Intel corporation (20240217103). TRAJECTORY PLANNING SYSTEMS AND METHODS simplified abstract
Contents
TRAJECTORY PLANNING SYSTEMS AND METHODS
Organization Name
Inventor(s)
David Gomez Gutierrez of Tlaquepaque (MX)
Leobardo Campos Macias of Guadalajara (MX)
Christopher Cruz Ancona of Coyoacan (MX)
Rafael De La Guardia Gonzalez of Teuchitlan (MX)
Javier Felip Leon of Hillsboro OR (US)
TRAJECTORY PLANNING SYSTEMS AND METHODS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240217103 titled 'TRAJECTORY PLANNING SYSTEMS AND METHODS
The abstract describes techniques for trajectory planning of robots, including collaborative robots (cobots). A controller of a robot may consist of a path planner, a trajectory generator, and a trajectory controller. The path planner determines waypoints defining a path between the initial and goal poses of the robot. The trajectory generator calculates a trajectory based on the waypoints and trajectory criteria, while the trajectory controller generates a control signal to control the robot based on the determined trajectory.
- Path planner determines waypoints for robot path
- Trajectory generator calculates trajectory based on waypoints and criteria
- Trajectory controller generates control signal for robot based on trajectory
Potential Applications: - Industrial automation - Manufacturing processes - Warehouse logistics
Problems Solved: - Efficient path planning for robots - Smooth trajectory generation - Precise control of robot movements
Benefits: - Increased productivity - Enhanced safety in collaborative robot environments - Optimized use of robot resources
Commercial Applications: Title: "Advanced Trajectory Planning Technology for Robots" This technology can be utilized in various industries such as manufacturing, logistics, and healthcare for improving efficiency and safety in robot operations. The market implications include cost savings, increased productivity, and enhanced competitiveness for businesses.
Questions about trajectory planning technology: 1. How does trajectory planning benefit collaborative robot environments?
- Trajectory planning ensures smooth and safe movements of robots in shared workspaces, reducing the risk of accidents and improving overall efficiency.
2. What are the key factors considered in determining waypoints for robot paths?
- Waypoints are determined based on factors such as obstacle avoidance, distance optimization, and task requirements to ensure an optimal path for the robot.
Original Abstract Submitted
techniques are disclosed for a trajectory planning of robots, such as collaborative robots (cobots). a controller of a robot may include a path planner, a trajectory generator, and a trajectory controller. the path planner may determine a plurality of waypoints defining a path between an initial pose of the robot and a goal pose of the robot. the trajectory generator may determine a trajectory between the initial pose and the goal pose based on the waypoints and one or more trajectory criterion. the trajectory controller may generate a control signal to control the robot based on the determined trajectory.
