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1416 result(s) for “Learning from Experience” Page 4 of 29
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ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan
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Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas, Hamidreza Kasaei
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Toward the Use of Proxies for Efficient Learning Manipulation and Locomotion Strategies on Soft Robots
Etienne Ménager, Quentin Peyron, Christian Duriez
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LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning
Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui
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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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Sim-To-Real Learning for Humanoid Box Loco-Manipulation
Jeremy Dao, Helei Duan, Alan Fern
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LOTUS: Continual Imitation Learning for Robot Manipulation through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
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Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation
Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng
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Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya, Ziyuan Liu, Joan Serrat
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Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
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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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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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Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning
Luuk van den Bent, Tomás Coleman, Robert Babuska
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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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6-DoF Closed-Loop Grasping with Reinforcement Learning
Sverre Herland, Kerstin Bach, Ekrem Misimi
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Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing, Xianghua Ying, Ruibin Wang
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Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
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Adaptive Whole-Body Robotic Tool-Use Learning on Low-Rigidity Plastic-Made Humanoids Using Vision and Tactile Sensors
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Kexin Chen, Du Yuyang, Tao You, Mobarakol Islam, Ziyu Guo, YUEMING Jin, Guangyong Chen, Pheng Ann Heng
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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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Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang
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Learning Agile Flights through Narrow Gaps with Varying Angles Using Onboard Sensing
Yuhan XIE, Minghao Lu, Rui Peng, Peng Lu
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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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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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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Sim-To-Real Robotic Sketching Using Behavior Cloning and Reinforcement Learning
Biao Jia, Dinesh Manocha
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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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Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning
Naoki Morihira, Pranav Deo, Manoj Bhadu, Akinobu Hayashi, Tadaaki Hasegawa, Satoshi Otsubo, Takayuki Osa
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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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Learning Nonprehensile Dynamic Manipulation: Sim2real Vision-Based Policy with a Surgical Robot
Radian Gondokaryono, Mustafa Haiderbhai, Sai Aneesh Suryadevara, Lueder Alexander Kahrs
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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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How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection
Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas Lawrance, Jen Jen Chung, Andrey Kolobov, Roland Siegwart
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End-To-End Reinforcement Learning for Time Optimal Quadcopter Flight
Robin Ferede, Christophe De Wagter, Dario Izzo, Guido de Croon
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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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Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu
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Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment
Zhenyang Lin, Yurou Chen, Zhiyong Liu
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Cascaded Compositional Residual Learning for Complex Interactive Behaviors
Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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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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Prompt, Plan, Perform: LLM-Based Humanoid Control Via Quantized Imitation Learning
Jingkai SUN, Qiang Zhang, YIQUN DUAN, Xiaoyang Jiang, Chong Cheng, Renjing Xu
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Kalman Filter-Based One-Shot Sim-To-Real Transfer Learning
dongqingwei dongqingwei, Peng Zeng, Guangxi Wan, Yunpeng He, Xiaoting Dong
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Motion Planning As Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Marco Faroni, Dmitry Berenson
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Few-Shot Fruit Segmentation Via Transfer Learning
Jordan James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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