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1177 result(s) for “Deep Learning Methods” Page 5 of 24
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MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity
Hojun Chung, Jeongwoo Oh, Jae Seok Heo, Gunmin Lee, Songhwai Oh
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Robotic Offline RL from Internet Videos Via Value-Function Learning
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
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Microphone Pair Training for Robust Sound Source Localization with Diverse Array Configurations
Inkyu An, Guoyuan An, Taeyoung Kim, Sung-eui Yoon
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Overparametrization Helps Offline-To-Online Generalization of Closed-Loop Control from Pixels
Mathias Lechner, Ramin Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas Henzinger, Daniela Rus
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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SLAM Based on Camera-2D LiDAR Fusion
Guoyu Lu
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Unsupervised Pre-Training for 3D Leaf Instance Segmentation
Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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SK-Net: Spectral-Based Knowledge Distillation in Low-Light Thermal Imagery for Robotic Perception
Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram
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SPADES: A Realistic Spacecraft Pose Estimation Dataset Using Event Sensing
Arunkumar Rathinam, Haytam Qadadri, Djamila Aouada
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Training a Non-Cooperator to Identify Vulnerabilities and Improve Robustness for Robot Navigation
Quecheng Qiu, Xuyang Zhang, Shunyi Yao, Yu'an Chen, Guangda Chen, Bei Hua, Jianmin Ji
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WayEx: Waypoint Exploration Using a Single Demonstration
Mara Levy, Nirat Saini, Abhinav Shrivastava
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GelRoller: A Rolling Vision-based Tactile Sensor for Large Surface Reconstruction Using Self-Supervised Photometric Stereo Method
Zhiyuan Zhang, Huan Ma, Yulin Zhou, Jingjing Ji, Hua Yang
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Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
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Robust Quadrupedal Locomotion Via Risk-Averse Policy Learning
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li
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Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
Juan Antonio Barragan, Jintan Zhang, Haoying Zhou, Adnan Munawar, Peter Kazanzides
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High-Throughput Visual Nano-Drone to Nano-Drone Relative Localization Using Onboard Fully Convolutional Networks
Luca Crupi, Alessandro Giusti, Daniele Palossi
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Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
Eleftherios Triantafyllidis, Filippos Christianos, Zhibin (Alex) Li
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Generalized Correspondence Matching Via Flexible Hierarchical Refinement and Patch Descriptor Distillation
Yu Han, Ziwei Long, Yanting Zhang, Wu Jin, Zhijun Fang, Rui Fan
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Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images
David Benjamin Adrian, Andras Kupcsik, Markus Spies, Heiko Neumann
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Learning Dual-Arm Object Rearrangement for Cartesian Robots
Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, YONGJUN WANG, Ruizhen Hu, Kai Xu
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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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Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, Junbo Tan, xueqian WANG
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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The GOOSE Dataset for Perception in Unstructured Environments
Peter Mortimer, Raphael Hagmanns, Miguel Granero, Thorsten Luettel, Janko Petereit, Hans Joachim Joe Wuensche
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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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ASP-LED: Learning Ambiguity-Aware Structural Priors for Joint Low-Light Enhancement and Deblurring
Jing Ye, Yang Liu, Congjing Yu, Changzhen Qiu, Zhiyong Zhang
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Towards Learning-Based Planning: The nuPlan Benchmark for Real-World Autonomous Driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, Holger Caesar
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Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Fast Force-Closure Grasp Synthesis with Learning-Based Sampling
Wei Xu, Weichao Guo, Xu Shi, Xinjun Sheng, Xiangyang Zhu
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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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Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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Learning Adaptive Policies for Autonomous Excavation under Various Soil Conditions by Adversarial Domain Sampling
Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada
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Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Shihao Feng, Pengpeng Liang, Jin Gao, Erkang Cheng
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Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
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Goal-Conditioned Reinforcement Learning with Disentanglement-Based Reachability Planning
Zhifeng Qian, YOU MINGYU, Zhou Hongjun, Xuanhui Xu, Bin He
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Convolutional Vision Transformer As a Path Following Controller for Omnidirectional Robots
Sandesh Athni Hiremath, ChengYi Huang, Argtim Tika, Naim Bajcinca
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Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-Based Social Robot Navigation
Sara Pohland, Alvin Tan, Prabal Dutta, Claire Tomlin
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Design and Implementation of a Robotized Hand-Held Dissector for Endoscopic Pulmonary Endarterectomy
Runfeng ZHU, Xilong Hou, Wei Huang, Lei Du, Zhong Wu, Hongbin Liu, Henry Chu, Qing xiang Zhao
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Reinforcement Learning for Freeform Robot Design
Muhan Li, David Matthews, Sam Kriegman
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Sensorless Transparency Optimized Haptic Teleoperation on the Da Vinci Research Kit
Nural Yilmaz, Brendan Burkhart, Anton Deguet, Peter Kazanzides, Ugur Tumerdem
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Efficient and Differentiable Joint Conditional Prediction and Cost Evaluation for Tree-Structured Planning in Autonomous Driving
Zhiyu Huang, Peter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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