Physical grounded technology

Physically grounded technology

Let’s discuss physically grounded technology

The technology incorporates the ability to navigate autonomously by the machine itself, make decisions and act accordingly. This technology empowers the machine to do tasks with autonomy in the absence of external influence. And In other words, the abilities of the machine to mimic human intelligence which includes the ability to perceive the surrounding environment, devise decisions to manipulate the environment based on the perceived information without external intervention. As far as autonomous navigation is concerned, it includes performing multiple operations like optimal path planning, starts and stop the moment, and avoid the obstacles during the navigation. The machine can be in the form of robots, self-driving car or autonomous helicopters. A completely autonomous machine has the following abilities:

1. To Perceive information regarding surrounding Continuously

2. Perform actions without any human assistance for an extended period.

3. Move either part or all of itself all around its environment without human intervention.

4. Avoid Obstacles and situations that can harm the environment, people, or itself throughout the movement

Technology may also equip the machine to learn and acquire new knowledge about the ever-changing environment to become adaptive and indulge new ways of performing the assigned duties.


One of the basic prerequisites is the ability of a robot to self-care. In these days, many battery-powered robots have the ability to find and connect to a charging source. Self-maintenance is necessary to remain in operational conditions and maintenance is based on sensing the internal state. In battery example, the robot will keep track of the remaining charge status of the battery. Other such proprioception sensors are haptic and heat monitoring, thermal and hall effect.

Sensing the surrounding Environment

Robot must be equipped with a wide range of sensors for scanning the environment. These sensors will help the robot to manage his tasks and avoid any trouble. Common things to sense

include vision, electromagnetic spectrum, sound, various objects, temperature, localization, odometry, and altitude. For example, some robots are adaptive in programming through the volume of grass to sustain a smooth cut, and dirt detector also injected in vacuum cleaner robots to estimate how much dirt is left to pick and how much is picked, and use these in to make a decision whether to continue picking dirt or it’s time to offload. And For people, eyes, skin, ears, and different biological mechanisms are involved to sense the world. For a robot, sensors used for these purposes. Cameras as eyes, bump scanners as skin, torque sensors, and spectrometers used as input devices.

Operation permanence and autonomous navigation

One of the important steps in automation is to perform the task physically. It includes the partial moment of any component or navigation of the machine in the environment. For full or partial movement, localization is the prerequisite. Without localizing itself, an estimate of the required force is not possible. Localization means that where it is present now. Any sort of movement, either by a robot or any of its components, requires sensors to formulate the map of the environment, scanning the surroundings and planning. These sensors can be vision cameras, depth cameras, laser scans, and different others for specific purposes.

Below is the systematic steps to achieve navigation automation. Data from different sensors are processed by using AI algorithms and based on that output, the decision-making process starts.

The benefit of ML and AI

Artificial Intelligence is a technological revolution that is disrupting almost every field and changing the aspect of every domain. AI is being counted as the next tool which will disrupt the way we live, interact and work. The biggest innovation of AI now days is the phenomena of self-driving cars. AL is doing more than just respond on demand, it can predict what is going to happen next. In the absence of AI, we have to use static programming to control the operation of the robot which lacks robustness and adaptivity.

As we discussed earlier, automation is kind of mimicking human intelligence. Through AI and ML algorithms, the machine will learn the behaviors form the data coming from the attached sensors. This mimics the cognitive abilities of the human brain and adapts the ability to learn and perform decision making to solve the assigned problems. Video streaming through the camera can be processed by using deep learning algorithms that are accurate as humans.


Mobile robotics is the most fascinating phenomena has been occurring in the area of artificial intelligence. The rapid increase in mobile robots is changing the dynamics of the industrial sector. There are a bunch of scenarios where the task can become tough for humans and also face efficiency issues. Prospective use of mobile robots involves ample avenues from service robots in restaurants to an autonomous vehicle in warehouses for goods transfer and on top of that concept of a self-driving car is a revolutionary step in this regard. The mobile robot is a hyper-intelligent autonomous machine capable of cognition of the environment, gather and process the sensor data, localize itself and devise a path to move on.

Immense employment of intelligent Mobile robots has created disruption in the industry, agriculture, military, and rescue in natural calamities due to their potential to work in a hazardous environment, to work round the clock. The ability of mobile robots to navigate autonomously plays as an anchoring role in autonomous cars, smart wheelchair, robots for personal assistance and as a workforce in the industry. Due to the security situation in these days, robots are becoming vital for surveillance

Ending Remarks

AI has disrupted the automotive industry and physically grounded technology. Until the next decade, the robotics industry will be as large as the automotive industry. 4th industrial revolution is the name of AI phenomena.

You may also know: Interoperability of AI and ML systems



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