most citedSemantic and Topological Mapping using Intersection Identification

1 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cs.RO20241 cited

Voxel Map to Occupancy Map Conversion Using Free Space Projection for Efficient Map Representation for Aerial and Ground Robots

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

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 ve…

cs.RO2024

Environmental Awareness Dynamic 5G QoS for Retaining Real Time Constraints in Robotic Applications

Gerasimos Damigos, Akshit Saradagi, Sara Sandberg +1

The fifth generation (5G) cellular network technology is mature and increasingly utilized in many industrial and robotics applications, while an important functionality is the adva…

eess.SY2023

Model-Free Control Design for Feedback-Linearizable SISO Systems

Karthik Shenoy, Akshit Saradagi, Ramkrishna Pasumarthy +1

Data-driven control has gained significant attention in recent years, particularly regarding feedback linearization of nonlinear systems. However, existing approaches face limitati…

cs.RO20231 cited

Semantic and Topological Mapping using Intersection Identification

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

This article presents a novel approach to identifying and classifying intersections for semantic and topological mapping. More specifically, the proposed novel approach has the mer…

cs.RO2023

Event Camera and LiDAR based Human Tracking for Adverse Lighting Conditions in Subterranean Environments

Mario A. V. Saucedo, Akash Patel, Rucha Sawlekar +4

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…

cs.RO2023

Reactive Task Allocation for Balanced Servicing of Multiple Task Queues

Niklas Dahlquist, Akshit Saradagi, George Nikolakopoulos

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 queu…