Design and Integration for High Performance Robotic Systems Based on Decomposition and Hybridization Approaches.

Area of Science:

• Robotics
• Mechanical Engineering
• Control Systems

Background:

• Current robotic systems face limitations in performance capabilities.
• Improving robotic mechanism performance remains a key research focus for the upcoming decade.

Purpose of the Study:

• To enhance robotic system performance via design and integration.
• To introduce novel approaches for kinematic and dynamic improvements in robotic mechanisms.

Main Methods:

• Structure synthesis design for improved kinematic and dynamic performance.
• Dynamic balancing using a reactionless reconfiguration concept to avoid added weight and inertia.
• Adaptive control approach employing a "divide and conquer" methodology for modular control system design.

Main Results:

• Proposed mechanisms with superior kinematic and dynamic performance.
• A reactionless dynamic balancing method addressing weight and inertia issues.
• A modularized control system adaptable to mechanism reconfiguration.

Conclusions:

• The integration of structure synthesis, dynamic balancing, and adaptive control significantly improves robotic performance.
• The reactionless reconfiguration concept offers a viable solution for dynamic balancing.
• Modular control systems enhance adaptability and functionality in advanced robotic mechanisms.