AI and Robotics
The relationship between artificial intelligence and physical machines
The relationship between AI and robotics is closely intertwined, as both fields aim to create intelligent machines that can perform tasks autonomously. Robotics deals with the physical design and construction of robots, while AI focuses on developing the algorithms and software that give robots the ability to think, learn, and make decisions.
AI techniques such as machine learning and natural language processing are increasingly being used to improve the capabilities of robots, allowing them to better perceive and interact with their surroundings. Together, AI and robotics are used to create robots that can operate in a wide range of environments and perform a wide range of tasks, from manufacturing and assembly to search and rescue and space exploration.
Strength and dexterity
Boston Dynamics is famous for its viral YouTube videos featuring advanced robotics. The company, recently acquired by Hyundai, has produced a impressive collection of robots optimized for a variety of purposes:
The following video shows the evolution of Boston Dynamics robots over time:
The adoption of hydraulic actuators, inspired by muscles, has allowed robots to imitate and expand on the physical capabilities of humans. Not only can robots carry heavy loads and navigate rough terrain, but they now have the fine-grained dexterity to accomplish high precision tasks as demonstrated by this OpenAI robot:
The physical capabilities of machines continue to grow rapidly, and we can expect to see a vast assortment of robots created to address different use cases.
Coordination
Robots can work together to accomplish various tasks by communicating and coordinating with one another. Coordination between robots can be achieved by using swarm intelligence algorithms which allow robots to work together as a group, collectively making decisions and adapting to changes in the environment.
In March 2012, Amazon acquired Kiva Systems for $775 million. These robots now play an essential role in Amazon fulfillment centers:
Not only can synchronized robots improve the efficiency of tasks on the ground, but drones can work together as a group to perform complex tasks such as search and rescue, disaster recovery, and delivery.
Coordinated drone systems can also be used for purposes ranging from entertainment to militaristic. There are surely applications we can’t even imagine now which will become a part of daily life in the future.
Simulation
Training robots through virtual simulations is a powerful method for accomplishing real-world tasks. Simulations allow robots to be tested and trained in a safe, controlled environment, without the risk of damaging the robot or causing harm to people. This allows developers to test the robot's capabilities, identify any issues or errors, and make adjustments before the robot is deployed in the real world.
With the recent advancements in language models, humans can now train and interact with robots in more dynamic ways as demonstrated in this Google research project:
The Google robotics team published a paper on their research and shared the following video expanding on their training processes:
Virtual simulations help improve a robot's ability to adapt to new situations. They allow robots to be trained on a wide range of scenarios and tasks, which can be difficult or impossible to replicate in the real world.
The combination of stronger physical abilities, advanced intelligence, and coordinated systems will empower machines to do incredible things. Simulation training will accelerate the learning process for robots, enabling them to adapt at an increasing rate. We are likely to see robots play more and more of a role in every sector of the economy, ranging from domains such as manufacturing and supply chain automation to healthcare services.