DeepMind prioritizes safety. Gemini Robotics-ER interfaces with low-level safety controllers, preventing collisions and limiting forces.
Gemini Robotics: AI’s Physical Leap
Google DeepMind recently introduced Gemini Robotics, a groundbreaking AI model designed to control robots. This isn’t just another AI; it’s a model that bridges the gap between the digital and physical worlds, allowing AI to directly interact with and manipulate our environment.
Gemini’s Key Abilities: Generality, Interactivity, and Dexterity
Gemini Robotics boasts three critical qualities. First, its generality allows it to adapt to various situations and tasks, even those unseen during training. Secondly, its interactivity enables seamless interaction with humans and environments, responding to commands in various languages. Thirdly, its impressive dexterity allows it to perform complex tasks requiring precise movements, like origami or packing a snack.
Adapting to Different Robots
Moreover, Gemini Robotics’ adaptability extends to various robot types. Trained primarily on a bi-arm robotic platform, it can also control other robot arms and even humanoid robots, making it versatile and adaptable. Indeed, this adaptability truly emphasizes the model’s flexibility and potential for future applications.
Gemini Robotics-ER: Enhanced Spatial Understanding
Alongside Gemini Robotics, DeepMind introduced Gemini Robotics-ER (Embodied Reasoning). This model significantly improves spatial reasoning, allowing roboticists to integrate it with existing controllers. Gemini Robotics-ER excels at tasks like object detection, 3D perception, and planning safe trajectories for robot movement. This represents a leap towards AI’s ability to perform useful and reliable work in the physical world.
Safety First: A Layered Approach
DeepMind prioritizes safety. Gemini Robotics-ER interfaces with low-level safety controllers, preventing collisions and limiting forces. Furthermore, the model assesses the safety of actions before execution. Additionally, to enhance safety research, a new dataset, ASIMOV, has been released. This dataset will aid in evaluating and improving the semantic safety of embodied AI and robotics.
The Future of Robotics
Gemini Robotics and Gemini Robotics-ER represent significant advancements in AI and robotics. These models’ abilities promise to revolutionize industries and create more efficient and capable robots. In fact, these advancements are pushing the boundaries of what’s possible, paving the way for a future where AI seamlessly integrates with our physical reality. As Alan Turing wisely observed, We can only see a short distance ahead, but we can see plenty there that needs to be done.
References
Google DeepMind. (2025, March 12). Gemini Robotics brings AI into the physical world. Google DeepMind Blog. https://deepmind.google/discover/blog/gemini-robotics-brings-ai-into-the-physical-world/
Additionally, to stay updated with the latest developments in STEM research, visit ENTECH Online. Basically, this is our digital magazine for science, technology, engineering, and mathematics. Furthermore, at ENTECH Online, you’ll find a wealth of information.
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Until 2023, Dr. Charudatta S Pathak held multiple academic positions, including lecturer, assistant professor, professor, dean, principal, director, and vice chancellor at public and private universities across India. From 2008 to 2010, he held the position of project lead in the CAE department at a European multinational corporation. Throughout his 28-year professional experience, he observed a requirement for reliable publications aimed at youngsters in grades 8 to 12, specifically for early-stage career planning. He initiated the establishment of ENTECH Digital Magazine, a complimentary periodical released on a monthly basis, accessible via stemconference.in and magzter.com. Teenagers with a keen interest in Science, Technology, Engineering, and Mathematics (STEM) and aspiring to pursue professional paths in these domains can consider reading ENTECH Digital Magazine.
