Nvidia corporation (20240131706). COLLISION-FREE MOTION GENERATION simplified abstract
Contents
- 1 COLLISION-FREE MOTION GENERATION
COLLISION-FREE MOTION GENERATION
Organization Name
Inventor(s)
Balakumar Sundaralingam of Seattle WA (US)
Siva Kumar Sastry Hari of Sunnyvale CA (US)
Adam Harper Fishman of Seattle WA (US)
Caelan Reed Garrett of Seattle WA (US)
Alexander James Millane of Zurich (CH)
Elena Oleynikova of Zurich (CH)
Ankur Handa of Seattle WA (US)
Fabio Tozeto Ramos of Seattle WA (US)
Nathan Donald Ratliff of Seattle WA (US)
Karl Van Wyk of Issaquah WA (US)
COLLISION-FREE MOTION GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240131706 titled 'COLLISION-FREE MOTION GENERATION
Simplified Explanation
The patent application focuses on apparatuses, systems, and techniques for performing collision-free motion generation, particularly for operating real-world or virtual robots. In one embodiment, a portion of the collision-free motion generation is done in parallel.
- Collision-free motion generation for robots
- Apparatuses, systems, and techniques for real-world or virtual robots
- Parallel processing for collision-free motion generation
Potential Applications
The technology can be applied in various industries such as manufacturing, healthcare, logistics, and entertainment where robots are used for tasks that require precise and safe motion planning.
Problems Solved
1. Ensures robots can move without colliding with obstacles or other robots, increasing safety and efficiency. 2. Enables robots to navigate complex environments autonomously, reducing the need for human intervention.
Benefits
1. Improved safety in robot operations. 2. Increased productivity and efficiency in various industries. 3. Autonomous navigation capabilities for robots.
Potential Commercial Applications
Optimizing warehouse operations, enhancing medical procedures, streamlining manufacturing processes, and improving entertainment experiences through advanced robot motion planning technology.
Possible Prior Art
Prior art in the field of robotics may include research papers, patents, or commercial products that focus on collision-free motion planning for robots. One example could be motion planning algorithms used in autonomous vehicles.
Unanswered Questions
How does the technology handle dynamic environments where obstacles may move unpredictably?
The patent abstract does not specifically address how the technology adapts to dynamic environments where obstacles can change position or appear suddenly.
What types of sensors or data inputs are used to ensure accurate collision-free motion planning?
The abstract does not provide details on the specific sensors or data inputs utilized in the collision-free motion generation process.
Original Abstract Submitted
apparatuses, systems, and techniques to perform collision-free motion generation (e.g., to operate a real-world or virtual robot). in at least one embodiment, at least a portion of the collision-free motion generation is performed in parallel.
- Nvidia corporation
- Balakumar Sundaralingam of Seattle WA (US)
- Siva Kumar Sastry Hari of Sunnyvale CA (US)
- Adam Harper Fishman of Seattle WA (US)
- Caelan Reed Garrett of Seattle WA (US)
- Alexander James Millane of Zurich (CH)
- Elena Oleynikova of Zurich (CH)
- Ankur Handa of Seattle WA (US)
- Fabio Tozeto Ramos of Seattle WA (US)
- Nathan Donald Ratliff of Seattle WA (US)
- Karl Van Wyk of Issaquah WA (US)
- Dieter Fox of Seattle WA (US)
- B25J9/16