Nvidia corporation (20240261971). VISION BASED ROBOT TELEOPERATION simplified abstract

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VISION BASED ROBOT TELEOPERATION

Organization Name

nvidia corporation

Inventor(s)

Yuzhe Qin of San Diego CA (US)

Wei Yang of Lake Forest Park WA (US)

Yu-Wei Chao of Redmond WA (US)

Dieter Fox of Seattle WA (US)

VISION BASED ROBOT TELEOPERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240261971 titled 'VISION BASED ROBOT TELEOPERATION

Simplified Explanation: This patent application describes apparatuses, systems, and techniques for generating control commands based on images depicting a hand.

Key Features and Innovation:

  • Control commands are generated using images of a hand.
  • The technology allows for precise control based on hand gestures.
  • Can be used in various applications such as virtual reality, robotics, and human-computer interaction.

Potential Applications: The technology can be applied in:

  • Virtual reality gaming
  • Gesture-based control systems
  • Robotics for human-robot interaction

Problems Solved: This technology addresses the need for intuitive and precise control mechanisms in various applications.

Benefits:

  • Enhanced user experience through natural hand gestures
  • Improved control accuracy in different systems
  • Increased efficiency in human-computer interactions

Commercial Applications: Potential commercial uses include:

  • Gaming industry for immersive experiences
  • Robotics companies for advanced control systems
  • Tech companies for innovative human-computer interfaces

Prior Art: Readers can explore prior art related to hand gesture recognition systems and control mechanisms in the fields of computer vision and human-computer interaction.

Frequently Updated Research: Stay updated on the latest advancements in hand gesture recognition technology and its applications in various industries.

Questions about Hand Gesture Recognition Technology: 1. How does hand gesture recognition technology improve user interactions with devices? 2. What are the challenges in implementing hand gesture recognition in different applications?


Original Abstract Submitted

apparatuses, systems, and techniques to generate control commands. in at least one embodiment, control commands are generated based on, for example, one or more images depicting a hand.