Human Navigational Intent Inference With

June 12, 2026
Media Summary: SFU CS research day Decision making under "A Framework for Recognition and Prediction of This video presents our recently developed approach for efficient

Human Navigational Intent Inference With - Detailed Analysis & Overview

SFU CS research day Decision making under "A Framework for Recognition and Prediction of This video presents our recently developed approach for efficient 0:00 Intro 0:15 "A Multimodal and Hybrid Framework for To operate and navigate safely in crowded environments, autonomous agents such as mobile social robots should be equipped ... MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View ...

This video presents our motivation, methodology and results for our paper "Counterfactual Reasoning about

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Human Navigational Intent Inference with Probabilistic and Optimal Approaches
Human Navigational Intent Modelling Based on Reachability Analysis and Bayesian filtering
A Framework for Recognition and Prediction of Human Motion using Probabilistic Motion Models
ActInf Livestream #042.0 ~ "Robot navigation as hierarchical active inference"
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
Intent Solves Navigation
Using Human-Inspired Signals to DisambiguateNavigational Intentions
Matthew Brown: “Real-Time Active Inference for Adaptive Robotic Control“
Northwest Robotics Symposium Session 2
ActInf Livestream #042.1 ~ "Robot navigation as hierarchical active inference"
Hamid Rezatofighi: Towards an E2E visual perception sys for navigation in human-centric environments
10. Origin, Destination, and Transfer Inference

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Human Navigational Intent Inference with Probabilistic and Optimal Approaches Human Navigational Intent Modelling Based on Reachability Analysis and Bayesian filtering A Framework for Recognition and Prediction of Human Motion using Probabilistic Motion Models ActInf Livestream #042.0 ~ "Robot navigation as hierarchical active inference" Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks Intent Solves Navigation Using Human-Inspired Signals to DisambiguateNavigational Intentions Matthew Brown: “Real-Time Active Inference for Adaptive Robotic Control“ The Unsettling Difference Between Dababy's Stage Name And Actual Background Is 4pm BST Really 11am ET When It Comes To Work Calls Georgia Steel Breaks Silence On Toby's Cheating Scandal, But Is She Really Moving On? From Fairs To Farms: How One East Texas Peddler In Jasper Revitalized Local Economies The Fluency Trap: Why Melbourne's Best Conversationalists Still Struggle With Comprehension What You're Missing In February 11 Florida Man Arrests Family Affair Drama Spills Over Into Business Ventures: What's The Recipe For Disaster? Oakland County Prison: A Hidden World Inside
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Human Navigational Intent Inference with Probabilistic and Optimal Approaches

Human Navigational Intent Inference with Probabilistic and Optimal Approaches

Although

Human Navigational Intent Modelling Based on Reachability Analysis and Bayesian filtering

Human Navigational Intent Modelling Based on Reachability Analysis and Bayesian filtering

SFU CS research day Decision making under

A Framework for Recognition and Prediction of Human Motion using Probabilistic Motion Models

A Framework for Recognition and Prediction of Human Motion using Probabilistic Motion Models

"A Framework for Recognition and Prediction of

ActInf Livestream #042.0 ~ "Robot navigation as hierarchical active inference"

ActInf Livestream #042.0 ~ "Robot navigation as hierarchical active inference"

https://www.sciencedirect.com/science/article/abs/pii/S0893608021002021 Robot

Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks

Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks

This video presents our recently developed approach for efficient

Intent Solves Navigation

Intent Solves Navigation

Intent Navigation

Using Human-Inspired Signals to DisambiguateNavigational Intentions

Using Human-Inspired Signals to DisambiguateNavigational Intentions

Human

Matthew Brown: “Real-Time Active Inference for Adaptive Robotic Control“

Matthew Brown: “Real-Time Active Inference for Adaptive Robotic Control“

4th Applied Active

Northwest Robotics Symposium Session 2

Northwest Robotics Symposium Session 2

0:00 Intro 0:15 "A Multimodal and Hybrid Framework for

ActInf Livestream #042.1 ~ "Robot navigation as hierarchical active inference"

ActInf Livestream #042.1 ~ "Robot navigation as hierarchical active inference"

https://www.sciencedirect.com/science/article/abs/pii/S0893608021002021 Robot

Hamid Rezatofighi: Towards an E2E visual perception sys for navigation in human-centric environments

Hamid Rezatofighi: Towards an E2E visual perception sys for navigation in human-centric environments

To operate and navigate safely in crowded environments, autonomous agents such as mobile social robots should be equipped ...

10. Origin, Destination, and Transfer Inference

10. Origin, Destination, and Transfer Inference

MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View ...

Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments

Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments

This video presents our motivation, methodology and results for our paper "Counterfactual Reasoning about