20240051126. METHOD, SYSTEM, AND STORAGE MEDIUM FOR SELECTING GRASP POSTURE OF DUAL-ARM ROBOT simplified abstract (BEIHANG UNIVERSITY)
METHOD, SYSTEM, AND STORAGE MEDIUM FOR SELECTING GRASP POSTURE OF DUAL-ARM ROBOT
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METHOD, SYSTEM, AND STORAGE MEDIUM FOR SELECTING GRASP POSTURE OF DUAL-ARM ROBOT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240051126 titled 'METHOD, SYSTEM, AND STORAGE MEDIUM FOR SELECTING GRASP POSTURE OF DUAL-ARM ROBOT
Simplified Explanation
The abstract describes a method for selecting a grasp posture of a dual-arm robot through iterative calculations and gene retention strategies.
- Setting fitness value range, iteration quantity threshold, and fitness function
- Calculating fitness value of population
- Determining if population is within value range
- Ending iteration if population is within range, or continuing iteration based on threshold
- Performing crossover and mutation operations if threshold is not reached
- Dynamically selecting gene retention strategy based on iteration depth and fitness value
- Updating gene population representing grasping position cyclically
- Obtaining optimal target for dual arms after iteration
- Potential Applications
- Industrial automation
- Manufacturing processes
- Warehouse operations
- Problems Solved
- Efficient grasp posture selection for dual-arm robots
- Optimization of robotic manipulation tasks
- Benefits
- Increased productivity in tasks requiring robotic manipulation
- Improved accuracy and efficiency in grasping objects
- Adaptive and dynamic selection of grasp postures for different scenarios
Original Abstract Submitted
a method for selecting a grasp posture of a dual-arm robot includes: setting a fitness value range, an iteration quantity threshold, and a fitness function; calculating the fitness value of the population, determining whether the population is within the value range, ending an iteration if the population is within the value range or continuing to determine whether a quantity of iterations reaches the iteration quantity threshold if the population is not within the value range, ending the iteration if the quantity of iterations reaches the iteration quantity threshold or performing crossover and mutation operations if the quantity of iterations does not reach the iteration quantity threshold, and dynamically selecting a gene retention strategy based on an iteration depth and a fitness value to retain a gene; updating a gene population representing a grasping position and performing determining cyclically; and obtaining an optimal target corresponding to dual arms after the iteration.
