This paper develops a method to help 3D diffusion policies anticipate the future trajectory of an interaction, allowing them to generate more effective actions. Practitioners caring about robotics or manipulation tasks may benefit from this approach, as it can lead to improved performance in tasks like picking and placing objects.
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This paper develops a framework called DeformSmith that generates deformable assets for robots, such as 3D models with realistic physical behavior, to simulate and interact with in the real world. Practitioners in robotics and computer vision might care about DeformSmith because it can help create more realistic and interactive simulations of deformable objects.
This paper evaluates the ability of general-purpose models to understand and act on spatial intelligence through visual demonstrations, active perception, and metric control. Practitioners might care about this research because it can help develop models that can effectively navigate and interact with their environment.
This paper develops a framework for robots to learn from context without relying on pre-programmed demonstrations, allowing them to adapt to new environments. Practitioners might care because this technology could enable robots to perform tasks more efficiently and effectively in real-world situations.
Lip Bu Tan, CEO of Intel, discusses his mission to turn around the iconic semiconductor company by fostering a startup culture, prioritizing customer satisfaction, and driving accountability. He details Intel's strategy to strengthen its ba…