

Comments Preprint of IEEE RA-L article

Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces

Ahmet Tekden, Marc Peter Deisenroth, Yasemin Bekiroglu

Comments Accepted by IEEE RAL. 8 pages, 6 figures, 3 tables

Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy

Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar

Comments Xu Liu and Guilherme V. Nardari contributed equally to this work

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

Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics

Jingtao Tang, Hang Ma

Comments Accepted to RA-L

Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks

Jingtao Tang, Yuan Gao, Tin Lun Lam

Journal ref IEEE Robotics and Automation Letters, 7(4), 12315-12322, 2022

Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Unit Quaternion Observation Space

Michele Ginesi, Paolo Fiorini

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

DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving

Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 4887-4894, Aug. 2023

Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

Yang Lu, Xinglong Zhang, Xin Xu, Weijia Yao

Comments 10 pages, 12 figures, submitted to RAL

Nonlinear Subsystem-based Adaptive Impedance Control of Physical Human-Robot-Environment Interaction in Contact-rich Tasks

Mahdi Hejrati, Jouni Mattila

Comments This work has been accepted for publication by the IEEE Robotics and Automation Letters

Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition using Kinematic Data

Kay Hutchinson, Ian Reyes, Zongyu Li, Homa Alemzadeh

Comments 8 pages, 4 figures, 6 tables. To be published in IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 5132-5139, Aug. 2023

Chance-Constrained Multi-Robot Motion Planning under Gaussian Uncertainties

Anne Theurkauf, Justin Kottinger, Nisar Ahmed, Morteza Lahijanian

Comments Submitted to Robotics and Automation Letters in July 2023

A Homotopy Invariant Based on Convex Dissection Topology and a Distance Optimal Path Planning Algorithm

Jinyuan Liu, Minglei Fu, Andong Liu, Wenan Zhang, Bo Chen

Comments Please note that the letter version of this paper is currently under review by IEEE Robotics and Automation Letters (RA-L). In comparison to the letter version, this full version provides more rigorous proofs and reasoning for the CDT encoder, along with numerous practical theorems and corollaries. The complete paper consists of 17 pages, 14 figures, and 7 tables

Biomimetic Evaluation of an Underwater Soft Hand Through Deep Learning-based 3D Pose Reconstruction

Haihang Wang, He Xu, Yihan Meng

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

Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning

Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara

Comments 8 pages, Accepted by Robotics and Automation Letters

FDCT: Fast Depth Completion for Transparent Objects

Tianan Li, Zhehan Chen, Huan Liu, Chen Wang

Comments 9pages,7figures

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

Attentive Multimodal Fusion for Optical and Scene Flow

Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan

Comments This work is accepted for publication in IEEE Robotics and Automation Letters

Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach

Sandika Biswas, Kejie Li, Biplab Banerjee, Subhasis Chaudhuri, Hamid Rezatofighi

Comments Accepted in RAL 2023

On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts

Yuquan Wang, Niels Dehio, Abderrahmane Kheddar

Journal ref IEEE Robotics and Automation Letters (2022) 3648-3655

Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing

Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan F. Lepora

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

Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks

Sajjad Mozaffari, Mreza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati

Comments 8 pages, 3 figures, submitted to IEEE RAL

Path and trajectory planning of a tethered UAV-UGV marsupial robotic system

S. Martínez-Rozas, D. Alejo, F. Caballero, L. Merino

Comments 8 pages, 4 figures, 3 tables. Version accepted in IEEE-Robotics and Automation Letters. "Copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses..."

Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images

Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu

Comments Submissions to the IEEE Robotics and Automation Letters (RA-L), Project Page: https://lty2226262.github.io/car-studio/