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Found 6 papers, 2 papers with code
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense
In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximize the capture of intruders.
Vision-based Perimeter Defense via Multiview Pose Estimation
Previous studies in the perimeter defense game have largely focused on the fully observable setting where the true player states are known to all players.
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks
We consider the problem of finding decentralized strategies for multi-agent perimeter defense games.
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory
This paper describes an end-to-end pipeline for tree diameter estimation based on semantic segmentation and lidar odometry and mapping.
Mine Tunnel Exploration using Multiple Quadrupedal Robots
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees of autonomy and agility.
Robotics
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection.
