18150365. SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION simplified abstract (GM Global Technology Operations LLC)

SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION

Organization Name

GM Global Technology Operations LLC

Inventor(s)

Alireza Esna Ashari Esfahani of Novi MI (US)

SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18150365 titled 'SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION

A system for motion planning for a vehicle involves analyzing natural language commands related to the vehicle's environment to generate rules that impact driving actions.

• Processor analyzes text data representing natural language commands related to the vehicle's environment.
• System generates rules with condition criterion and result portions.
• Determines if potential driving actions contradict the rule's result portion.
• Generates driving action masks with mask parameters to adjust probabilities of selecting driving actions.
• Evaluates condition criterion to determine mask applicability.
• Uses driving action masks to make motion planning decisions for the vehicle.
• Evaluates rule expiration criterion to determine if a rule is expired.

1. 1. 1. Potential Applications

- Autonomous vehicles - Robotics - Traffic management systems

1. 1. 1. Problems Solved

- Enhances decision-making in motion planning for vehicles - Improves response to natural language commands in dynamic environments

1. 1. 1. Benefits

- Increased safety in vehicle operations - Enhanced efficiency in motion planning - Better integration of natural language processing in vehicle systems

1. 1. 1. Commercial Applications
         1. Title: Advanced Motion Planning System for Autonomous Vehicles

This technology can be utilized in autonomous vehicles for improved navigation and decision-making processes. It can also be integrated into robotics systems for enhanced task execution. The market implications include increased demand for advanced autonomous vehicle technologies and improved safety standards in transportation systems.

1. 1. 1. Prior Art

Research on natural language processing in autonomous vehicles and robotics systems can provide insights into similar technologies and approaches in motion planning systems.

1. 1. 1. Frequently Updated Research

Stay updated on advancements in natural language processing algorithms and technologies to enhance the performance of the motion planning system for vehicles.

1. 1. 1. 1. Questions about Motion Planning System

1. How does the system handle conflicting driving actions based on natural language commands? 2. What are the key factors influencing the selection of driving actions in the motion planning process?

Original Abstract Submitted

A system for motion planning for a vehicle includes a processor that is programmed to analyze text data representing a natural language command related to an environment of the vehicle. The system generates a rule with an associated condition criterion portion and a result portion. For each potential driving action of a set of potential driving actions of the vehicle, the system determines whether the potential driving action contradicts the result portion of the rule. A driving action mask is generated that includes, for each potential driving action of the set of potential driving actions of the vehicle, a corresponding mask parameter. If the potential driving action contradicts the result portion of the rule, then the corresponding mask parameter acts to decrease a probability of selection of that potential driving action in a motion planning decision. The condition criterion portion is evaluated to determine whether the mask is applicable and if the mask is applicable, the driving action mask is used to determine a motion planning decision for the vehicle. A rule expiration criterion may also be evaluated to determine whether a rule is expired.