Recent advancements in autonomous mobile robots (AMRs), such as aerial drones, ground
vehicles, and quadrupedal robots, have significantly impacted the fields of infrastructure …

We consider the problem of multi-robot, multi-goal path planning in cluttered environments,
motivated by scenarios including surveillance, object search, and package delivery in …

Coordinated navigation of an arbitrary number of robots to an arbitrary number of goals is a
big challenge in robotics, often hindered by scalability limitations of existing strategies. This …

Unstructured environments such as mountains, caves, construction sites, or disaster areas
are challenging for autonomous navigation because of terrain irregularities. In particular, it is …

Challenges in real-world robotic applications often stem from managing multiple,
dynamically varying entities such as neighboring robots, manipulable objects, and …

This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-
hard traveling salesman problem (TSP), in environments with both static and dynamic …

Accurate traversability estimation using an online dense terrain map is crucial for safe
navigation in challenging environments like construction and disaster areas. However …

In complex disaster scenarios, efficient multi-objective path planning is critical for the
success of rescue missions. Existing path planning methods often face challenges of …

As robotics increasingly integrates into technical and industrial fields, seamless and
accessible human-robot interactions become crucial. Current teleoperation models pose …