18311792. METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18311792 titled 'METHOD AND APPARATUS FOR COLLABORATIVE TASK PLANNING FOR ARTIFICIAL INTELLIGENCE AGENTS
Simplified Explanation
The method described in the abstract involves task planning for collaboration of AI agents by generating a scene graph from an image and human instruction, and then creating a machine instruction set based on the scene graph.
- The method involves generating a scene graph using an image and human instruction.
- It includes generating a machine instruction set for objects in the scene graph.
- The scene graph contains relevance information between objects and the human instruction.
Potential Applications
This technology could be applied in various fields such as robotics, computer vision, and natural language processing for improved collaboration between AI agents.
Problems Solved
This technology helps in enhancing the coordination and communication between AI agents and humans, leading to more efficient task planning and execution.
Benefits
The method improves the understanding and interpretation of human instructions by AI agents, resulting in better collaboration and performance in various tasks.
Potential Commercial Applications
Potential commercial applications of this technology include automated manufacturing processes, smart home systems, and virtual assistants for personalized task management.
Possible Prior Art
One possible prior art could be the use of scene graphs in computer vision and robotics for object recognition and manipulation tasks.
Unanswered Questions
How does the method handle complex scenes with multiple objects and interactions?
The article does not provide specific details on how the method deals with complex scenes involving numerous objects and intricate relationships between them.
What are the limitations of the method in terms of scalability and real-time processing?
The article does not address the potential limitations of the method when applied to large-scale scenes or time-sensitive tasks.
Original Abstract Submitted
Disclosed herein is a method for task planning for collaboration of artificial intelligence (AI) agents. The method includes generating a scene graph using an image acquired by an AI agent and a human instruction and generating a machine instruction set for objects in the scene graph, and the scene graph includes relevance information between each of the objects in the scene graph and the human instruction.
