The Hypermap framework is presented, which can manage multiple maps of different types and the capabilities of the framework to handle occupancy grid layers and semantic polygonal layers are explored, but the framework can be extended with new layer types in the future.
The Hypermap framework is presented, which can manage multiple maps of different types and the capabilities of the framework to handle occupancy grid layers and semantic polygonal layers are explored, but the framework can be extended with new layer types in the future.
A hybrid pipeline for semantic mapping is presented that incorporates an external calibrated camera using homography projection for geometric mapping and localization, combined with object detection, persistent object tracking and ontology driven semantic updates to build a dynamic semantic world model.
Konstantinos Dimitropoulos, Ioannis Hatzilygeroudis· 0 citations
This work proposes a non-invasive framework that connects LLM reasoning with ROS-based navigation through a navigation-oriented representation layer, exposed through the Model Context Protocol as standardized, reusable tools so that any MCP-compatible LLM can access them without robot-specific wrappers.
Jungsoo Lee, Jaegyun Park, Wansoo Kim· 0 citations
This framework combines simultaneous localization and mapping (SLAM), visual-language feature extraction, incremental semantic and instance label fusion, and spatial graph construction to enable a construction robot navigation framework that supports open-vocabulary language queries.
Charles M. Raines, I. Fernandez, Mandy Sun et al.· Journal of computing in civi...· 0 citations
In environments where human presence is restricted due to safety concerns, cognitive robots can play a vital role in executing tasks. While robotic systems have made impressive advances in tasks such as object recognition, they still fall short in terms of true spatial understanding. Robots are not yet able to understa...
A. Jain, N. Chauhan, Rahul Shrivastava· International Journal of Int...· 0 citations
An open-vocabulary semantic mapping pipeline is presented that integrates TALOS (TAgging–LOcation–Segmentation–Segmentation) with the probabilistic, instance-aware Voxeland framework and shows a better balance between map completeness, geometric clarity, semantic coherence, and instance separation.
Macoris Decena-Gimenez, Pepe Ojeda, J. Ruiz-Sarmiento et al.· Robotics· 0 citations
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