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907 result(s) for “Visual Learning” Page 12 of 19
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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments Using Offline Reinforcement Learning
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha
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UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Samuel Triest, David D. Fan, Sebastian Scherer, Ali-akbar Agha-mohammadi
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One-Shot Learning for Task-Oriented Grasping
Valerija Holomjova, Andrew Starkey, Bruno Yun, Pascal Meißner
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When to Replan? an Adaptive Replanning Strategy for Autonomous Navigation Using Deep Reinforcement Learning
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
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DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Shing-Hei Ho, Tucker Hermans, Alan Kuntz
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Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera
Ryota Takamido, Jun Ota
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Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, CHRIS PAL, Roland Siegwart
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Learning Which Side to Scan: Multi-View Informed Active Perception with Side Scan Sonar for Autonomous Underwater Vehicles
Advaith Venkatramanan Sethuraman, Philip Baldoni, Katherine Skinner, James McMahon
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A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian
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Safe and Individualized Motion Planning for Upper-Limb Exoskeleton Robots Using Human Demonstration and Interactive Learning
Yu Chen, Gong Chen, jing ye, Xiangjun Qiu, Xiang LI
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Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
Juncheng Li, David Cappelleri
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Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources
Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu
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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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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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EMG-Based Intention Detection Using Deep Learning for Shared Control in Upper-Limb Assistive Exoskeletons
Paniz Sedighi, Xingyu Li, Mahdi Tavakoli
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Sim2Real Transfer of Reinforcement Learning for Concentric Tube Robots
Keshav Kannan Iyengar, S.M.Hadi Sadati, Christos Bergeles, Sarah Spurgeon, Danail Stoyanov
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You Only Label Once: 3D Box Adaptation from Point Cloud to Image with Semi-Supervised Learning
Jieqi Shi, Peiliang LI, Xiaozhi Chen, Shaojie Shen
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An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning from Demonstration
Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani
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Bi-Touch: Bimanual Tactile Manipulation with Sim-To-Real Deep Reinforcement Learning
Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan Lepora
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Dynamic Object Classification of Low-Resolution Point Clouds: An LSTM-Based Ensemble Learning Approach
Shaoming Zhang, Tangjun Yao, Jianmei Wang, Tiantian Feng, Zhong Wang
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Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
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Deep Learning Based Acoustic Measurement Approach for Robotic Applications on Orthopedics
Bangyu Lan, Momen Abayazid, Nico Verdonschot, Stefano Stramigioli, Kenan Niu
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Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
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Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria, Qin Lin, John M. Dolan
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
Rafael J. Escarabajal, José Luis Pulloquinga, Pau Zamora-Ortiz, Angel Valera, Vicente Mata, Marina Valles
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Safety Optimized Reinforcement Learning Via Multi-Objective Policy Optimization
Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Learning Temporal Cues by Predicting Objects Move for Multi-Camera 3D Object Detection
Seokha Moon, Hongbeen Park, Jaekoo Lee, Jinkyu Kim
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Learning with Chemical versus Electrical Synapses - Does It Make a Difference?
Monika Farsang, Mathias Lechner, David Lung, Ramin Hasani, Daniela Rus, Radu Grosu
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Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
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Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
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SONIC: Sonar Image Correspondence Using Pose Supervised Learning for Imaging Sonars
Samiran Gode, Akshay Hinduja, Michael Kaess
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Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Xingyao Han, Siyuan Chen, Xinye Xiong, Qiming Liu, Shunbo Zhou, Heng Zhang, Zhe Liu
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Geometric Fabrics: A Safe Guiding Medium for Policy Learning
Karl Van Wyk, Ankur Handa, Viktor Makoviichuk, Yijie Guo, Arthur Allshire, Nathan Ratliff
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CVFormer: Learning Circum-View Representation and Consistency Constraints for Vision-Based Occupancy Prediction Via Transformers
Zhengqi Bai, Wenjun Shi, Dongchen Zhu, HanLong Kang, Guanghui Zhang, Gang Ye, Yang Xiao, Lei Wang, Xiaolin Zhang, bo Li, Jiamao Li
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AllSight: A Low-Cost and High-Resolution round Tactile Sensor with Zero-Shot Learning Capability
Osher Azulay, Nimrod Curtis, Rotem Sokolovsky, Guy Levistky, Daniel Slomovik, Guy Lilling, Avishai Sintov
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DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects Via Deformable Objects
Zixing Wang, Ahmed H. Qureshi
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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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EVOLVER: Online Learning and Prediction of Disturbances for Robot Control
Jindou Jia, Wenyu Zhang, Kexin Guo, Jianliang Wang, Xiang Yu, Yang Shi, Lei Guo
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Learning Multi-Scale Context Mask-RCNN Network for Slant Angled Aerial Imagery in Instance Segmentation Using Sim2Real
Qiranul Saadiyean, Samprithi S P, Suresh Sundaram
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MEDL-U: Uncertainty-Aware 3D Automatic Annotation Based on Evidential Deep Learning
Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
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Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped Robots
Taixian Hou, Jiaxin Tu, Xiaofei Gao, Zhiyan Dong, Peng Zhai, Lihua ZHang
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3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han
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Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving
Sean J. Wang, Honghao Zhu, Aaron M. Johnson
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Dynamic Coalition Formation and Routing for Multirobot Task Allocation Via Reinforcement Learning
Weiheng Dai, Aditya Bidwai, Guillaume Adrien Sartoretti
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Learning Interaction Constraints for Robot Manipulation Via Set Correspondences
Junyu Nan, Jessica Hodgins, Brian Okorn
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Efficient Model Learning and Adaptive Tracking Control of Magnetic Micro-Robots for Non-Contact Manipulation
Yongyi Jia, Shu Miao, junjian zhou, Niandong Jiao, Lianqing Liu, Xiang LI
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SynH2R: Synthesizing Hand-Object Motions for Learning Human-To-Robot Handovers
Sammy Christen, Lan Feng, Wei Yang, Yu-Wei Chao, Otmar Hilliges, Jie Song
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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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Learning-Based Model Predictive Control for an Autonomous Formula Student Racing Car
David Gomes, Miguel Botto, Pedro U. Lima
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Symmetry Considerations for Learning Task Symmetric Robot Policies
Mayank Mittal, Nikita Rudin, Victor Klemm, Arthur Allshire, Marco Hutter
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