Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Saradagi, Akshit"'
In this article, we introduce a novel strategy for robotic exploration in unknown environments using a semantic topometric map. As it will be presented, the semantic topometric map is generated by segmenting the grid map of the currently explored par
Externí odkaz:
http://arxiv.org/abs/2406.18381
This article introduces a novel approach to constructing a topometric map that allows for efficient navigation and decision-making in mobile robotics applications. The method generates the topometric map from a 2D grid-based map. The topometric map s
Externí odkaz:
http://arxiv.org/abs/2406.11635
This article introduces a novel method for converting 3D voxel maps, commonly utilized by robots for localization and navigation, into 2D occupancy maps for both unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). The generated 2D ma
Externí odkaz:
http://arxiv.org/abs/2406.07270
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
In this article, we propose a control solution for the safe transfer of a quadrotor UAV between two surface robots positioning itself only using the visual features on the surface robots, which enforces safety constraints for precise landing and visu
Externí odkaz:
http://arxiv.org/abs/2402.10729
The fifth generation (5G) cellular network technology is mature and increasingly utilized in many industrial and robotics applications, while an important functionality is the advanced Quality of Service (QoS) features. Despite the prevalence of 5G Q
Externí odkaz:
http://arxiv.org/abs/2402.06470
Autor:
Saucedo, Mario A. V., Patel, Akash, Saradagi, Akshit, Kanellakis, Christoforos, Nikolakopoulos, George
In this article, we propose the novel concept of Belief Scene Graphs, which are utility-driven extensions of partial 3D scene graphs, that enable efficient high-level task planning with partial information. We propose a graph-based learning methodolo
Externí odkaz:
http://arxiv.org/abs/2402.03840
Data-driven control has gained significant attention in recent years, particularly regarding feedback linearization of nonlinear systems. However, existing approaches face limitations when it comes to implementing them on hardware. The main challenge
Externí odkaz:
http://arxiv.org/abs/2307.06076
This article presents a novel approach to identifying and classifying intersections for semantic and topological mapping. More specifically, the proposed novel approach has the merit of generating a semantically meaningful map containing intersection
Externí odkaz:
http://arxiv.org/abs/2305.06767
Autor:
Saucedo, Mario A. V., Patel, Akash, Sawlekar, Rucha, Saradagi, Akshit, Kanellakis, Christoforos, Agha-Mohammadi, Ali-Akbar, Nikolakopoulos, George
In this article, we propose a novel LiDAR and event camera fusion modality for subterranean (SubT) environments for fast and precise object and human detection in a wide variety of adverse lighting conditions, such as low or no light, high-contrast z
Externí odkaz:
http://arxiv.org/abs/2304.08908
In this article, we propose a reactive task allocation architecture for a multi-agent system for scenarios where the tasks arrive at random times and are grouped into multiple queues. Two stage tasks are considered where every task has a beginning, a
Externí odkaz:
http://arxiv.org/abs/2304.02333