Advancements in Robotics
NVIDIA is pioneering robotics development through its Omniverse platform, which simulates real-world environments for AI-powered machines.
This approach accelerates the deployment of autonomous systems, combining physical AI with advanced simulation tools.
By integrating robotics with digital twins, NVIDIA supports the design and testing of robots in virtual environments.
This innovation addresses industries like logistics, healthcare, and manufacturing, emphasizing safety and efficiency.
NVIDIA’s robotics initiatives demonstrate its broader vision of combining AI, automation, and digital simulation.
- Artificial intelligence (AI)
AI is being used more and more in robotics and automation. AI-enabled robots can learn, adapt to changing environments, and perform tasks that were previously repetitive.
- Humanoid robots
These robots are being tested in workplaces to perform repetitive or unsafe tasks, and to work alongside humans.
- Medical robots
Medical robots use AI and sensors to navigate healthcare facilities, interact with humans, and perform precise movements.
- Collaborative robots
These robots work alongside people on assembly lines, and have advanced sensing systems that allow them to recognize human actions.
- Augmenting robots
These robots combine with the human body to supplement or replace a lost ability. For example, prosthetic legs have improved people’s quality of life.
- Autonomous mobile robots (AMRs)
These robots move around and make decisions in near real-time using sensors and cameras to gather information about their surroundings.
- Machine vision
Smart cameras mounted on robotic arms can monitor several parameters as the arm moves over a component.