IEEE RA-L

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input

Jung-Su Ha, Danny Driess, Marc Toussaint

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

DoRO: Disambiguation of referred object for embodied agents

Pradip Pramanick, Chayan Sarkar, Sayan Paul, Ruddra dev Roychoudhury, Brojeshwar Bhowmick

Comments Accepted in IEEE Robotics & Automation Letters (RA-L)

PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing

Huy Xuan Pham, Andriy Sarabakha, Mykola Odnoshyvkin, Erdal Kayacan

Comments accepted for publication by IEEE RA-L/IROS 2022

Robot-Assisted Drilling on Curved Surfaces with Haptic Guidance under Adaptive Admittance Control

Alireza Madani, Pouya P. Niaz, Berk Guler, Yusuf Aydin, Cagatay Basdogan

Comments RA-L IROS 2022

DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator

Sirui Chen, Yunhao Liu, Jialong Li, Shang Wen Yao, Tingxiang Fan, Jia Pan

Comments 8 pages 9 figures

Journal ref IEEE Robotics and Automation Letters, 2022

Learning Deformable Object Manipulation from Expert Demonstrations

Gautam Salhotra, I-Chun Arthur Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme

Comments Accepted to IEEE Robotics & Automation Letters (RA-L) and IEEE IROS 2022. Project website: https://uscresl.github.io/dmfd

Journal ref IEEE Robotics & Automation Letters (RA-L) Oct 2022

Time-Optimal Online Replanning for Agile Quadrotor Flight

Angel Romero, Robert Penicka, Davide Scaramuzza

Comments 8 pages, 10 figures

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7730-7737, July 2022

TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors

Jingxi Xu, Shuran Song, Matei Ciocarlie

Comments Accepted to Robotics and Automation Letters (RA-L) and International Conference on Intelligent Robots and Systems (IROS) 2022

A Shared Autonomy Reconfigurable Control Framework for Telemanipulation of Multi-arm Systems

Idil Ozdamar, Marco Laghi, Giorgio Grioli, Arash Ajoudani, Manuel G. Catalano, Antonio Bicchi

Comments 8 pages, 8 figures, accepted to IEEE Robotics and Automation Letters, for associated video, see https://youtu.be/zef-86tK8xU

Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments

Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang

Comments Accepted for publication in the IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, 2022

Incrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning

Yichang Feng, Jin Wang, Haiyun Zhang, Guodong Lu

Journal ref IEEE Robotics and Automation Letters, 2022

Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements

Mohammed Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

Comments 7 pages, 10 figures, published in IEEE Robotics and Automation Letters

Journal ref in IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4955 - 4961, July 2021

DigiTac: A DIGIT-TacTip Hybrid Tactile Sensor for Comparing Low-Cost High-Resolution Robot Touch

Nathan F. Lepora, Yijiong Lin, Ben Money-Coomes, John Lloyd

Comments 7 pages. Published in RA-L and accepted in IROS 2022

Journal ref IEEE Robotics and Automation Letters, 2022

Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy

Ihab S. Mohamed, Kai Yin, Lantao Liu

Comments This paper has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L) and will be presented at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). It has 8 pages, 7 figures, 3 tables

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving

Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng

Comments 2022 IEEE Robotics and Automation Letters (RA-L) (The extended abstract is presented at 2021 IEEE International Conference on Computer Vision (ICCV) Simulation Technology for Embodied AI Workshop)

Multi-AGV's Temporal Memory-based RRT Exploration in Unknown Environment

Billy Pik Lik Lau, Brandon Jin Yang Ong, Leonard Kin Yung Loh, Ran Liu, Chau Yuen, Gim Song Soh, U-Xuan Tan

Comments 8 pages, 10 Figures

Journal ref IEEE Robotics and Automation Letters 2022

Validating Robotics Simulators on Real-World Impacts

Brian Acosta, William Yang, Michael Posa

Comments 8 pages, 6 figures, Accepted to IROS + RAL 2022

Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning

Lukas Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson

Comments Accepted for IEEE RA-L. Open-source code: https://github.com/ethz-asl/cvae_exploration_planning, 8 pages, 12 figures

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7810-7817, July 2022

TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics

Taekyung Kim, Hojin Lee, Seongil Hong, Wonsuk Lee

Comments Accepted to IEEE Robotics and Automation Letters (and IROS 2022). Our video can be found at https://youtu.be/YQG0yHE5jWw

Journal ref IEEE Robotics and Automation Letters, 2022

Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments

Linh Kästner, Teham Bhuiyan, Tuan Anh Le, Elias Treis, Johannes Cox, Boris Meinardus, Jacek Kmiecik, Reyk Carstens, Duc Pichel, Bassel Fatloun, Niloufar Khorsandi, Jens Lambrecht

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

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Oier Mees, Lukas Hermann, Erick Rosete-Beas, Wolfram Burgard

Comments Accepted for publication at IEEE Robotics and Automation Letters (RAL). Code, models and dataset available at http://calvin.cs.uni-freiburg.de

Multi-Robot Object Transport Motion Planning with a Deformable Sheet

Jiawei Hu, Wenhang Liu, Heng Zhang, Jingang Yi, Zhenhua Xiong

Comments 8 pages, 10 figures, accepted by RAL&CASE 2022 in June 24, 2022

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation

Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo

Comments 8 pages, 9 figures, Accepted by RAL-CASE2022

SDFEst: Categorical Pose and Shape Estimation of Objects from RGB-D using Signed Distance Fields

Leonard Bruns, Patric Jensfelt

Comments Accepted to IEEE Robotics and Automation Letters (and IROS 2022). Project page: https://github.com/roym899/sdfest

Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, Tobias Fischer

Journal ref IEEE Robotics and Automation Letters 2022, vol. 7, no. 3, pp. 8291-8298

Lifelong Topological Visual Navigation

Rey Reza Wiyatno, Anqi Xu, Liam Paull

Comments This paper has been accepted to IEEE Robotics and Automation Letters (RA-L) and International Conference on Intelligent Robots and Systems (IROS) 2022. Project page: https://montrealrobotics.ca/ltvn/

On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion

Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'22), Kyoto, Japan, Oct. 23-27, 2022

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 3, pp. 6766 - 6773, Jul. 2022

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching

Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly

Comments In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'21), Xi'an, China, May 30-Jun. 5, 2021

Journal ref IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, pp. 2028-2035, Apr. 2021

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