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742 result(s) for “Incremental Learning” Page 5 of 15
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Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
Mingen Li, Changhyun Choi
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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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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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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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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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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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HybGrasp: A Hybrid Learning-To-Adapt Architecture for Efficient Robot Grasping
Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo
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Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction
Cedric Goubard, Yiannis Demiris
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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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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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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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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WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao
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6-DOF Grasp Pose Evaluation and Optimization Via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll, Björn Hein
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, Junbo Tan, xueqian WANG
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation
Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba
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FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos
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Learning Adaptive Policies for Autonomous Excavation under Various Soil Conditions by Adversarial Domain Sampling
Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada
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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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Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot
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Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
Nicholas Harrison, Nathan Daniel Wallace, Salah Sukkarieh
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One-Shot Imitation Learning with Graph Neural Networks for Pick-And-Place Manipulation Tasks
Francesco Di Felice, Salvatore D'Avella, Alberto Remus, Paolo Tripicchio, Carlo Alberto Avizzano
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Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
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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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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam
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Learning-Based Object Recognition Via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper
Mo Deng, Fengya Fan, Xi Wei
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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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Learning Motion Reconstruction from Demonstration Via Multi-Modal Soft Tactile Sensing
Cheng Pan, Kieran Gilday, Emily Sologuren, Kai Junge, Josie Hughes
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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Tactile Embeddings for Multi-Task Learning
Yiyue Luo, Murphy Wonsick, Jessica Hodgins, Brian Okorn
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On-Device Self-Supervised Learning of Visual Perception Tasks Aboard Hardware-Limited Nano-Quadrotors
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
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Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification
Xiao Liu, Hongjin Chen, Haoyao Chen
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Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou
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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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Learning Fabric Manipulation in the Real World with Human Videos
Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke
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Symmetry-Aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Nguyen Hai, Tadashi Kozuno, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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