Exploring the Future of Robotics Q&A with Metas Dhruv Batra


Robotics Q&A with Metas Dhruv Batra, In a series of exclusive Q&A sessions, TechCrunch’s robotics newsletter, Actuator, engages with some of the leading minds in the field of robotics. In this edition, we delve into the insights of Dhruv Batra, the research director at FAIR (The Fundamental AI Research) at Meta. As we explore the intersection of generative AI and robotics, Batra shares his perspectives on the humanoid form factor, the timeline for true general-purpose robots, the readiness of home robots, and underreported trends in the robotics landscape.

Understanding the Role of Generative AI in Robotics

Generative AI, a powerful force in advancing artificial intelligence, holds significant promise for the future of robotics. Dhruv Batra identifies two pivotal roles for generative AI in embodied AI and robotics research:

  1. Data/Experience Generators: Batra envisions generative AI as a tool for creating 2D images, videos, 3D scenes, or 4D simulated experiences for training robots. These “learned simulators” become essential as real-world experience is scarce in robotics, providing a scalable solution for training and testing in simulation.
  2. Architectures for Self-Supervised Learning: Another key role is in generating sensory observations for future comparison against actual observations. This serves as an annotation-free signal for learning and plays a crucial role in advancing self-supervised learning architectures.

Bullish on the Humanoid Form Factor

Batra expresses optimism about the humanoid form factor, highlighting its fundamental compatibility with human environments. He sees it as a necessity for general-purpose robots that operate in spaces designed for humans. While acknowledging potential enhancements such as additional sensors and appendages, Batra underscores the humanoid form factor’s importance in creating versatile robots.

The Timeline for True General-Purpose Robots

Addressing the question of when we can expect true general-purpose robots, Batra provides a conservative estimate of thirty years. He emphasizes the challenges in making accurate forecasts beyond this timeframe and urges skepticism toward bold claims of imminent achievement of Artificial General Intelligence (AGI).

The Readiness of Home Robots

Contrary to the rapid advancements in various tech domains, Batra expresses reservations about the readiness of core technology for home robots, excluding vacuum cleaners, to take off in the next decade. He suggests that the foundational elements required for seamless integration of robots into home environments are not yet fully developed.

Underreported Trends in Future of Robotics

Batra draws attention to an underreported trend in the robotics landscape — the successful testing of navigation robots in real homes. Unlike self-driving cars that rely on precise maps built over extensive distances, in-home navigation robots face the challenge of navigating new environments without prior mapping. Batra highlights the significance of this achievement, showcasing the progress in making robots adaptable to dynamic home settings.


As we navigate the evolving realm of robotics, insights from experts like Dhruv Batra offer a glimpse into the future. The synergy between generative AI and robotics, the potential of the humanoid form factor, cautious optimism about general-purpose robots, and the nuances of home robot readiness provide valuable perspectives. Additionally, shedding light on underreported trends emphasizes the continuous evolution within the robotics landscape

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