Hoang-Dung Bui

Hoang-Dung Bui

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APE

Keeping Robot Teams Connected: A New Approach to Multi-Agent Pathfinding

Published:

Imagine a team of rescue robots navigating through a disaster zone, or a fleet of autonomous vehicles coordinating deliveries in a dense urban environment. In these scenarios, maintaining constant communication between all team members isn’t just helpful—it’s essential for mission success and safety. But how do you plan paths for multiple agents that need to stay connected while navigating complex environments with obstacles (Multi-Agent Pathfinding under Team-Connected Communication Constraints-MAT3C)?

DL

Keeping Robot Teams Connected: A New Approach to Multi-Agent Pathfinding

Published:

Imagine a team of rescue robots navigating through a disaster zone, or a fleet of autonomous vehicles coordinating deliveries in a dense urban environment. In these scenarios, maintaining constant communication between all team members isn’t just helpful—it’s essential for mission success and safety. But how do you plan paths for multiple agents that need to stay connected while navigating complex environments with obstacles (Multi-Agent Pathfinding under Team-Connected Communication Constraints-MAT3C)?

DYNAMICS

Navigating the unknown: A New Framework for Multi-Robot Motion Planning in Partially Mapped Environments

Published:

Imagine a team of autonomous robots exploring a disaster zone, searching for survivors in a building where the layout is completely unknown. Each robot must navigate around debris, avoid colliding with teammates, and dynamically adapt their paths as they discover new obstacles through their sensors. This scenario represents one of the most challenging problems in robotics: multi-robot motion planning in unknown environments.

MAPF

Keeping Robot Teams Connected: A New Approach to Multi-Agent Pathfinding

Published:

Imagine a team of rescue robots navigating through a disaster zone, or a fleet of autonomous vehicles coordinating deliveries in a dense urban environment. In these scenarios, maintaining constant communication between all team members isn’t just helpful—it’s essential for mission success and safety. But how do you plan paths for multiple agents that need to stay connected while navigating complex environments with obstacles (Multi-Agent Pathfinding under Team-Connected Communication Constraints-MAT3C)?

MAT3C

Keeping Robot Teams Connected: A New Approach to Multi-Agent Pathfinding

Published:

Imagine a team of rescue robots navigating through a disaster zone, or a fleet of autonomous vehicles coordinating deliveries in a dense urban environment. In these scenarios, maintaining constant communication between all team members isn’t just helpful—it’s essential for mission success and safety. But how do you plan paths for multiple agents that need to stay connected while navigating complex environments with obstacles (Multi-Agent Pathfinding under Team-Connected Communication Constraints-MAT3C)?

MRMP

Navigating the unknown: A New Framework for Multi-Robot Motion Planning in Partially Mapped Environments

Published:

Imagine a team of autonomous robots exploring a disaster zone, searching for survivors in a building where the layout is completely unknown. Each robot must navigate around debris, avoid colliding with teammates, and dynamically adapt their paths as they discover new obstacles through their sensors. This scenario represents one of the most challenging problems in robotics: multi-robot motion planning in unknown environments.

UNKNOWN

Navigating the unknown: A New Framework for Multi-Robot Motion Planning in Partially Mapped Environments

Published:

Imagine a team of autonomous robots exploring a disaster zone, searching for survivors in a building where the layout is completely unknown. Each robot must navigate around debris, avoid colliding with teammates, and dynamically adapt their paths as they discover new obstacles through their sensors. This scenario represents one of the most challenging problems in robotics: multi-robot motion planning in unknown environments.