I asked the new Google Gemini AI how it could improve robots

Sorry for “geeking out” on the new release of AI from Google today. I always tell folks I was born 50 years too early. Now looking at 64 years of age, dreams of my youth are starting to come to reality.

Saying this I am seeing humans doing the hard jobs on minimum wage while robots write poetry and paint.....and this is not the future I wanted.

I asked the new Google Gemini AI how it could help mobile service robots. It seems like the limitation right now will be in the edge computing capabilities of robots and the cost associated with making them more mainstream.

Here’s Google's AI response:

Google's Gemini AI has the potential to revolutionize the capabilities of mobile robots in several ways. Its multimodal understanding and ability to handle complex tasks make it ideal for a variety of applications, including:

1. Perception and Navigation:

• Multimodal sensor fusion:?Gemini can combine data from various sensors like cameras,?LiDAR,?and radar to build a comprehensive understanding of the robot's surroundings.?This can help robots navigate complex environments,?avoid obstacles,?and detect objects of interest.
• Object recognition and tracking:?Gemini can be used to recognize and track objects in real-time,?enabling robots to interact with them in a more intelligent way.?This could be used for tasks such as picking and placing objects,?sorting items,?and performing inspections.
• Dynamic obstacle avoidance:?With Gemini's ability to anticipate the movements of other objects and pedestrians,?robots can navigate crowded environments safely and efficiently.?This is particularly important for robots operating in public spaces.

2. Planning and Decision Making:

• Real-time planning:?Gemini can analyze the robot's surroundings and generate optimal paths for navigation,?taking into account dynamic obstacles and changing conditions.?This allows robots to react quickly and adapt to unexpected situations.
• Decision-making under uncertainty:?Gemini can assess risks and make informed decisions in uncertain environments.?This is crucial for robots operating in complex and unpredictable scenarios.
• Multi-robot coordination:?Gemini can enable multiple robots to collaborate and coordinate their actions effectively.?This opens up possibilities for tasks like search and rescue operations,?disaster relief,?and cooperative manipulation.

3. Human-Robot Interaction:

• Natural language interaction:?Gemini can enable robots to understand and respond to natural language commands and questions,?making them more user-friendly and accessible to everyone.
• Emotional intelligence:?Gemini can analyze human emotions and adjust its interactions accordingly.?This can help robots build trust with humans and create more natural and engaging interactions.
• Social learning:?Gemini can learn from human interactions and adapt its behavior over time.?This allows robots to become more helpful and efficient in their interactions with humans.

4. Specific Applications:

• Delivery robots:?Gemini can help delivery robots navigate complex environments,?avoid obstacles,?and interact safely with pedestrians.
• Warehouse robots:?Gemini can help warehouse robots identify and pick items efficiently,?optimize inventory management,?and improve overall productivity.
• Inspection robots:?Gemini can enable robots to inspect critical infrastructure,?detect anomalies,?and generate detailed reports,?saving time and resources.
• Elderly care robots:?Gemini can help elderly care robots understand and respond to the needs of their users,?providing companionship and assistance with daily tasks.

However, there are also some challenges to consider:

• Computational power:?Running Gemini on mobile robots with limited computational resources will require efficient model optimization and hardware advancements.
• Real-time performance:?Ensuring real-time performance of Gemini on robots is crucial for safety and effectiveness.?This will require efficient algorithms and optimized model implementations.
• Safety and security:?Robust safety mechanisms and security protocols are essential to mitigate potential risks associated with AI-powered robots.

Overall, Google's Gemini AI holds immense potential for the future of mobile robots. By addressing the challenges and further developing its capabilities, Gemini can revolutionize the way robots interact with the world, opening up possibilities for a smarter and more efficient future.

?