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588 result(s) for “Continual Learning” Page 6 of 12
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D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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Learning Social Cost Functions for Human-Aware Path Planning
Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
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Learning Variable Compliance Control from a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
Tatsuya Kamijo, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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Working Backwards: Learning to Place by Picking
Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Hogan, Gregory Dudek
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Temporal- and Viewpoint-Invariant Registration for Under-Canopy Footage using Deep-Learning-based Bird's-Eye View Prediction
Jiawei Zhou, Ruben Mascaro, Cesar Cadena Lerma, Margarita Chli, Lucas Teixeira
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Enhancing Object Grasping Efficiency with Deep Learning and Post-Processing for Multi-Finger Robotic Hands
Pouya Samandi, Kamal Gupta, mehran mehrandezh
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Adaptive Trajectory Database Learning for Nonlinear Control with Hybrid Gradient Optimization
Kuan-Yu Tseng, Mengchao Zhang, Kris Hauser, Geir E. Dullerud
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Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
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ActNeRF: Uncertainty-Aware Active Learning of NeRF-Based Object Models for Robot Manipulators Using Visual and Re-Orientation Actions
Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul
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Learning Generalizable Tool-Use Skills through Trajectory Generation
Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held
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MonoForce: Self-Supervised Learning of Physics-informed Model for Predicting Robot-Terrain Interaction
Ruslan Agishev, Karel Zimmermann, Vladimir Kubelka, Martin Pecka, Tomas Svoboda
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Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of Its LEDs
Nicholas Carlotti, Mirko Nava, Alessandro Giusti
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A Learning-Based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand
Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml
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Learning High-Level Semantic-Relational Concepts for SLAM
Jose Andres Millan Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez
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Learning Incipient Slip with GelSight Sensors: Attention Classification with Video Vision Transformers
Amit Parag, Edward Adelson, Ekrem Misimi
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Hierarchical Action Chunking Transformer: Learning Temporal Multimodality from Demonstrations with Fast Imitation Behavior
J. hyeon Park, Wonhyuk Choi, Sunpyo Hong, Hoseong Seo, Joonmo Ahn, Changsu Ha, Heungwoo Han, Junghyun Kwon
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Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB
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DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving
Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
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Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images
Christian Geckeler, Emanuele Aucone, Yannick Schnider, Andri Simeon, Jan-Philipp von Bassewitz, Yunying Zhu, Stefano Mintchev
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Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning
Yilue Qian, Peiyu Yu, Ying Nian Wu, Yao Su, Wei Wang, Lifeng Fan
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Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks
Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan
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Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools
Filippo Alberto Spinelli, Pascal Arturo Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter
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Satellite-Model-Free Deep Learning Based Pose Estimation of Non-Cooperative Satellite and Tracking Using Navigation Filter
Shubham Shukla, Raunak Srivastava, Rolif Lima, Titas Bera
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Learning from Spatio-Temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
Seungho Lee, Hwijeong Lee, Hyunjung Shim
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Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force and Position-Based Robot Skills from Learning-From-Demonstration Models
Daniel Bargmann, Werner Kraus, Marco F. Huber
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LF2SLAM: Learning-Based Features for Visual SLAM
Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante
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DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Rigid Point Set Registration
Zhe Min, Zhengyan Zhang, Ang Zhang, Rui Song, Yibin Li, Max Q.-H. Meng
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Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Kanta Kaneda, Shunya Nagashima, Ryosuke Korekata, Motonari Kambara, Komei Sugiura
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Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning Via MetaGradient-Based Hyperparameter Tuning
Homayoun Honari, Amir Mehdi Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Decentralized Multi-Robot Navigation Coupled with Spatial-Temporal RetNet Based on Deep Reinforcement Learning
Lin Chen, Yaonan Wang, Zhiqiang Miao, Mingtao Feng, Yuanzhe Wang, Yang Mo, zhen zhou, Hesheng Wang, Danwei Wang
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Learning-Based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion
GE SUN, Milad Shafiee, Peizhuo LI, Guillaume Bellegarda, Auke Ijspeert, Guillaume Adrien Sartoretti
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DaFoEs: Mixing Datasets towards the Generalization of Vision-State Deep-Learning Force Estimation in Minimally Invasive Robotic Surgery
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sebastien Ourselin, Hongbin Liu
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An End-To-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
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Repairing Neural Networks for Safety in Robotic Systems Using Predictive Models
Keyvan Majd, Geoffrey Clark, Georgios Fainekos, Heni Ben Amor
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IndoorSim-To-OutdoorReal: Learning to Navigate Outdoors without Any Outdoor Experience
Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu
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Data Efficient Behavior Cloning for Fine Manipulation Via Continuity-Based Corrective Labels
Abhay Deshpande, Liyiming Ke, Quinn Pfeifer, Abhishek Gupta, Siddhartha Srinivasa
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Model-Based Policy Optimization Using Symbolic World Model
Andrey Gorodetsky, Konstantin Mironov, Aleksandr Panov
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Environmental and Behavioral Imitation for Autonomous Navigation
Junki Aoki, Fumihiro Sasaki, Kohei Matsumoto, Ryota Yamashina, Ryo Kurazume
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MQE: Unleashing the Power of Interaction with Multi-Agent Quadruped Environment
Ziyan Xiong, bo chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
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Masked Mutual Guidance Transformer Tracking
baojie fan, Zhiquan Wang, Jiajun Ai, caiyu zhang
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Embodiment: Self-Supervised Depth Estimation Based on Camera Models
Jinchang Zhang, PRAVEEN KUMAR REDDY KAMSANI, Xue Iuan Wong, Yiannis Aloimonos, Guoyu Lu
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GeRM: A Generalist Robotic Model with Mixture-Of-Experts for Quadruped Robot
Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, YaNing Fan, Donglin Wang
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Competitive Multi-Team Behavior in Dynamic Flight Scenarios
Tim Niklas Seyde, Mathias Lechner, Joshua Rountree, Daniela Rus
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CurricularVPR: Curricular Contrastive Loss for Visual Place Recognition
Dongshuo Zhang, Nanhua Chen, MEIQING WU, Siew Kei Lam
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Foam-Embedded Soft Robotic Joint with Inverse Kinematic Modeling by Iterative Self-Improving Learning
Anlun Huang, Yongxi Cao, Jiajie Guo, Zhonggui Fang, Yinyin Su, Sicong LIU, Juan Yi, Hongqiang WANG, Jian Dai, Zheng Wang
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Whole-Body Humanoid Robot Locomotion with Human Reference
Qiang Zhang, Peter Cui, David Yan, Jingkai SUN, YIQUN DUAN, Gang Han, Wen Zhao, Weining ZHANG, Yijie Guo, Arthur Zhang, Renjing Xu
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Bridging the Sim-To-Real Gap with Bayesian Inference
Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause
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BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment
Mehdi Hosseinzadeh, Ian Reid
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Kinematics-Aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Sinong Zhan, Chao Huang, Qi Zhu
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Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann
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