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814 result(s) for “Deep Learning Methods” Page 2 of 17
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Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization
Guoyu Lu
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DeepRING: Learning Roto-Translation Invariant Representation for LiDAR Based Place Recognition
Sha Lu, Xuecheng Xu, Li Tang, Rong Xiong, Yue Wang
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Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
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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
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DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles
Yongqian Xiao, Xinglong Zhang, Xin Xu, Lu Yang, Junxiang Li
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WorldGen: A Large Scale Generative Simulator
Chahat Deep Singh, Riya Kumari, Cornelia Fermuller, Nitin Sanket, Yiannis Aloimonos
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation
Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
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Edge-Guided Multi-Domain RGB-To-TIR Image Translation for Training Vision Tasks with Challenging Labels
DongGuw Lee, Myung-Hwan Jeon, Younggun Cho, Ayoung Kim
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Continuous Prediction of Leg Kinematics during Walking using Inertial Sensors, Smart Glasses, and Embedded Computing
Oleksii Tsepa, Roman Burakov, Brokoslaw Laschowski, Alex Mihailidis
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Joint Semi-Supervised and Active Learning Via 3D Consistency for 3D Object Detection
Sihwan Hwang, Sanmin Kim, YoungSeok Kim, Dongsuk Kum
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Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite
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Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen, Timothy Barfoot
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RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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Rotation Synchronization Via Deep Matrix Factorization
Tejus GK, Giacomo Zara, Paolo Rota, Andrea Fusiello, Elisa Ricci, Federica Arrigoni
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Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
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Few-Shot 3D LiDAR Semantic Segmentation for Autonomous Driving
Jilin Mei, Junbao Zhou, Yu Hu
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Cross-Domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael Phan, Vishnu Monn Baskaran, Surya G. Nurzaman
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Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers, Berthold Bäuml
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Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
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Toward Zero-Shot Sim-To-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioception Sensing
Uksang Yoo, Hanwen Zhao, Alvaro Altamirano, Wenzhen Yuan, Chen Feng
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MMDF: Multi-Modal Deep Feature Based Place Recognition of Mobile Robots with Applications on Cross-Scene Navigation
Xiang Yu, Bo Zhou, Zeqing Chang, Kun Qian, fang fang
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Multi-Object Navigation in Real Environments Using Hybrid Policies
Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf
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Sim2Real Learning of Obstacle Avoidance for Robotic Manipulators in Uncertain Environments
Tan Zhang, Kefang Zhang, Jiatao Lin, Wing-Yue Geoffrey Louie, Hui Huang
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Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception
Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, Hao Zhang
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Frontier Semantic Exploration for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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Dynamic Interactive Relation Capturing Via Scene Graph Learning for Robotic Surgical Report Generation
Hongqiu Wang, Yueming Jin, Lei Zhu
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Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
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Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC
Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven Brunton, YuFeng Chen, Jonathan How
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A Consistency-Based Loss for Deep Odometry through Uncertainty Propagation
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad, Behzad Moshiri
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CalibDepth: Unifying Depth Map Representation for Iterative LiDAR-Camera Online Calibration
Jiangtong Zhu, Jianru Xue, Pu Zhang
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Deep Neural Network Architecture Search for Accurate Visual Pose Estimation Aboard Nano-UAVs
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
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Image-Based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering
Jingpei Lu, FEI LIU, Cedric Girerd, Michael C. Yip
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Bipasha Sen, Aditya Agarwal, Gaurav Singh, Brojeshwar Bhowmick, Srinath Sridhar, Madhava Krishna
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Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, zhou kaichen, Andrew Markham, Niki Trigoni
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Bayesian Inference of Fog Visibility from LiDAR Point Clouds and Correlation with Probabilities of Detection
karl montalban, Christophe Reymann, Dinesh Atchuthan, Paul-Édouard Dupouy, Nicolas Riviere, Simon Lacroix
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A New Efficient Eye Gaze Tracker for Robotic Applications
Chaitanya Bandi, Ulrike Thomas
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Planning with Occluded Traffic Agents Using Bi-Level Variational Occlusion Models
Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
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Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion
Lev Grossman, Brian Plancher
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Multi-Source Domain Adaptation for Unsupervised Road Defect Segmentation
JONGMIN YU, Hyeontaek Oh, Sebastiano Fichera, Paolo Paoletti, SHAN LUO
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SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects
Hogun Kee, Minjae Kang, Dohyeong Kim, JaeGoo Choy, Songhwai Oh
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NeRFing It: Offline Object Segmentation Through Implicit Modeling
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
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Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams
Peng Gao, SRIRAM SIVA, Anthony Micciche, Hao Zhang
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Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator
Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi
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Sequence-Agnostic Multi-Object Navigation
Gireesh Nandiraju, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
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Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach
Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco
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