IEEE RA-L

Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments

Somayeh Hussaini, Michael Milford, Tobias Fischer

Comments 8 pages, 6 figures, IEEE Robotics and Automation Letters (RA-L), also accepted to IEEE International Conference on Robotics and Automation (ICRA 2022)

Journal ref IEEE Robotics and Automation Letters 2022

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

Comments 8 pages, 3 figures, Robotics and Automation Letters

Journal ref Robotics and Automation Letters, 2022

Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots

Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal

Comments Accepted to IEEE RA-L & ICRA, 2022

A Holistic Approach to Reactive Mobile Manipulation

Jesse Haviland, Niko Sünderhauf, Peter Corke

Comments IEEE Robotics and Automation Letters (RA-L). Preprint Version. Accepted January, 2022. The code and videos can be found at https://jhavl.github.io/holistic/

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3122-3129, April 2022

Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments

Robert Penicka, Davide Scaramuzza

Comments Accepted in IEEE Robotics and Automation Letters

csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps

Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang

Comments Accepted by IEEE Robotics and Automation Letters and IEEE International Conference on Robotics and Automation (ICRA) 2022

GPA-Teleoperation: Gaze Enhanced Perception-aware Safe Assistive Aerial Teleoperation

Qianhao Wang, Botao He, Zhiren Xun, Chao Xu, Fei Gao

Comments 8 pages, 13 figures, RA-L with ICRA presentation option

Where Should I Look? Optimised Gaze Control for Whole-Body Collision Avoidance in Dynamic Environments

Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis

Comments 8 pages, 11 figures, published in IEEE Robotics and Automation Letters (RA-L) and accepted for presentation at ICRA 2022

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1095-1102, April 2022

Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization

Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera

Comments Submitted to RA-L (IROS)

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade

Comments Accepted in Robotics and Automation Letters (RA-L 2022). Supplementary video available at https://youtu.be/q_XfjUDO39Y

Journal ref Robotics and Automation Letters 7(2) (2022) 2913-2920

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Stephen James, Andrew J. Davison

Comments IEEE Robotics and Automation Letters, 2022 (+ presentation at ICRA 2022). Videos and code found at: https://sites.google.com/view/q-attention

Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation

Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

Journal ref IEEE Robotics and Automation Letters (RA-L), 2022

Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction

Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Driggs-Campbell

Comments 8 pages, 6 figures, Accepted by RA-L with ICRA 2022 presentation option

Safety Embedded Differential Dynamic Programming Using Discrete Barrier States

Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou

Comments Added extensive quantitative comparisons and analysis in the implementation examples, and revised discussions and illustrations

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 7, NO. 2, APRIL 2022

Category-Association Based Similarity Matching for Novel Object Pick-and-Place Task

Hao Chen, Takuya Kiyokawa, Weiwei Wan, Kensuke Harada

Comments Published by the IEEE Robotics and Automation Letters

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration

Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu

Comments 8 pages, 6 figures, IEEE Robotics and Automation Letters (RA-L), 2022

Journal ref X. Gao, L. Yuan, T. Shu, H. Lu and S. -C. Zhu, "Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2022.3144779

AirCode: A Robust Object Encoding Method

Kuan Xu, Chen Wang, Chao Chen, Wei Wu, Sebastian Scherer

Comments IEEE Robotics and Automation Letters (RA-L), 2022

Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval

Sheng Zhong, Nima Fazeli, Dmitry Berenson

Comments 8 pages, 7 figures, 2 tables, and 3 algorithm blocks, accepted to RA-L, preprint

Learning Task-Parameterized Skills from Few Demonstrations

Jihong Zhu, Michael Gienger, Jens Kober

Comments Accepted by the IEEE Robotics and Automation Letters

Multi-Robot Collaborative Perception with Graph Neural Networks

Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno

Comments 8 pages, 10 figures, 3 tables, Accepted at the IEEE Robotics Automation Letter (RAL) and the IEEE International Conference on Robotics and Automation (ICRA), 2022

DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning

Javier Yu, Joseph A. Vincent, Mac Schwager

Comments Submitted to IEEE Robotics and Automation Letters (with conference ICRA)

Bundled Gradients through Contact via Randomized Smoothing

H. J. Terry Suh, Tao Pang, Russ Tedrake

Comments The first two authors contributed equally. Accepted to Robotics and Automation Letters (RA-L)

Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic

Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan

Comments arXiv admin note: text overlap with arXiv:2010.06797

Journal ref IEEE Robotics and Automation Letters, 2021

Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation

Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang

Comments Accepted in Robotics and Automation Letters Journal (RA-L 2022). Website at https://jangirrishabh.github.io/lookcloser .8 Pages

Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation

Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada

Comments Accepted for publication in RA-L. Video, code and models available at http://ceiling.cs.uni-freiburg.de/

Explanation-Aware Experience Replay in Rule-Dense Environments

Francesco Sovrano, Alex Raymond, Amanda Prorok

Comments To appear in IEEE Robotics and Automation Letters (IEEE RA-L). Please cite the published version

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

Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning

Maximilian Stölzle, Takahiro Miki, Levin Gerdes, Martin Azkarate, Marco Hutter

Comments 8 pages, 4 figures, accepted with IEEE Robotics and Automation Letters (RA-L)

Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning

Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae

Comments IEEE Robotics and Automation Letters (RA-L)

Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities

Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin

Comments Accepted for publication in RA-L 2022

Competence-Aware Path Planning via Introspective Perception

Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas

Comments Accepted by IEEE Robotics and Automation Letters (8 pages, 8 figures)