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Found 7 papers, 1 papers with code
SRLM: Human-in-Loop Interactive Social Robot Navigation with Large Language Model and Deep Reinforcement Learning
An interactive social robotic assistant must provide services in complex and crowded spaces while adapting its behavior based on real-time human language commands or feedback.
Spatial Computing: Concept, Applications, Challenges and Future Directions
In this review, we also explored the potential challenges and limitations of spatial computing.
PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection
In this study, we introduce PatchAD, a novel multi-scale patch-based MLP-Mixer architecture that leverages contrastive learning for representational extraction and anomaly detection.
Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for Human Trajectory Prediction with Hypergraph Reasoning
Predicting crowded intents and trajectories is crucial in varouls real-world applications, including service robots and autonomous vehicles.
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
GPT is based on the transformer architecture, a deep neural network designed for natural language processing tasks.
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Furthermore, we also suggest some policies and recommendations for EU AI policy act concerning ethics, digital divide, and sustainability.
CardioID: Mitigating the Effects of Irregular Cardiac Signals for Biometric Identification
In this work, we analyze cardiac signals collected in more realistic (uncontrolled) scenarios and show that their high signal variability (i. e., irregularity) makes it harder to obtain stable and distinct user features.
