For robotics to work effectively, it needs to understand the physical environment around it, which is a significant challenge that has historically held back progress.

Robotics is an area ripe for innovation, as it currently feels like where AI was a few years ago, presenting opportunities for new companies to emerge. The advancements in robotics are nearing commercialization, with significant research challenges being addressed in the coming months or years.

We need to address the challenges of the Physical Turing Test, as current robotics struggle to perform tasks that humans can do effortlessly.

In robotics, clear perception of the environment enhances performance, leading us to conduct experiments with both real and simulated robots.

We are committed to driving innovation in robotics by combining AI with robotics, which is where the next significant advancements will occur.

Data collection for robotics is challenging; we can't scrape the necessary data from the internet, and we rely on expensive teleoperation methods to teach robots.

The bottleneck in robotics is not the hardware but the software intelligence that drives it.

Robotics is progressing rapidly, and with the integration of AI, we can expect robots to communicate and interact with humans more effectively.

Robots struggle to grasp arbitrary objects, as current solutions are often hand-coded for specific items rather than adaptable to any object.