International business machines corporation (20240278431). MAXIMIZING COLLABORATIVE EFFECTIVENESS AMONG MULTI-ROBOTS WITH DYNAMIC INTER-EXCHANGEABILITY simplified abstract
Contents
MAXIMIZING COLLABORATIVE EFFECTIVENESS AMONG MULTI-ROBOTS WITH DYNAMIC INTER-EXCHANGEABILITY
Organization Name
international business machines corporation
Inventor(s)
Sarbajit K. Rakshit of Kolkata (IN)
MAXIMIZING COLLABORATIVE EFFECTIVENESS AMONG MULTI-ROBOTS WITH DYNAMIC INTER-EXCHANGEABILITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240278431 titled 'MAXIMIZING COLLABORATIVE EFFECTIVENESS AMONG MULTI-ROBOTS WITH DYNAMIC INTER-EXCHANGEABILITY
- Simplified Explanation:**
The patent application describes a method, program, and system for maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability. It involves identifying interchangeable parts among robots, simulating scenarios using digital twin models, and optimizing collaboration by exchanging these parts between robots.
- Key Features and Innovation:**
- Identification of interchangeable parts among robots in a multi-robotic ecosystem - Use of digital twin models to simulate scenarios of exchanging parts between robots - Optimization of collaborative effectiveness by exchanging interchangeable parts based on simulation results - Instruction of robots to physically exchange parts to maximize collaboration
- Potential Applications:**
- Manufacturing processes where robots work together on complex tasks - Warehouse automation systems with multiple robots coordinating tasks - Search and rescue operations involving multiple robots working in unison
- Problems Solved:**
- Enhancing collaboration and efficiency among multi-robots - Facilitating dynamic interchangeability of parts to adapt to changing tasks - Optimizing resource utilization and task allocation in a multi-robotic environment
- Benefits:**
- Improved overall performance and productivity of multi-robot systems - Flexibility to reconfigure robots for different tasks quickly and efficiently - Enhanced adaptability to changing environmental conditions or task requirements
- Commercial Applications:**
Commercial Applications: The technology can be applied in industries such as manufacturing, logistics, and emergency response, where multiple robots need to collaborate effectively. Companies developing robotic systems for various applications could benefit from this innovation to enhance the performance and efficiency of their robots.
- Prior Art:**
Prior art related to this technology may include research on collaborative robotics, dynamic task allocation among robots, and simulation-based optimization methods for multi-robot systems. Researchers and developers in the field of robotics and automation can explore existing literature and patents to understand the evolution of similar concepts.
- Frequently Updated Research:**
Researchers in the field of robotics are constantly exploring new methods to improve collaboration and efficiency among multi-robot systems. Stay updated on the latest advancements in simulation technologies, task allocation algorithms, and human-robot interaction to enhance the performance of collaborative robots.
- Questions about Multi-Robot Collaboration:**
1. How does the technology of dynamic inter-exchangeability benefit the overall performance of multi-robot systems? 2. What are the key challenges in implementing and optimizing collaborative effectiveness among multiple robots with interchangeable parts?
Original Abstract Submitted
a computer-implemented method, a computer program product, and a computer system for maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability. a computer identifies inter-exchangeable parts among robots performing an activity in a multi-robotic ecosystem. a computer uses digital twin models to simulate scenarios of combining respective ones of the inter-exchangeable parts and respective ones of the robots. a computer identifies an optimum scenario in which collaborative effectiveness is maximized by exchanging the inter-exchangeable parts among the robots, based on results of digital twin model simulations. a computer, for the optimum scenario, identifies among the robots first robots whose inter-exchangeable parts are to be exchanged and one or more second robots that help the first robots exchange the inter-exchangeable parts. a computer instructs the first robots and the one or more second robots to perform physical exchange of the inter-exchangeable parts of the first robots.
