18146079. TRAJECTORY PLANNING SYSTEMS AND METHODS simplified abstract (Intel Corporation)
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 18146079 titled 'TRAJECTORY PLANNING SYSTEMS AND METHODS
Simplified Explanation: The patent application describes techniques for trajectory planning of robots, specifically collaborative robots (cobots). A controller of a robot includes a path planner, a trajectory generator, and a trajectory controller to determine and control the robot's trajectory.
- The path planner identifies waypoints defining a path between the initial and goal poses of the robot.
- The trajectory generator calculates a trajectory based on the waypoints and specific trajectory criteria.
- The trajectory controller generates a control signal to guide the robot along the determined trajectory.
Key Features and Innovation:
- Trajectory planning techniques for robots, particularly collaborative robots.
- Integration of a path planner, trajectory generator, and trajectory controller in the robot's controller system.
- Determination of waypoints, trajectory, and control signals for efficient robot movement.
Potential Applications:
- Manufacturing processes
- Warehouse automation
- Assembly line operations
Problems Solved:
- Efficient trajectory planning for robots
- Improved collaboration between robots and human operators
- Enhanced productivity and safety in industrial settings
Benefits:
- Increased efficiency in robot movements
- Enhanced safety for human-robot interactions
- Optimized workflow in various industries
Commercial Applications: Commercial Applications: Trajectory planning techniques for collaborative robots can revolutionize industries such as manufacturing, logistics, and automation. Companies can streamline operations, improve productivity, and ensure worker safety by implementing these innovative technologies.
Prior Art: Prior Art: Researchers and developers in the field of robotics have explored various trajectory planning methods for robots. Previous studies have focused on optimizing robot movements, enhancing collaboration with human operators, and improving overall efficiency in industrial applications.
Frequently Updated Research: Frequently Updated Research: Ongoing research in the field of collaborative robotics continues to advance trajectory planning techniques, focusing on real-time adjustments, adaptive control strategies, and human-robot interaction studies.
Questions about Trajectory Planning of Robots: 1. How do trajectory planning techniques for robots improve efficiency in industrial operations? 2. What are the key components of a robot controller system for trajectory planning?
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.
