IEEE RA-L

Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

Oliver Limoyo, Bryan Chan, Filip Marić, Brandon Wagstaff, Rupam Mahmood, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Intelligent Robots and Systems (IROS'20), Las Vegas, USA, October 25-29, 2020

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, pp. 6654-6661, Oct. 2020

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

Christopher E. Denniston, Yun Chang, Andrzej Reinke, Kamak Ebadi, Gaurav S. Sukhatme, Luca Carlone, Benjamin Morrell, Ali-akbar Agha-mohammadi

Comments 8 pages, Accepted to RA-L/IROS 2022

Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving

Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan

Comments IEEE Robotics and Automation Letters 2022 (RA-L with IROS option)

Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR Odometry

Chongjian Yuan, Wei xu, Xiyuan Liu, Xiaoping Hong, Fu Zhang

Comments 8 pages, 2022 RA-L/ 2022 IEEE IROS

Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones

I Made Aswin Nahrendra, Christian Tirtawardhana, Byeongho Yu, Eungchang Mason Lee, Hyun Myung

Comments 8 pages, RA-L accepted

Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion

Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P. -W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo

Journal ref IEEE Robotics and Automation Letters, June, 2022

Distributionally Robust Policy Learning via Adversarial Environment Generation

Allen Z. Ren, Anirudha Majumdar

Comments IEEE Robotics and Automation Letters, 2022. Presented at ICRA 2022

Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss

Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 option

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1103-1110, April 2022

Multi-View Object Pose Refinement With Differentiable Renderer

Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic

Journal ref IEEE Robotics and Automation Letters, 2021

Low-Level Force-Control of MR-Hydrostatic Actuators

Jeff Denis, Jean-Sebastien Plante, Alexandre Girard

Journal ref IEEE Robotics and Automation Letters ( Volume: 6, Issue: 2, April 2021)

Convex Iteration for Distance-Geometric Inverse Kinematics

Matthew Giamou, Filip Marić, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrović, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'22), Philadelphia, USA, May 23-27, 2022

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 2, pp. 1952-1959, Apr. 2022

Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps

Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani

Comments IROS2022 and IEEE Robotics and Automation Letters (RA-L). Accepted June, 2022

3D Part Assembly Generation with Instance Encoded Transformer

Rufeng Zhang, Tao Kong, Weihao Wang, Xuan Han, Mingyu You

Comments 8 pages, 7 figures

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

Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation

Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara

Comments 8 pages, Accepted by Robotics and Automation Letters

Learning Matchable Image Transformations for Long-term Metric Visual Localization

Lee Clement, Mona Gridseth, Justin Tomasi, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'20), Paris, France, May 31-June 4, 2020

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, pp. 1492-1499, Apr. 2020

DPC-Net: Deep Pose Correction for Visual Localization

Valentin Peretroukhin, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'18), Brisbane, Australia, May 21-25, 2018

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 3, pp. 2424-2431, Jul. 2018

HiPE: Hierarchical Initialization for Pose Graphs

Tiziano Guadagnino, Luca Di Giammarino, Giorgio Grisetti

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 287-294, Jan. 2022

Mapping Mid-air Haptics with a Low-cost Tactile Robot

Noor Alakhawand, William Frier, Nathan F. Lepora

Comments 8 pages. Accepted in RA-L and IROS 2022

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM

Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip

Journal ref IEEE Robotics and Automation Letters, 2022

How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change

Lee Clement, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'18), Brisbane, Australia, May 21-25, 2018

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 3, pp. 2447-2454, Jul. 2018

Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

Fangqiang Ding, Zhijun Pan, Yimin Deng, Jianning Deng, Chris Xiaoxuan Lu

Comments Copyright (c) 2022 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 (RA-L), 2022

Understanding Physical Effects for Effective Tool-use

Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

Journal ref IEEE Robotics and Automation Letters, 2022

Situational Graphs for Robot Navigation in Structured Indoor Environments

Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer, Javier Civera, Holger Voos

Comments 8 pages, 6 figures, RAL/IROS 2022

EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-fingered Robot Hands

Kelin Li, Nicholas Baron, Xian Zhang, Nicolas Rojas

Comments This paper has been accepted for publication in IEEE Robotics and Automation Letters (RA-L), and for presentation at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower

Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser

Comments Accepted to IEEE Robotics and Automation Letters (RA-L), 2022 and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. Project page: https://learning-dynamic-manipulation.cs.princeton.edu

An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions

Matías Mattamala, Nived Chebrolu, Maurice Fallon

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

Accelerating Second-Order Differential Dynamic Programming for Rigid-Body Systems

John N. Nganga, Patrick M. Wensing

Journal ref IEEE Robotics and Automation Letters. 2021 Jul 26;6(4):7659-66

Collaborative Navigation and Manipulation of a Cable-towed Load by Multiple Quadrupedal Robots

Chenyu Yang, Guo Ning Sue, Zhongyu Li, Lizhi Yang, Haotian Shen, Yufeng Chi, Akshara Rai, Jun Zeng, Koushil Sreenath

Comments Extended version of the manuscript accepted to IEEE Robotics and Automation Letters (RA-L) 2022

Stronger Together: Air-Ground Robotic Collaboration Using Semantics

Ian D. Miller, Fernando Cladera, Trey Smith, Camillo Jose Taylor, Vijay Kumar

Comments Sumbitted to RA-L and IROS

Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator

Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu

Comments Accepted by IEEE Robotics and Automation Letters (RA-L) Special Issue: Robotic Grasping and Manipulation Challenges and Progress