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1608 result(s) for “Data Sets for Robot Learning” Page 8 of 33
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Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning
Yiang Lu, ruofeng wei, Bin LI, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yunhui Liu
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A Robotic Cooperative Network for Localising a Submarine in Distress: Results from REPMUS21
Gabriele Ferri, Alessandro Faggiani, Roberto Petroccia, Pietro stinco, Alessandra Tesei
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SwinDepth: Unsupervised Depth Estimation Using Monocular Sequences Via Swin Transformer and Densely Cascaded Network
Dongseok Shim, H. Jin Kim
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Dual Quaternion Based Dynamic Movement Primitives to Learn Industrial Tasks Using Teleoperation
Rohit Chandra, Victor Henri Giraud, Mohammad Alkhatib, Youcef Mezouar
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Stable Station Keeping of Autonomous Sailing Robots Via the Switched Systems Approach for Ocean Observation
Weimin Qi, Qinbo Sun, Yu Cao, Huihuan (Alex) Qian
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Loc-NeRF: Monte Carlo Localization Using Neural Radiance Fields
Dominic Maggio, Marcus Abate, Jingnan Shi, Courtney Mario, Luca Carlone
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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OysterNet: Enhanced Oyster Detection Using Simulation
Xiaomin Lin, Nitin Sanket, Nare Karapetyan, Yiannis Aloimonos
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3D Spectral Domain Registration-Based Visual Servoing
Komlan Jean Maxime Adjigble, Brahim TAMADAZTE, Cristiana de Farias, Rustam Stolkin, Naresh Marturi
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On the Learned Balance Manifold of Underactuated Balance Robots
Feng Han, Jingang Yi
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Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Ray Tracing for Embedded Hardware on Mobile Robots
Alexander Mock, Thomas Wiemann, Joachim Hertzberg
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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A Dual-Arm Participated Human-Robot Collaboration Method for Upper Limb Rehabilitation of Hemiplegic Patients
Lufeng Chen, Jing Qiu, Xuan Zou, Hong Cheng
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique
Connor Malone, Stephen Hausler, Tobias Fischer, Michael J Milford
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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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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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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Constant Distance and Orientation Following of an Unknown Surface with a Cable-Driven Parallel Robot
Thomas ROUSSEAU, Nicolo Pedemonte, Stéphane Caro, Francois Chaumette
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Implicit Neural Field Guidance for Teleoperated Robot‐assisted Surgery
Heng Zhang, Lifeng Zhu, Jiangwei Shen, Aiguo Song
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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
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SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar
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Towards Surgical Context Inference and Translation to Gestures
Kay Hutchinson, Zongyu Li, Ian Reyes, Homa Alemzadeh
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Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
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Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning
Kyowoon Lee, Seongun Kim, Jaesik Choi
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High-Performance Six-DOF Flight Control of the Bee++: An Inclined-Stroke-Plane Approach
Ryan Bena, Xiufeng Yang, Ariel, A Calderon, Nestor O Perez-Arancibia
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Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
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Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
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Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control
Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
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Test-Time Synthetic-To-Real Adaptive Depth Estimation
Eojindl Yi, Junmo Kim
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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
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Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun
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Explainable Action Advising for Multi-Agent Reinforcement Learning
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara
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Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
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Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm
Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina
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Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control
Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN
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Safety-Guaranteed Skill Discovery for Robot Manipulation Tasks
Sunin Kim, Jaewoon Kwon, Taeyoon Lee, Younghyo Park, JULIEN PEREZ
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Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Shuli Lv, Yan Gao, jiaxing Che, Quan Quan
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Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks
Christopher Ford, Haoran Li, John Lloyd, Manuel Giuseppe Catalano, Matteo Bianchi, Efi Psomopoulou, Nathan Lepora
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Conflict-Constrained Multi-Agent Reinforcement Learning Method for Parking Trajectory Planning
Siyuan Chen, Meiling Wang, Yi Yang, Wenjie Song
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A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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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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