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ICRA 2023

1655 papers · 0 AI summaries · 2023

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814 result(s) for “Deep Learning Methods” Page 3 of 17
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Tree-Structured Policy Planning with Learned Behavior Models
Yuxiao Chen, Peter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
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Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang LEI, Jaesik Park, Qifeng Chen
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Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing
WEN FAN, Max Yang, Yifan Xing, Nathan Lepora, Dandan Zhang
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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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UPLIFT: Unsupervised Person Labeling and Identification Via Cooperative Learning with Mobile Robots
Yu-Chee Tseng, Ting-Yuan Ke, Fang-Jing Wu
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Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards
Ruihua Han, Shengduo Chen, Shuaijun Wang, Zeqing Zhang, Rui Gao, QI HAO, Jia Pan
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Learning Setup Policies: Reliable Transition between Locomotion Behaviours
Tidd, Brendan,Leitner, Jurgen,Cosgun, Akansel,Hudson, Nicolas
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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Siddhant Gangapurwala, luigi campanaro, Ioannis Havoutis
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PedFormer: Pedestrian Behavior Prediction Via Cross-Modal Attention Modulation and Gated Multitask Learning
Amir Rasouli, Iuliia Kotseruba
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Interactive Object Segmentation in 3D Point Clouds
Theodora Kontogianni, Ekin Celikkan, Siyu Tang, Konrad Schindler
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Real-Time Estimation of Walking Speed and Stride Length Using an IMU Embedded in a Robotic Hip Exoskeleton
Keehong Seo
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Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li, Haozhe Lei, Quanyan Zhu
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Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang, Hongzhuo Liang, Lin Cong, Jianzhi Lyu, Long Zeng, Pingfa Feng, Jianwei Zhang
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Speeding up Assembly Sequence Planning through Learning Removability Probabilities
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
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Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian Ratliff, Byron Boots, Joshua R. Smith
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Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning
Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff Schneider
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Dense Depth Completion Based on Multi-Scale Confidence and Self-Attention Mechanism for Intestinal Endoscopy
Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Zhigui Zuo, Weiguo Sheng
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Learning-Based Fabric Folding and Box Wrapping
Xiaoman Wang, Jie Zhao, Xin Jiang, Yunhui Liu
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Balancing Efficiency and Unpredictability in Multi-Robot Patrolling: A MARL-Based Approach
Lingxiao Guo, Haoxuan Pan, Xiaoming Duan, Jianping He
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Reuse Your Features: Unifying Retrieval and Feature-Metric Alignment
Javier Morlana, J.M.M Montiel
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Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback
Robin Mieling, Maximilian Neidhardt, Sarah Latus, Carolin Stapper, Stefan Gerlach, Inga Kniep, Axel Heinemann, Benjamin Ondruschka, Alexander Schlaefer
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LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations
Kong Yao Chee, M. Ani Hsieh
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Sim-To-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model
Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, J.W Grizzle, Jeffrey Walls, Ayoung Kim, Ryan Eustice, Maani Ghaffari
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RGB-Event Fusion for Moving Object Detection in Autonomous Driving
Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Cédric Demonceaux, Dominique Ginhac
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Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Xingyu Zhu, Xin Wang, Jonathan Freer, Hyung Jin Chang, Yixing Gao
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A Probabilistic Rotation Representation for Symmetric Shapes with an Efficiently Computable Bingham Loss Function
Hiroya Sato, Takuya Ikeda, Koichi Nishiwaki
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Bridging the Domain Gap for Multi-Agent Perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, Jiaqi Ma
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Haptic-Based and SE(3)-Aware Object Insertion Using Compliant Hands
Osher Azulay, Maxim Monastirsky, Avishai Sintov
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CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration
Abhinav Keshari, Hanwen Ren, Ahmed H. Qureshi
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Combining Scene Coordinate Regression and Absolute Pose Regression for Visual Relocalization
Jiahao Ruan, Li He, Yisheng Guan, Hong Zhang
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Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
Yan Wang, Gautham Vasan, Rupam Mahmood
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Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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Experimental Workflow Implementation for Automatic Detection of Filament Deviation in 3D Robotic Printing Process
Xinrui YANG, Othman Lakhal, Abdelkader BELAROUCI, Kamal Youcef-Toumi, Rochdi Merzouki
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Transparent Objects: A Corner Case in Stereo Matching
Zhiyuan Wu, Shuai Su, Qijun Chen, Rui Fan
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Stereo Plane R-CNN: Accurate Scene Geometry Reconstruction Using Planar Segments and Camera-Agnostic Representation
Jan Wietrzykowski, Dominik Belter
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Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
Takeru Oba, Norimichi UKITA
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ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
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Congestion Prediction for Large Fleets of Mobile Robots
Ge Yu, Michael Wolf
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Maplab 2.0 - A Modular and Multi-Modal Mapping Framework
Andrei Cramariuc, Lukas Bernreiter, Florian Tschopp, Marius Fehr, Victor Reijgwart, Juan Nieto, Roland Siegwart, Cesar Cadena Lerma
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Improving Robot Navigation in Crowded Environments Using Intrinsic Rewards
Diego Martinez-Baselga, Luis Riazuelo, Luis Montano
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FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions from Single Panoramas
Bruno Berenguel-Baeta, Jesús Bermúdez, Josechu Guerrero
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EFTrack: A Lightweight Siamese Network for Aerial Object Tracking
Wenqi Zhang, Yuan Yao, Xincheng Liu, Kai Kou, Gang Yang
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UDepth: Fast Monocular Depth Estimation for Visually-Guided Underwater Robots
Boxiao Yu, Jiayi Wu, Md Jahidul Islam
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Occlusion-Aware Crowd Navigation Using People As Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
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Atomic-Level Tracking and Analyzing of Quantum-Dot Motion Steered by an Electrostatic Field Positioned by a Nanorobotic Manipulation Tip
Zhi QU, Zhang WENQI, Lixin Dong
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