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1006 result(s) for “Robot Learning” Page 4 of 21
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Estimating Tactile Models of Heterogeneous Deformable Objects in Real Time
Shaoxiong Yao, Kris Hauser
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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On the Learned Balance Manifold of Underactuated Balance Robots
Feng Han, Jingang Yi
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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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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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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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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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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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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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Efficient Learning of High Level Plans from Play
NÃoria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
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Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
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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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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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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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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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GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine
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Learning-Based Uncertainty-Aware Navigation in 3D Off-Road Terrains
Hojin Lee, Junsung Kwon, Cheolhyeon Kwon
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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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Fusing Event-Based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges Gielen
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Slice Transformer and Self-Supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, michael wise, Ajmal Mian
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