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414 result(s) for “Graph Neural Networks” Page 1 of 9
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Compose by Focus: Scene Graph-Based Atomic Skills AI summary
Han Qi, Changhe Chen, HENG YANG
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STAGE: Structure-Adaptive Graph-Encoded Multi-Agent Policy Gradient for Moving Target Search in Uncertain Topological Networks AI summary
Qihang Peng, Lizhou Zhu, Lekai Chen, Hongliang Guo, Chih-yung Wen
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Learning Load-Balanced Distributed Coverage for Robot Swarms Via Graph Attention Networks AI summary
∗, Wenzong Ma , Hui Xiong , and Yiding Ji
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Knowledge-Guided Graph Convolutional Network for Multi-Label Image Classification AI summary
Christine Dewi, Dhananjay Thiruvady, Stephen Abednego Philemon, Nayyar Zaidi
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Tactile Object Recognition with Recurrent Neural Networks through a Perceptive Soft Gripper AI summary
Enrico Donato, David Pelliccia, Matin Hosseinzadeh, Mahmood Amiri, Egidio Falotico
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PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks AI summary
Kento Kawaharazuka, Takahiro Hattori, Keita Yoneda, Kei Okada
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Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots Using Physics-Informed Neural Networks AI summary
Tim-Lukas Habich, Aran Mohammad, Simon F. G. Ehlers, Martin Bensch, Thomas Seel, Moritz Schappler
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Graph Neural Planning and Predictive Control for Multi-Robot Communication-Constrained Unlabeled Motion Planning AI summary
Manohari Goarin, Yang Zhou, Giuseppe Loianno
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Learning Forward Looking Adaptation to Dynamic Payloads for Quadruped Locomotion Via Physics-Informed Neural Networks AI summary
Oscar Youngquist, Hao Zhang
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Graph Neural Model Predictive Control for High-Dimensional Systems AI summary
Patrick Benito Eberhard, Luis Pabon, Daniele Gammelli, Hugo Buurmeijer, Amon Lahr, Mark Leone, Andrea Carron, Marco Pavone
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Plan Optimal Collision-Free Trajectories with Non-Convex Cost Functions Using Graphs of Convex Sets AI summary
Landon Clark, Biyun Xie
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Localized Graph-Based Neural Dynamics Models for Terrain Manipulation AI summary
Chaoqi Liu, Yunzhu Li, Kris Hauser
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Hebbian Attractor Networks for Robot Locomotion AI summary
Alexander Dittrich, Fuda van Diggelen, Dario Floreano
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Gotta Scoop 'Em All: Sim-And-Real Co-Training of Graph-Based Neural Dynamics for Long-Horizon Scooping AI summary
Kaiwen Hong, Haonan Chen, Jiaming Xu, Runxuan Wang, Kaylan Wang, Mingtong Zhang, Shuijing Liu, Yifan Zhu, Yunzhu Li, Katherine Driggs-Campbell
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Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction AI summary
Yi Gu,∗, Dongjun Ye,∗, Zhaorui Wang,∗, Jiaxu Wang, Jiahang Cao, Mingle Zhao, Renjing Xu
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CableSense: MuJoCo Simulation-Guided Neural Networks for Force Estimation in Cable-Driven Manipulators AI summary
states are recorded. (c) Force perception network uses D cable tension inputs to estimate external force.
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EMG-Based Torque Prediction for Assistive Exoskeleton Control Using Neural Networks with Bounded Generalization Error AI summary
Duy Hoang, Lucas Quesada, Bastien Berret, Olivier BRUNEAU, Laurent Fribourg
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Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields AI summary
Sibaek Lee, Kyeongsu Kang, Seongbo Ha, Hyeonwoo Yu
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Second Order Sliding Mode Control of Flying Wing Aircraft Based on Feedforward Neural Networks AI summary
Yuecheng Song, Zhenbao Liu, Junwei Han, jinbiao yuan, Wen Zhao, Qingqing Dang
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Dynamically Feasible Trajectory Generation with Optimization-Embedded Networks for Autonomous Flight AI summary
Zhichao Han, Long Xu, Liuao Pei, Fei Gao
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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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Spike-IMU: An Accurate and Low-Power Spiking Neural Network for Pedestrian Velocity Estimation AI summary
Junye Zou, Xiaolei Li, Ziyang Meng, Guoqi Li
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Neural Profiling with fNIRS of Operator Performance in Teleoperated Human-Like Social Robot Interactions AI summary
David Achanccaray, Javier Andreu-Perez, Hidenobu Sumioka
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KAN Policy: Learning Efficient and Smooth Robotic Trajectories Via Kolmogorov-Arnold Networks AI summary
Zikang Chen, Fei Gao, Ziya Yu, and Peng Li
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Floating-Base Deep Lagrangian Networks AI summary
Lucas Schulze, Juliano Negri, Victor Barasuol, Vivian Suzano Medeiros, Marcelo Becker, Jan Peters, Oleg Arenz
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Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning AI summary
Allen Emmanuel Binny, Mahathi Anand, Hugo Tadashi Kussaba, Lingyun Chen, Shreenabh Agrawal, Fares Abu-Dakka, Abdalla Swikir
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KISS-IMU: Self-Supervised Inertial Odometry with Motion-Balanced Learning and Uncertainty-Aware Inference AI summary
Jiwon Choi, Hogyun Kim, Geonmo Yang, Juhui Lee, Younggun Cho
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SuReNav: Superpixel Graph-Based Constraint Relaxation for Navigation in Over-Constrained Environments AI summary
Keonyoung Koh, Moonkyeong Jung, Samuel Seungsup Lee, Daehyung Park
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Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead AI summary
Shireen Kudukkil Manchingal, Armand Amaritei, Mihir Gohad, Maryam Sultana, Julian Francisco Pieter Kooij, Fabio Cuzzolin, Andrew Bradley
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Robust Task Planning Via Failure Detection Using Scene Graph from Multi-View Images AI summary
Haechan Chong, Jongwon Lee, Hyemin Ahn
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Cooperative Grasping for Collective Object Transport in Constrained Environments AI summary
David Felipe Alvear Goyes, George Turkiyyah, Shinkyu Park
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Neural Operators for Design-Space Surrogate Modeling of Tendon-Actuated Continuum Robots AI summary
Branden Frieden, James Ferguson, Alan Kuntz, Varun Shankar
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FW-NKF: Frequency-Weighted Neural Kalman Filters AI summary
Adnan Harun Dogan, Berken Utku Demirel, Christian Holz
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SafeNet: A Neural-Symbolic Network for Safe Planning in Robotic Systems Using Formal Method-Guided LLM Fine-Tuning AI summary
Zifan Wang, Jialiang Fan, Rui Zuo, Qinru Qiu, Fanxin Kong
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Lagrangian Neural Network-Based Control: Improving Robotic Trajectory Tracking Via Linearized Feedback AI summary
Manuel Weiss, Alexander Pawluchin, Jan-Hendrik Ewering, Thomas Seel, Ivo Boblan
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Leveraging Geometric Prior Uncertainty and Complementary Constraints for High-Fidelity Neural Indoor Surface Reconstruction AI summary
Qiyu Feng, Jiwei Shan, Shing Shin Cheng, Hesheng Wang
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Few-Shot Neural Differentiable Simulator: Real-To-Sim Rigid-Contact Modeling AI summary
Zhenhao Huang, Siyuan Luo, Bingyang Zhou, Ziqiu Zeng, Fan Shi
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning AI summary
Aditya Narendra, Mukhammadrizo Maribjonov, Dmitry Makarov, Dmitry Yudin, Aleksandr Panov
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Nnodely - Neuralize Your Model AI summary
Gastone Pietro Rosati Papini, Alice Plebe, Mojtaba Sharifzadeh, Mattia Piazza, Sebastiano Taddei, Giovanni Scialla, Francesco Baroni, Davide De Martini, Giovanni Maria Francesco La Scala, Gioele Defrancesco, Filippo Faccini
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Physics-Informed Passive Motion Paradigm for Parallel Robots: A High-Precision Motor-Primitives Framework AI summary
Fuli Wang, Fazair Nizar Siraj, Windo Hutabarat, Ashutosh Tiwari
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DCL-Sparse: Distributed Relative Localization in Sparse Graphs AI summary
Atharva Sagale, Tohid Kargar Tasooji, Ramviyas Parasuraman
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LAMP: Implicit Language Map for Robot Navigation AI summary
Sibaek Lee, Hyeonwoo Yu, Giseop Kim, Sunwook Choi
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Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning AI summary
Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
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Tightly-Coupled LiDAR-IMU-Leg Odometry with Online Learned Leg Kinematics Incorporating Foot Tactile Information AI summary
Masashi Yokozuka, Kentaro Uno, and Kazuya Yoshida
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Manipulating Elasto-Plastic Objects with 3D Occupancy and Learning-Based Predictive Control AI summary
Zhen ZHANG, Xiangyu CHU, Yunxi TANG, Lulu ZHAO, Jing HUANG, Zhongliang Jiang, K. W. Samuel Au
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LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control AI summary
Saurav Agarwal, Ramya Muthukrishnan, Walker Gosrich, Vijay Kumar, Alejandro Ribeiro
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Parallel Heuristic Search As Inference for Actor-Critic Reinforcement Learning Models AI summary
Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev
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HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction AI summary
Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala
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Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability AI summary
William Cong, Josiah Hanna
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