collaborators

7 papers

cs.RO2025

Traversability-aware path planning in dynamic environments

Yaroslav Marchukov, Luis Montano

Planning in environments with moving obstacles remains a significant challenge in robotics. While many works focus on navigation and path planning in obstacle-dense spaces, travers…

cs.RO2025

Fast and scalable multi-robot deployment planning under connectivity constraints

Yaroslav Marchukov, Luis Montano

In this paper we develop a method to coordinate the deployment of a multi-robot team to reach some locations of interest, so-called primary goals, and to transmit the information f…

cs.RO2025

Multi-agent coordination for data gathering with periodic requests and deliveries

Yaroslav Marchukov, Luis Montano

In this demo work we develop a method to plan and coordinate a multi-agent team to gather information on demand. The data is periodically requested by a static Operation Center (OC…

cs.RO2025

Communication-aware planning for robot teams deployment

Yaroslav Marchukov, Luis Montano

In the present work we address the problem of deploying a team of robots in a scenario where some locations of interest must be reached. Thus, a planning for a deployment is requir…

cs.RO2025

Multi-robot coordination for connectivity recovery after unpredictable environment changes

Yaroslav Marchukov, Luis Montano

In the present paper we develop a distributed method to reconnect a multi-robot team after connectivity failures, caused by unpredictable environment changes, i.e. appearance of ne…

cs.RO2025

Multi-agent coordination for on-demand data gathering with periodic information upload

Yaroslav Marchukov, Luis Montano

In this paper we develop a method for planning and coordinating a multi-agent team deployment to periodically gather information on demand. A static operation center (OC) periodica…