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274 result(s) for “Probabilistic Inference” Page 1 of 6
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Probabilistic Topological Map Inference with Belief Propagation AI summary
Houzhe Wang, Jingqi Jiang, Shida Xu, Eric Yeatman, Sen Wang
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Towards Distributed Robotic Casualty Assessment Using Multimodal, Non-Contact Perception and Probabilistic Inference AI summary
Zachary Bortoff, Srijal Shekhar Poojari, Kleio Baxevani, Joshua Gaus, Christopher Titus, Ahmed Ashry, Derek Paley
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Data-Efficient Constrained Robot Learning with Probabilistic Lagrangian Control AI summary
Shiming He, Yuzhe Ding
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PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking AI summary
Hanwen Cao, George J. Pappas, Nikolay Atanasov
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Gaze-Based Teleoperation with Intent Inference Model for Robotic Manipulators AI summary
Yanjia Yuan, Chong Peng, Dihui Chu, Qianqian WANG, Qiang Gao, Yunlong Tang, Xiaoyu Wang
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Lateral Reciprocal Collision Avoidance: A Probabilistic Social-Norm-Inspired Strategy for Deadlock-Free Multi-Robot Navigation AI summary
Siyi Lu, Sipu Ruan
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Aleatoric Uncertainty from AI-Based 6D Object Pose Predictors for Object-Relative State Estimation AI summary
Thomas Jantos, Stephan Weiss, Jan Steinbrener
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Multi-Robot Collision Avoidance with Probabilistic Mahalanobis Distance Constraints AI summary
Zhaodong Chen, Dingfu Liu, Chuqing Feng, Yunxiao Shan
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CPBA-LIWO: Continuous-Time LiDAR-Inertial-Wheel Odometry Based on Probabilistic Bundle Adjustment AI summary
Song Wu, Yunzhou Zhang, Yuezhang Lv, Wu Li, Sizhan Wang, Su Yan, Hengwang Ding
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Azimuth-LIO: Robust LiDAR-Inertial Odometry Via Azimuth-Aware Voxelization and Probabilistic Fusion AI summary
Author Names and Affiliations Omitted for Anonymous Review
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SLIM-VDB: A Real-Time 3D Probabilistic Semantic Mapping Framework AI summary
Anja Sheppard, Parker Ewen, Joseph Wilson, Advaith Venkatramanan Sethuraman, Benard Adewole, Anran Li, Yuzhen Chen, Ram Vasudevan, Katherine Skinner
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Learning Unified Probabilistic Spatial Relation Representation from Visual Demonstrations AI summary
Paul Emil Hannuschka, Jianfeng Gao, Tamim Asfour
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VBGS-SLAM: Variational Bayesian Gaussian Splatting Simultaneous Localization and Mapping AI summary
Yuhan Zhu, Yanyu Zhang, Jie Xu, Wei Ren
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Enhanced Probabilistic Collision Detection for Motion Planning under Sensing Uncertainty AI summary
Xiaoli Wang, Sipu Ruan, Xin Meng, Gregory Chirikjian
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From CAD to POMDP: Probabilistic Planning for Robotic Disassembly of End-Of-Life Products AI summary
Jan Baumgärtner, Malte Hansjosten, David Hald, Adrian Hauptmannl, Alexander Puchta, Jürgen Fleischer
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ProbPer-LiLo: Probabilistic Persistency Modeling for Life-Long Mapping AI summary
Waqas Ali, Yixi Cai, Patric Jensfelt, Thien-Minh Nguyen
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Terrain-Aware Probabilistic Search Planning for Unmanned Aerial Vehicles AI summary
Nathan Schomer, Julie Adams
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SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting AI summary
Ashkan Taghipour, Vahid Naghshin, Benjamin John Southwell, Farid Boussaid, Hamid Laga, Mohammed Bennamoun
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Hallucinating 360°: Panoramic Street-View Generation Via Local Scenes Diffusion and Probabilistic Prompting AI summary
Fei Teng, Kai Luo, Sheng Wu, Siyu Li, PuJun Guo, Jiale Wei, Jiaming Zhang, Kunyu Peng, Kailun Yang
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Hierarchical Online Learning for Adaptive Sampling of Discrete Species Distributions with an AUV AI summary
Jessica Todd, Seth McCammon, Dana Yoerger
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NSF-HRPT: Neural Semantic Field Meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment AI summary
Yu Zhao, Jiangyu Pan, Tao Hu, Ming Yin, Fan Yang, Jiangfan Liu, Xiubo Liang
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Human Motion Intent Inferencing in Teleoperation through a SINDy Paradigm AI summary
Michael Bowman, Xiaoli Zhang
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Robust Hand Tracking from Visual-Inertial Fusion AI summary
Hyelim Choi, Hyunreal Park, Harim Ji, Somang Lee, Youngseon Lee, Yongseok Lee, Dongjun Lee
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Robust Bayesian Scene Reconstruction with Retrieval-Augmented Priors for Precise Grasping and Planning AI summary
Herbert Wright, Weiming Zhi, Martin Matak, Matthew Johnson-Roberson, Tucker Hermans
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E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-Aware Gaussian Semantic Mapping AI summary
Junyoung Kim, Minsik Jeon, Jihong Min, Kiho Kwak, Junwon Seo
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Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study AI summary
Andrew Stirling, Mykola Lukashchuk, Dmitry Bagaev, Wouter Kouw, James Richard Forbes
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Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model AI summary
Kentaro Fujii, Shingo Murata
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GUIDE: A Diffusion-Based Autonomous Robot Exploration Framework Using Global Graph Inference AI summary
Zijun Che, Yinghong Zhang, Shengyi Liang, Boyu Zhou, Jun Ma, Jinni ZHOU
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ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models AI summary
Cheng Yang, Jianhao Jiao, Lingyi Huang, Jinqi Xiao, Zhexiang Tang, Yu Gong, Yibiao Ying, Yang Sui, Jintian Lin, Wen Huang, Bo Yuan
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Field Calibration of Hyperspectral Cameras for Terrain Inference AI summary
Nathaniel Hanson, Benjamin Pyatski, Sam Hibbard, Gary Lvov, Oscar De La Garza, Charles A DiMarzio, Kristen Dorsey, Taskin Padir
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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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Distribution Estimation for Global Data Association Via Approximate Bayesian Inference AI summary
Yixuan Jia, Mason B. Peterson, Qingyuan Li, Yulun Tian, Jonathan How
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Human-Like Robot Action Policy through Game-Based Empathetic Inference for Human-Robot Collaboration AI summary
Yubo Sheng, Yiwei Wang, Haoyuan Cheng, Huan Zhao, Han Ding
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Online Pareto-Optimal Decision-Making for Complex Tasks Using Active Inference AI summary
Peter Amorese, Shohei Wakayama, Nisar Ahmed, Morteza Lahijanian
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Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation AI summary
Zidong Chen, Zhihao Guo, Peng Wang, ThankGod Itua Egbe, Yan Lyu, Chenghao Qian
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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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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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Learning Affordances at Inference-Time for Vision-Language-Action Models AI summary
Ameesh Shah, William Chen, Adwait Godbole, Federico Mora, Sanjit A. Seshia, Sergey Levine
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D-CAT: Decoupled Cross-Attention Knowledge Transfer between Sensor Modalities for Unimodal Inference AI summary
Leen Daher, Zhaobo Wang, Malcolm Mielle
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PIRATR: Parametric Object Inference for Robotic Applications with Transformers in 3D Point Clouds AI summary
Michael Schwingshackl, Fabio Francisco Oberweger, Mario Niedermeyer, Johannes Huemer, Markus Murschitz
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INSIGHT: INference-Time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models AI summary
Ulas Berk Karli, Ziyao Shangguan, Tesca Fitzgerald
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Pseudocode-Guided Structured Reasoning for Automating Reliable Inference in Vision-Language Models AI summary
Weicong Ni, Tianbao Jiang, Linlin Wang
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Latent Activation Editing: Inference-Time Refinement of Learned Policies for Safer Multirobot Navigation AI summary
Satyajeet Das, Darren Chiu, Zhehui Huang, Lars Lindemann, Gaurav Sukhatme
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Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference AI summary
Huy Dung Nguyen, Anass Bairouk, Mirjana Maras, Wei Xiao, Tsun-Hsuan Wang, Patrick Chareyre, Ramin Hasani, Marc Blanchon, Daniela Rus
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Multi-Agent Collaboration for PrSTL Specifications with Temporal Collective Counting Operators AI summary
Yicheng Quan, Yan Yang, Zhijie Liu, Zhongjiao Shi
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Inference-Stage Adaptation-Projection Strategy Adapts Diffusion Policy to Cross-Manipulators Scenarios AI summary
Xiangtong Yao, Yirui Zhou, Yuan Meng, Yanwen Liu, Liangyu Dong, Zitao Zhang, Zhenshan Bing, Kai Huang, Fuchun Sun, Alois Knoll
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A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage AI summary
Szymon Rusiecki, Cecilia Morales, Pia Störy, Kimberly Elenberg, Leonard Weiss, Artur Dubrawski
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Calibration-Free Gas Source Localization with Mobile Robots: Source Term Estimation Based on Concentration Measurement Ranking AI summary
Wanting Jin, Agatha Duranceau, Izzet Kagan Erunsal, Alcherio Martinoli
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Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation AI summary
Chenxi Li, Weining Lu, Qingquan Lin, Litong Meng, Haolu Li, Bin Liang
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Quantization of DRL Models for Embedded Microcontrollers AI summary
Peter Bohm, Pauline Pounds, Peyman Moghadam, Archie Chapman, Jen Jen Chung
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