Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph
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Updated
Oct 11, 2024 - C++
Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph
Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential applications in search and rescue, agriculture, and logistics, and represents an important step forward in autonomous ground vehicle development.
A Python library for Robotic Information Gathering
SplatPlanner, Rapid, Classic three autonomous exploration planners (quadrotors / MAV) methods.
Autonomous exploration on mobile robots using Topology-Grid Hybrid Map
Catkin workspace used to autonomously explore environments using the GRADE framework.
Target generation system for autonomous exploration of mobile robots in unknown indoor environments.
Leveraging Deep Learnt Scene Completion for Fast Autonomous Exploration Planning and Mapping
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