Long-term navigation for service robots faces crit- ical challenges like the accumulation of odometry drift and sensor error, which progressively degrade 2D maps and renders traditional path planning algorithms (e.g., A*, RRT*, DiPPer, ViT-A*) ineffective over time. To address this, we propose a user-friendly, interact...
Praveen Kumar, K. Guruprasad, Tushar Sandhan· 0 citations
The deployment of Artificial Intelligence (AI)-based autonomous mobile robots in high-stakes environments, such as defense swarms and large-scale warehouse logistics, demands path planners that are not only theoretically optimal but scalable. While traditional search-based methods like A* guarantee resolution optimalit...