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Found 7 papers, 0 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.
Semantic Layering in Room Segmentation via LLMs
In this paper, we introduce Semantic Layering in Room Segmentation via LLMs (SeLRoS), an advanced method for semantic room segmentation by integrating Large Language Models (LLMs) with traditional 2D map-based segmentation.
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion
To re-rank the retrieved images, PlaceFormer merges the patch tokens from the transformer to form multi-scale patches.
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.
RoboMal: Malware Detection for Robot Network Systems
Notably, the LSTM-based RoboMal model outperforms the other models with an accuracy of 85% and precision of 87% in 10-fold cross-validation, hence proving the effectiveness of the proposed framework.
Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
Robots have inherently limited onboard processing, storage, and power capabilities.
Algae Detection Using Computer Vision and Deep Learning
The proposed system is fast, accurate and cheap, and it can be installed on any robotic platforms such as USVs and UAVs for autonomous algae monitoring.
