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ICRA 2023

1655 papers · 0 AI summaries · 2023

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113 result(s) for “Probabilistic Inference” Page 1 of 3
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NOPA: Neurally-Guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
Xavier Puig, Tianmin Shu, Joshua Tenenbaum, Antonio Torralba
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A Probabilistic Framework for Visual Localization in Ambiguous Scenes
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
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A Probabilistic Rotation Representation for Symmetric Shapes with an Efficiently Computable Bingham Loss Function
Hiroya Sato, Takuya Ikeda, Koichi Nishiwaki
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Probabilistic Plane Extraction and Modeling for Active Visual-Inertial Mapping
Mitchell Usayiwevu, Fouad Sukkar, Teresa A. Vidal-Calleja
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Intent Inference-Based Ship Collision Avoidance in Encounters with Rule-Violating Vessels
Yonghoon Cho, Jonghwi Kim, Jinwhan Kim
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Bayesian Inference of Fog Visibility from LiDAR Point Clouds and Correlation with Probabilities of Detection
karl montalban, Christophe Reymann, Dinesh Atchuthan, Paul-Édouard Dupouy, Nicolas Riviere, Simon Lacroix
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Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits
Shohei Wakayama, Nisar Ahmed
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Hierarchical Policy Blending As Inference for Reactive Robot Control
Kay Hansel, Julen Urain De Jesus, Jan Peters, Georgia Chalvatzaki
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Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee
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Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time
Vito Mengers, Aravind Battaje, Manuel Baum, Oliver Brock
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Probabilistic Rare-Event Verification for Temporal Logic Robot Tasks
Guy Scher, Sadra Sadraddini, Hadas Kress-Gazit
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Risk-Aware Fast Trajectory Planner for Uncertain Environments Based on Probabilistic Surrogate Reliability and Risk Contours
Guobiao Wang
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Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments
Khaled Alaaeldin Abdelfattah Mustafa, Oscar de Groot, Xinwei Wang, Jens Kober, Javier Alonso-Mora
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A Probabilistic Model of Activity Recognition with Loose Clothing
Tianchen Shen, Irene Di Giulio, Matthew Howard
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Risk-Aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains
Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami
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Probabilistic Contact State Estimation for Legged Robots Using Inertial Information
Michael Maravgakis, Despina-Ekaterini Argiropoulos, Stylianos Piperakis, Panos Trahanias
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Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark Campbell
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GMM Registration: a Probabilistic scan matching approach for sonar-based AUV navigation
Pau Vial, Miguel Malagón Pedrosa, Ricard Segura, Narcis Palomeras, Marc Carreras
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A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
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Probabilistic Planning with Partially Ordered Preferences Over Temporal Goals
Hazhar Rahmani, Abhishek Kulkarni, Jie Fu
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Probabilistic Framework for Hand-Eye and Robot-World Calibration AX=YB
Ha, Junhyoung
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Credible Online Dynamics Learning for Hybrid UAVs
David Rohr, Nicholas Lawrance, Olov Andersson, Roland Siegwart
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Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Diego Romeres, Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli
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Stein ICP for Uncertainty Estimation in Point Cloud Matching
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Convolutional Bayesian Kernel Inference for 3D Semantic Mapping
Joseph Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
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Constraint Manifolds for Robotic Inference and Planning
Yetong Zhang, Fan Jiang, Gerry Chen, Varun Agrawal, Adam Rutkowski, Frank Dellaert
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Causal Inference for De-Biasing Motion Estimation from Robotic Observational Data
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
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DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory
Juyeop Han, Youngjae Min, Hyeok-Joo Chae, Byeongmin Jeong, Han-Lim Choi
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Cross-Domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael Phan, Vishnu Monn Baskaran, Surya G. Nurzaman
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Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
Corrado Pezzato, Carlos Hernández, Stefan Bonhof, Martijn Wisse
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Efficient Inference of Temporal Task Specifications from Human Demonstrations Using Experiment Design
Shlok Sobti, Rahul Shome, Lydia Kavraki
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Switching Attention in Time-Varying Environments Via Bayesian Inference of Abstractions
Meghan Booker, Anirudha Majumdar
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Fast and Scalable Signal Inference for Active Robotic Source Seeking
Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav Sukhatme, Mykel Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi
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A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors
Christopher Morse, Lu Feng, Matthew Dwyer, Sebastian Elbaum
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Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization
Kuniyuki Takahashi, Tadahiro Taniguchi
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Streaming LifeLong Learning with Any-Time Inference
Soumya Banerjee, Vinay Kumar Verma, Vinay Namboodiri
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Towards Surgical Context Inference and Translation to Gestures
Kay Hutchinson, Zongyu Li, Ian Reyes, Homa Alemzadeh
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Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon
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Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, J.W Grizzle, Jeffrey Walls, Ayoung Kim, Ryan Eustice, Maani Ghaffari
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Discrete-Continuous Smoothing and Mapping
Kevin Doherty, Ziqi Lu, Kurran Singh, John Leonard
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Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-Based Occupancy Mapping
Duong, Thai,Yip, Michael C.,Atanasov, Nikolay
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Optimal Allocation of Many Robot Guards for Sweep-Line Coverage
Si Wei Feng, Teng Guo, Jingjin Yu
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A Little Bit Attention Is All You Need for Person Re-Identification
Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian, Horst-Michael Gross
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Occlusion-Aware Crowd Navigation Using People As Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
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Towards Efficient Gas Leak Detection in Built Environments: Data-Driven Plume Modeling for Gas Sensing Robots
Wanting Jin, Faezeh Rahbar, Chiara Ercolani, Alcherio Martinoli
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UDepth: Fast Monocular Depth Estimation for Visually-Guided Underwater Robots
Boxiao Yu, Jiayi Wu, Md Jahidul Islam
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Test Time Domain Adaptation for Monocular Depth Estimation
Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai
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GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno
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Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping
Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess
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