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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2273 result(s) for “Machine Learning for Robot Control” Page 14 of 46
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger, Hugo Tadashi Kussaba, Lingyun Chen, Luis Figueredo, Abdalla Swikir, Aude Billard, Sami Haddadin
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Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
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Multi-Agent Path Finding for Cooperative Autonomous Driving
Zhongxia Yan, Han Zheng, Cathy Wu
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TEXterity: Tactile Extrinsic DeXterity
Antonia Bronars, Sangwoon Kim, Parag Patre, Alberto Rodriguez
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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FireAntV3: A Modular Self-Reconfigurable Robot towards Free-Form Self-Assembly Using Attach-Anywhere Continuous Docks
Petras Swissler, Michael Rubenstein
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RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy
Mert Asim Karaoglu, Viktoria Markova, Nassir Navab, Benjamin Busam, Alexander Ladikos
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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Range-Visual-Inertial Sensor Fusion for Micro Aerial Vehicle Localization and Navigation
Abhishek Goudar, Wenda Zhao, Angela P. Schoellig
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SpECULARIA: Towards Fully Autonomous Robotic Indoor Farming System
Marsela Car, Barbara Arbanas Ferreira, Jelena Vuletic, Matko Orsag
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BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
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Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng
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Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning
Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan
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Toward Automated Programming for Robotic Assembly Using ChatGPT
Nicholas Cote, Annabella Macaluso, Sachin Chitta
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Force Estimation at the Bionic Soft Arm�s Tool-Center-Point during the Interaction with the Environment
Samuel Pilch, Daniel Müller, Oliver Sawodny
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TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Bi-KVIL: Keypoints-Based Visual Imitation Learning of Bimanual Manipulation Tasks
Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
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Singularity Analysis of Rigid Directed Bearing Graphs for Quadrotor Formations
Julian Erskine, Sébastien Briot, Isabelle Fantoni, Abdelhamid Chriette
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Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing, Xianghua Ying, Ruibin Wang
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Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning
Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
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Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang, Jianping He, Xiaoming Duan
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SPRINT: Scalable Policy Pre-Training Via Language Instruction Relabeling
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph Lim
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Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao
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Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups
Elena Vella, Airlie Chapman, Nir Lipovetzky
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SLIM: Skill Learning with Multiple Critics
David Emukpere, Bingbing WU, JULIEN PEREZ, Jean-Michel RENDERS
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Crossway Diffusion: Improving Diffusion-Based Visuomotor Policy Via Self-Supervised Learning
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
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Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning
Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich
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Learning to Explore Indoor Environments Using Autonomous Micro Aerial Vehicles
Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar
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Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
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A Scalable, Light-Controlled, Individually Addressable, Non-Metal Actuator Array
Sophie Paul, Matthew Devlin, Elliot Wright Hawkes
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Joint Response and Background Learning for UAV Visual Tracking
Biao Wang, Wenling Li, Bin Zhang, Yang Liu
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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
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REFORMA: Robust REinFORceMent Learning Via Adaptive Adversary for Drones Flying under Disturbances
Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
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Prompting Multi-Modal Tokens to Enhance End-To-End AutonomousDriving Imitation Learning with LLMs
YIQUN DUAN, Qiang Zhang, Renjing Xu
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang
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Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Jaehwi Jang, Minjae Song, Daehyung Park
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A Generalized Acquisition Function for Preference-Based Reward Learning
Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık
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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Wei-Jer Chang, CHEN TANG, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan
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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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Model Design and Concept of Operations of Standard Interface for On-Orbit Construction
Jingdong Zhao, Zirui Wang, Ziyi Liu, Liangliang Zhao, Qifan Duan, Hong Liu
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
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WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao
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6-DOF Grasp Pose Evaluation and Optimization Via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll, Björn Hein
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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