Intel corporation (20240318964). ENHANCED NAVIGATION, LOCALIZATION, AND PATH PLANNING FOR AUTONOMOUS ROBOTS simplified abstract
Contents
ENHANCED NAVIGATION, LOCALIZATION, AND PATH PLANNING FOR AUTONOMOUS ROBOTS
Organization Name
Inventor(s)
Mirela Ecaterina Stoica of Ottobrunn (DE)
ENHANCED NAVIGATION, LOCALIZATION, AND PATH PLANNING FOR AUTONOMOUS ROBOTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240318964 titled 'ENHANCED NAVIGATION, LOCALIZATION, AND PATH PLANNING FOR AUTONOMOUS ROBOTS
The patent application describes devices, methods, and systems for navigating and positioning an autonomous robot within a map of an environment. The system utilizes an occupancy grid associated with the environment to determine potential destinations for the robot based on distance and directional deviation from a reference point.
- The system obtains an occupancy grid with grid points of potential destinations for the robot.
- For each grid point, a weight is determined based on distance from a reference point and directional deviation.
- A target point is selected based on the weight, and a movement instruction is generated to move the robot towards the target point.
Potential Applications: - Autonomous navigation systems for robots in various industries such as logistics, manufacturing, and healthcare. - Mapping and positioning technology for drones and other unmanned aerial vehicles.
Problems Solved: - Efficient navigation and positioning of autonomous robots in complex environments. - Optimization of movement instructions for robots to reach desired destinations accurately.
Benefits: - Increased productivity and efficiency in tasks performed by autonomous robots. - Enhanced safety and accuracy in navigating through dynamic environments.
Commercial Applications: Title: Autonomous Robot Navigation System for Industrial Applications This technology can be used in warehouse automation, delivery services, and surveillance systems to improve operational efficiency and reduce human intervention.
Prior Art: Researchers can explore existing patents related to autonomous robot navigation systems, occupancy grid mapping, and robotic movement algorithms.
Frequently Updated Research: Stay updated on advancements in artificial intelligence, machine learning, and sensor technology to enhance the capabilities of autonomous robot navigation systems.
Questions about Autonomous Robot Navigation Systems: 1. How does this technology improve the precision and accuracy of autonomous robot movements? 2. What are the potential challenges faced in implementing this navigation system in real-world environments?
Original Abstract Submitted
disclosed herein are devices, methods, and systems for navigating and positioning an autonomous robot within a map of an environment. the system may obtain an occupancy grid associated with the environment around the robot, wherein the occupancy grid includes grid points of potential destinations for the robot. the system may determine, for each grid point of the grid points of potential destinations, a weight for the grid point based on a distance to the grid point from a predefined reference point and based on a directional deviation to the grid point, where the directional deviation comprises an angular difference between a current heading of the robot and an angular direction from the reference point toward the grid point. the system may select, based on the weight, a target point from among the grid points and generate a movement instruction associated with moving the robot toward the target point.
