18290831. ROBOTIC TASK PLANNING simplified abstract (Siemens Aktiengesellschaft)

ROBOTIC TASK PLANNING

Organization Name

Siemens Aktiengesellschaft

Inventor(s)

Juan L. Aparicio Ojea of Moraga CA (US)

Heiko Claussen of Wayland MA (US)

Ines Ugalde Diaz of Redwood City CA (US)

Martin Sehr of Kensington CA (US)

Eugen Solowjow of Berkeley CA (US)

Chengtao Wen of Redwood City CA (US)

Wei Xi Xia of Daly City CA (US)

Xiaowen Yu of Union City CA (US)

Shashank Tamaskar of Mohali, Punjab (IN)

ROBOTIC TASK PLANNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18290831 titled 'ROBOTIC TASK PLANNING

The abstract of this patent application highlights the need for autonomous systems to perform tasks that require multiple steps or a sequence of motions, beyond simple grasping and manipulation operations. The autonomous system, which includes a robot, can perform various tasks such as object recognition, pose estimation, affordance analysis, decision-making, probabilistic task or motion planning, and object manipulation.

• Object recognition, pose estimation, affordance analysis, decision-making, probabilistic task or motion planning, and object manipulation are key features of this innovation.
• The technology enables robots to plan and execute complex tasks that involve multiple steps or motions.
• This innovation expands the capabilities of autonomous systems beyond simple grasping and manipulation operations.

Potential Applications:

• Assembly tasks in robotics that require multiple steps or motions.
• Industrial automation for complex manufacturing processes.
• Autonomous navigation and manipulation in unstructured environments.

Problems Solved:

• Limited capabilities of current autonomous systems in performing tasks that require multiple steps.
• Lack of efficient planning and execution of complex tasks in robotics.

Benefits:

• Improved efficiency and accuracy in performing complex tasks.
• Enhanced capabilities of autonomous systems in various industries.
• Increased productivity and flexibility in automation processes.

Commercial Applications:

• This technology can be applied in industries such as manufacturing, logistics, and healthcare for automating complex tasks.
• It has the potential to revolutionize the way autonomous systems operate in various fields, leading to increased efficiency and productivity.

Prior Art: Prior research in the field of robotics and automation may provide insights into similar technologies or approaches to planning and executing complex tasks in autonomous systems.

Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to enhance the capabilities of autonomous systems in performing complex tasks efficiently and accurately.

Questions about the technology: 1. How does this innovation improve the efficiency of autonomous systems in performing complex tasks? 2. What are the potential challenges in implementing this technology in real-world applications?

Original Abstract Submitted

It is recognized herein that current approaches to autonomous operations are often limited to grasping and manipulation operations that can be performed in a single step. It is further recognized herein that there are various operations in robotics (e.g., assembly tasks) that require multiple steps or a sequence of motions to be performed. To determine or plan a sequence of motions for fulfilling a task, an autonomous system that includes a robot can perform object recognition, pose estimation, affordance analysis, decision-making, probabilistic task or motion planning, and object manipulation.