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984 result(s) for “Deep Learning Methods” Page 4 of 20
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The Effectiveness of State Representation Model in Multi-Agent Proximal Policy Optimization for Multi-Agent Path Finding
Jaehoon Chung, Jamil Fayyad, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Learning from Demonstration Framework for Multi-Robot Systems Using Interaction Keypoints and Soft Actor-Critic Methods
L.N Vishnunandan Venkatesh, Byung-Cheol Min
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A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM
Yasra Chandio, Momin Ahmad Khan, Khotso Selialia, Luis Antonio Garcia, Joseph DeGol, Fatima M Anwar
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Lane Segmentation Data Augmentation for Heavy Rain Sensor Blockage Using Realistically Translated Raindrop Images and CARLA Simulator
Jinu Pahk, Seongjeong Park, Jungseok Shim, Sungho Son, Jungki Lee, Jinung An, Yongseob Lim, GyeungHo Choi
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GesGPT: Speech Gesture Synthesis with Text Parsing from ChatGPT
Nan Gao, Zeyu Zhao, Zhi Zeng, Shuwu Zhang, Dongdong Weng, Yihua Bao
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Boosting 3D Visual Grounding by Object-Centric Referring Network
Ruilong Ren, Jian Cao, Weichen Xu, Tianhao Fu, Yilei Dong, Xinxin Xu, Zicong Hu, Xing Zhang
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Reconfigurable Robot Identification from Motion Data
Yuhang Hu, Yunzhe Wang, Ruibo Liu, Zhou Shen, Hod Lipson
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Loss Distillation Via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori Yamada, Gregory Scott Fischer, Yanhua Li, Haichong Zhang, Ziming Zhang
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Autonomous Vehicle Localization without Prior High-Definition Map
Sangmin Lee, Jee-Hwan Ryu
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Beyond Feasibility: Efficiently Planning Robotic Assembly Sequences That Minimize Assembly Path Lengths
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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Centroidal State Estimation Based on the Koopman Embedding for Dynamic Legged Locomotion
Shahram Khorshidi, Murad Elnagdi, Maren Bennewitz
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Bifurcation Identification for Ultrasound-Driven Robotic Cannulation
Cecilia Morales, Dhruv Srikanth, Jack Good, Keith Dufendach, Artur Dubrawski
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Multi-Fingered Dragging of Unknown Objects and Orientations Using Distributed Tactile Information through Vision-Transformer and LSTM
Takahisa Ueno, Satoshi Funabashi, Hiroshi Ito, Alexander Schmitz, Shardul Kulkarni, Tetsuya Ogata, Shigeki Sugano
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Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild
Luca Lobefaro, Meher Venkata Ramakrishna Malladi, Tiziano Guadagnino, Cyrill Stachniss
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EVSMap: An Efficient Volumetric-Semantic Mapping Approach for Embedded Systems
Jiyuan Qiu, Chen Jiang, Pengfei Zhang, Haowen Wang
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Sim2real Cattle Joint Estimation in 3D Pointclouds
Mohammad Okour, Alen Alempijevic, Raphael Falque
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Depth Completion Using Galerkin Attention
Yinuo Xu, Xuesong Zhang
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Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming
Yangyang Guo, Hong Wenhao, Jiaxin Wu, Xiaoping Huang, Yongliang Qiao, He Kong
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BAM: Box Abstraction Monitors for Real-Time OoD Detection in Object Detection
Changshun Wu, Weicheng HE, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
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BaSeNet: A Learning-Based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks
Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Kjærgaard Mikkel, Norbert Krüger
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WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks
Alberto Bacchin, Leonardo Barcellona, Matteo Terreran, Stefano Ghidoni, Emanuele Menegatti, Takuya Kiyokawa
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Explainable Artificial Intelligence for Autonomous UAV Navigation
Didula Dissanayaka, Thumeera Ruwansiri Wanasinghe, Raymond G. Gosine
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Real-Time Semantic Segmentation in Natural Environments with SAM-Assisted Sim-To-Real Domain Transfer
Han Wang, Ruben Mascaro, Margarita Chli, Lucas Teixeira
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DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction
Ameya Pore, Riccardo Muradore, Diego Dall'Alba
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Infrastructure-Less UWB-Based Active Relative Localization
Valerio Brunacci, Alberto Dionigi, Alessio De Angelis, Gabriele Costante
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Neural Semantic Map-Learning for Autonomous Vehicles
Markus Herb, Nassir Navab, Federico Tombari
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Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation
Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li
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A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz
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Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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LDIP: Real-Time On-Road Object Detection with Depth Estimation from a Single Image
Chengpeng Xu, Xiao Sun, Yangyang Xu, Ruolin Wang
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Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Zhaorun Chen,Zhuokai Zhao,Tairan He,BinHao Chen,Xuhao Zhao,Liang Gong,Chengliang Liu
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Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments
Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E-In Son, Se-Wook Yoo, Seung-Woo Seo
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An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics
Marios Malliaropoulos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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GraspContrast: Self-Supervised Contrastive Learning with False Negative Elimination for 6-DoF Grasp Detection
Wenshuo Wang, Haiyue Zhu, Marcelo H Ang Jr
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Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang, Hao Wang, Xiucai Huang, Wenrui Chen, Zhen Kan
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Speeding up Path Planning Via Reinforcement Learning in MCTS for Automated Parking
Xinlong Zheng, Xiaozhou Zhang, Donghao Xu
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SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybird Terrain for Mobile Robot
Andong Yang, Wei Li, Yu Hu
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Learning-On-The-Drive: Self-Supervised Adaptive Long-Range Perception for High-Speed Offroad Driving
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer
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Domain Adaptation in Visual Reinforcement Learning Via Self-Expert Imitation with Purifying Latent Feature
Lin Chen, Jianan Huang, zhen zhou, Yaonan Wang, Yang Mo, Zhiqiang Miao, Kai Zeng, Mingtao Feng, Danwei Wang
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A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
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Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization
Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu
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Learning to Place Unseen Objects Stably Using a Large-Scale Simulation
Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee
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PCDepth: Pattern-Based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
Haotian Liu, Sanqing Qu, FAN LU, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen
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PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory Chirikjian
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R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems Via Proposal Refinement
Michele Antonazzi, Matteo Luperto, N. Alberto Borghese, Nicola Basilico
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Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method
Jacket Demby's, Ramy Farag, Guilherme DeSouza
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HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control
YIFENG ZHANG, Peizhuo LI, Mingfeng Fan, Guillaume Adrien Sartoretti
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BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment
Mehdi Hosseinzadeh, Ian Reid
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Learning Temporally Composable Task Segmentations with Language
Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan
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