Artificial Intelligence Pioneers Advanced Robots for Expeditions Beyond Human Capabilities, from Nuclear-Stricken Fukushima to the Red Planet Mars
In a groundbreaking development, AI-integrated robots are set to transform the landscape of various sectors, from industry and logistics to healthcare and research. These machines, capable of improvising, learning, and cooperating, are opening doors to operations previously unthinkable without risking human lives, particularly in extreme environments like deep mining or space exploration.
ABB, Booster Robotics, Figure AI, ZHIYUAN Robotics, Unitree Robotics, Infineon Technologies (supported by NVIDIA technology), and Google (in alliance with Boston Dynamics) are currently developing AI-integrated humanoid and versatile robots for use in harsh, dangerous, or monotonous work environments. These robots, equipped with AI, are poised to replace humans in high-risk places, as demonstrated by the case of Fukushima.
The qualitative leap in AI-enabled robotics is expected to come from humanoids, with a massive expansion in factories projected in a five to ten-year horizon. Google has allied with Boston Dynamics to give intelligence to its iconic designs, known for dancing and running, but limited in real scenarios until now.
The novelty is that with AI, robots stop being simple executors and become autonomous agents capable of reasoning and reacting. Algorithms in AI-enabled robots are versatile, capable of serving in various industries such as hospitals, farms, or warehouses.
The technological race in AI-enabled robotics includes experiments by Meta with robotic utility models (RUM), and training dogs to do parkour at MIT using ChatGPT. The robotic dog Spot, from Boston Dynamics, is already being used to monitor industrial plants and access risk zones.
With the launch of Gemini Robotics by Google DeepMind, 'physical AI' is poised to transform labor, freeing humans from performing dirty, dangerous, or monotonous tasks. Kanishka Rao, director of robotics at DeepMind, stated that generative AI fills the gap between language, cognition, and action in robots.
The rise of AI-enabled robots could significantly impact sectors such as logistics, health, or agriculture, redefining productivity and work quality. University of San Diego projects are training robots to navigate ongoing construction sites and execute actions autonomously, promoting human-machine coexistence in critical tasks.
The number of robots in industrial employment is increasing, with 162 robots for every 10,000 industrial employees, and it is predicted that more than 600,000 new installations will be exceeded annually by 2027. However, it's important to note that the integration of AI in robotics is not about replacing humans, but rather about redefining collaboration, with robots taking on physical effort and risk while humans contribute creativity, strategy, and empathy.
Addressing questions regarding job displacement, the distribution of benefits from automation, and the role of education in this transition will be crucial for generative robotics to be a tool for progress and not inequality. The integration of generative AI in industrial robotics allows machines to understand spaces, interpret instructions in natural language, and act in unpredictable environments.
Robots, enabled by generative AI, can now improvise in complex environments, understanding ambiguous orders, adapting to changing situations, and executing physical actions with dexterity. In March 2025, Google DeepMind launched Gemini Robotics, a project that integrates its language model Gemini into robots capable of operating in the real world. AI-integrated robots have the ability to interpret data in real-time, adapt to the unexpected, and learn on the go.
As we move forward, the integration of AI in robotics has the potential to significantly impact the labor world, as robots become adaptive partners in daily work. The key lies in ensuring that this advancement serves to enhance human capabilities rather than replace them.
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