ICRA

It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying

Eley Ng, Ziang Liu, Monroe Kennedy

Comments IEEE International Conference on Robotics and Automation (ICRA) 2023. Supplementary materials at https://sites.google.com/view/cooperative-carrying

Design of a Multimodal Fingertip Sensor for Dynamic Manipulation

Andrew SaLoutos, Elijah Stanger-Jones, Menglong Guo, Hongmin Kim, Sangbae Kim

Comments 6 pages, 2 pages of references, supplementary video at https://youtu.be/6Ph-cNJyJYQ. Appearing at ICRA 2023

Towards Robust Autonomous Grasping with Reflexes Using High-Bandwidth Sensing and Actuation

Andrew SaLoutos, Hongmin Kim, Elijah Stanger-Jones, Menglong Guo, Sangbae Kim

Comments 6 pages, 1 page of references, supplementary video at https://youtu.be/f8Coo02Jvdg. Appearing at ICRA 2023

TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact

Levi Burner, Nitin J. Sanket, Cornelia Fermüller, Yiannis Aloimonos

Comments 19 pages, 24 figures, 1 table. To be published in ICRA 2023

Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction

Kenny Chen, Ryan Nemiroff, Brett T. Lopez

Comments IEEE International Conference on Robotics and Automation (ICRA) 2023. Video: https://www.youtube.com/watch?v=4-oXjG8ow10

Simultaneous Tactile Estimation and Control of Extrinsic Contact

Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez

Comments 2023 International Conference on Robotics and Automation (ICRA)

Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space

Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner

Comments Project website: https://amp-ls.github.io/

Journal ref IEEE International Conference on Robotics and Automation (ICRA), 2023

Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing

Wen Fan, Max Yang, Yifan Xing, Nathan F. Lepora, Dandan Zhang

Comments 7 pages, 10 figures, accepted by 2023 IEEE International Conference on Robotics and Automation (ICRA)

Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields

Cedric Le Gentil, Ignacio Alzugaray, Teresa Vidal-Calleja

Comments Accepted for presentation at the 2023 IEEE International Conference on Robotics and Automation

CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads

Varun Gupta, Anbumani Subramanian, C. V. Jawahar, Rohit Saluja

Comments International Conference on Robotics and Automation (ICRA'23)

GenDexGrasp: Generalizable Dexterous Grasping

Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang

Comments Accepted to ICRA 2023 (camera-ready version)

Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning

Chong Zhang, Lizhi Yang

Comments 7 pages, 7 figures. IEEE ICRA 2023

Learning Visual-Audio Representations for Voice-Controlled Robots

Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Driggs-Campbell

Comments Published in ICRA 2023

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao

Comments ICRA 2023

Probabilistic Contact State Estimation for Legged Robots using Inertial Information

Michael Maravgakis, Despina-Ekaterini Argiropoulos, Stylianos Piperakis, Panos Trahanias

Comments Accepted for publication at ICRA 2023, 7 pages, 10 figures

Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations

Cheng-Wei Lin, Tung-I Chen, Hsin-Ying Lee, Wen-Chin Chen, Winston H. Hsu

Comments ICRA 2023

Trajectory and Sway Prediction Towards Fall Prevention

Weizhuo Wang, Michael Raitor, Steve Collins, C. Karen Liu, Monroe Kennedy

Comments 6 pages + 1 page reference, 11 figures. Accepted by ICRA 2023

A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization

João Silvério, Yanlong Huang

Comments To appear at ICRA'23

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks

Hongyu Li, Zhengang Li, Neset Unver Akmandor, Huaizu Jiang, Yanzhi Wang, Taskin Padir

Comments Accepted by ICRA 2023

Safe Model-based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks

Wenliang Liu, Mirai Nishioka, Calin Belta

Comments Accepted to International Conference on Robotics and Automation (ICRA) 2023

Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion

Jieqi Shi, Peiliang Li, Xiaozhi Chen, Shaojie Shen

Comments ICRA 2023

Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning

Maryam Kouzeghar, Youngbin Song, Malika Meghjani, Roland Bouffanais

Comments Accepted for ICRA 2023

Model Based Position Control of Soft Hydraulic Actuators

Mark Runciman, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, George Mylonas

Comments Final Version of Paper, updated figures and discussion. Accepted for IEEE International Conference on Robotics and Automation ICRA 2023

Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving

Jilin Mei, Junbao Zhou, Yu Hu

Comments Accepted by ICRA 2023

DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning

I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung

Comments Accepted for ICRA 2023

Learning Perception-Aware Agile Flight in Cluttered Environments

Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza

Journal ref 2023 IEEE International Conference on Robotics and Automation (ICRA)

Predicting Motion Plans for Articulating Everyday Objects

Arjun Gupta, Max E. Shepherd, Saurabh Gupta

Comments To Appear in ICRA 2023. Project webpage: https://arjung128.github.io/mpao/

iART: Learning from Demonstration for Assisted Robotic Therapy Using LSTM

Shrey Pareek, Thenkurussi Kesavadas

Comments 8 pages, 10 figures, presented at ICRA 2020

Journal ref IEEE Robotics and Automation Letters ( Volume: 5, Issue: 2, April 2020)

Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains

Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami

Comments 7 pages, 4 figures. Accepted article for presentation at the 2023 IEEE International Conference on Robotics and Automation (ICRA)

Bayesian Deep Learning for Affordance Segmentation in images

Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Jose J. Guerrero

Comments 2023 IEEE International Conference on Robotics and Automation (ICRA)