How NVIDIA’s Jetson TX1 is Making Robots Smarter
Jesse Clayton, NVIDIA's product manager of autonomous machines, joined the Robotics Trends Show to discuss why robots need to be smarter, the challenges involved in doing that, and how the Jetson TX1 can help.
But, essentially, those are all pre-programmed functions, right? To make robots smarter and more autonomous, we need to get away from the concept of using smartphones as the brains of robots. As Lux analyst Maryanna Saenko told me, “Let’s get away from the smartphone on wheels. That’s a really limiting approach.”
And NVIDIA is trying to do just that with its Jetson TX1 module, a credit card-sized supercomputer that uses machine learning in hopes of building smarter autonomous robots. Devices that use the TX1, NVIDIA says, can learn from the environment to navigate safely, identify and classify objects of interest, and perform 3D mapping and scene modeling.
Jesse Clayton, NVIDIA’s product manager of autonomous machines, joined the Robotics Trends Show to discuss why robots need to be smarter, the challenges involved in doing that, and how the Jetson TX1 can help.
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- Hosts: Steve Crowe, Jesse Clayton
- Duration: 25:35
- Coming up with Jetson TX1 Name 1:22
- What Makes the Jetson TX1 Unique 2:28
- Improving Battery Life for Robots 4:21
- Developer Community for TX1 6:26
- Jetson TK1’s Role in Jibo 10:53
- Kids Using Jibo’s SDK 12:42
- 3 Main Challenges for Social Robots 13:17
- Upgrading Jibo’s Performance 15:48
- How to Improve DRC-HUBO 17:21
- Boston Dynamics Sale a Bad Sign for Robots? 20:00
- Future Improvements for TX1 21:19
- Robots and Deep Learning at GPU 22:54