news.volyx.in

Gemini Robotics 2 brings whole body intelligence to robots (deepmind.google)

619 points by ai2027 · 28 days ago · 557 comments on HN

Article summary

Gemini Robotics 2 is a new AI system that enables robots to learn and adapt to complex tasks, such as whole-body control, fine dexterity, and teamwork. The system consists of three models: Gemini Robotics 2, Gemini Robotics ER 2, and Gemini Robotics On-Device 2, which work together to enable robots to reason, act, and interact intelligently. The system has been demonstrated to control various robotic embodiments and perform tasks such as walking, manipulating objects, and collaborating with other robots. The goal of Gemini Robotics 2 is to unlock general-purpose physical AI that can work alongside humans to solve complex challenges.

Main themes

  • Robotics and AI
  • Autonomous Systems
  • Whole-Body Control
  • Dexterous Manipulation
  • Multi-Robot Collaboration
  • Safety and Responsibility

What commenters say

  • The development of robots with advanced capabilities like Gemini Robotics 2 raises concerns about safety and potential misuse.
  • Some commenters are skeptical about the current state of robotics and AI, citing the gap between demos and real-world usability.
  • Others believe that progress in robotics and AI is rapid and will soon lead to significant advancements in areas like autonomous driving and household robotics.
  • There are differing opinions on the potential for robots to replace human workers, with some seeing it as a threat and others as an opportunity.
  • The importance of releasing models and weights for researchers to work with and build upon is debated, with some arguing it would accelerate progress and others seeing it as unnecessary or even counterproductive.
  • Some commenters question the reliability and accuracy of claims made by robotics companies, citing the potential for exaggerated or misleading demos.
  • The comparison between Google's approach to robotics and AI and that of other companies, such as Tesla, is seen as relevant to understanding the current state of the field and its future directions.
  • The potential for robots to interact safely and effectively with humans is seen as a major challenge that requires significant advances in areas like control and sensing.