Intention Recognition in Real-Time Interactive Navigation Maps
In this demonstration, we develop IntentRec4Maps, a system to recognise users' intentions in interactive maps for real-world navigation. IntentRec4Maps uses the Google Maps Platform as the real-world interactive map, and a very effective approach for recognising users' intentions in real-time. We showcase the recognition process of IntentRec4Maps using two different Path-Planners and a Large Language Model (LLM). GitHub: https://github.com/PeijieZ/IntentRec4Maps
Code (1)
Tasks
Intent DetectionLanguage ModelingLanguage ModellingLarge Language ModelSimilar Papers 제목 키워드 기반
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
We study the problem of safe and intention-aware robot navigation in dense and interactive crowds. Most previous reinforcement learning (RL) based methods fail to consider different types of interactions among all agents…
Graph Neural NetworkMotion Planningreinforcement-learningRobot Navigation+2Fitting Different Interactive Information: Joint Classification of Emotion and Intention
This paper is the first-place solution for ICASSP MEIJU@2025 Track I, which focuses on low-resource multimodal emotion and intention recognition. How to effectively utilize a large amount of unlabeled data, while ensurin…
Emotion RecognitionIntent DetectionPseudo LabelLearning Multimodal Confidence for Intention Recognition in Human-Robot Interaction
The rapid development of collaborative robotics has provided a new possibility of helping the elderly who has difficulties in daily life, allowing robots to operate according to specific intentions. However, efficient hu…
Intent DetectionReflectVLN: Training Vision-Language Navigation Agents with Reflective Reasoning
Existing vision-language navigation methods often couple a VLM with waypoint decoders to produce multi-step action plans, but they typically lack an explicit closed-loop mechanism for tracking semantic progress, diagnosi…
Vision-Language NavigationCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
In a dialog system, dialog act recognition and sentiment classification are two correlative tasks to capture speakers intentions, where dialog act and sentiment can indicate the explicit and the implicit intentions separ…
Graph AttentionSentiment AnalysisSentiment Classification