What exactly are robots?
Robots are artificial agents that interact with their physical environment.
Robots are designed to manipulate objects by sensing, picking up, moving, modifying the physical properties of the object, destroying it, or producing an effect, thereby relieving human labour of repetitive tasks without becoming bored, distracted, or exhausted.
Robotics is a broad term that encompasses a variety of disciplines.
Robotics is a subfield of artificial intelligence that combines Electrical Engineering, Mechanical Engineering, and Computer Science to develop, build, and apply robots.
- Robots have a mechanical structure, form, or shape that is specifically designed to perform a task.
- They are equipped with electrical components that provide power and control to the machinery.
- They incorporate some form of computer programme that dictates what, when, and how a robot performs certain tasks.
The Robot’s Locomotion
The locomotion mechanism is what enables a robot to move around in its environment. Locomotions come in a variety of forms.
Combination of Leg-and-Wheel-Powered Mobility
- This mode of locomotion consumes more energy when walking, jumping, trotting, hopping, climbing up or down, and so on.
- It takes a greater number of motors to complete a movement. It is suitable for both rough and smooth terrain, where an irregular or excessively smooth surface requires more power for wheeled locomotion. It is a little more challenging to implement due to stability concerns.
- It is available with one, two, four, or six legs. Leg coordination is required for locomotion when a robot has multiple legs.
The total number of gaits (a periodic sequence of lift and release events for each of the robot’s legs) that it can travel is determined by its leg count.
When a robot has k legs, the number of possible events is equal to (2k-1)!
The number of possible events for a two-legged robot (k=2) is N = (2k-1)! i.e. (2*2-1)! 3! = 6
As a result, six distinct events are possible.
- Leg lift to the left
- Letting go of the left leg
- Right Leg Elevation
- Right Leg Releasing
- Lifting both legs simultaneously
- Releasing both legs simultaneously
There are 39916800 possible events when k=6 legs. As a result, the complexity of robots is proportional to their leg count.
It requires fewer motors to perform a movement. It is relatively simple to implement because there are fewer stability concerns with a larger number of wheels. It is more energy efficient than legged locomotion.
- A standard wheel revolves around the wheel axle and the contact point.
- The caster wheel rotates in relation to the wheel axle and offset steering joint.
- Swedish 45o and 90o omni-wheels revolve around the contact point, the wheel axle, and the rollers.
- Ball or spherical wheel Omnidirectional wheel, difficult to implement technically.
This type of vehicle utilises tracks similar to those found on a tank. The robot is guided by varying the speed of the tracks in the same or opposite direction. It provides stability due to the large contact area between the track and the ground.
Components of Robot
Robots are built using the following components:
- The robots are powered by batteries, solar energy, hydraulics, or pneumatics.
- Actuators are the devices that convert energy to movement.
- Electric motors (alternating current/direct current) are required for rotational movement.
- They contract nearly 40% when air is sucked into them.
- Muscle Wires When an electric current is passed through them, they contract by 5%.
- Piezo and ultrasonic motors are the optimal choice for industrial robots.
- Sensors : They provide knowledge of the task environment in real time. Robots are equipped with vision sensors that allow them to determine the depth of objects in their environment. A tactile sensor simulates the mechanical properties of human fingertips’ touch receptors.
Application Domains of Computer Vision
- Autonomous vehicles
- Character recognition
- Forensics, security, and surveillance
- Industrial quality inspection
- Face recognition
- Medical imagery
- Pollution monitoring
- Gesture analysis
- Process control
- Remote sensing
The Artificial Intelligence Robots market is expected to grow at a compound annual growth rate (CAGR) of about 29.32% between 2020 and 2026, from an estimated 2019 market value of $4.1 billion to a projected 2026 market value of $25.3 billion. The research provides a global and regional appraisal and analysis of the Artificial Intelligence Robots market. In-depth analysis of industry competition, constraints, sales forecasts, potentials, existing and developing trends, and industry-validated market data are all part of this study’s findings and conclusions. The data presented in the paper spans the years 2016 to 2019, with projections ranging from 2020 to 2026. (USD Billion).
Automation that uses artificial intelligence techniques like deep learning, machine learning, and natural language processing is known as AI robotics. Robust demand for robots in the manufacturing sector will fuel future market expansion in the media and entertainment sector. In addition, AI algorithms are used to programme robots and successfully manage their behaviour. Furthermore, AI robots are capable of mimicking human emotions and can converse and engage with humans.
Artificial Intelligence Robot Industry Growth Drivers
Demand for personal robots like entertainment and companionship is expected to grow over the forecasted period. The artificial intelligence robot industry is expected to grow rapidly in the next years due to the pressing need to reduce labour costs while simultaneously improving productivity. Increased retail activity and the requirement for effective supply chain operations would lead to a big demand for robotics in the retail sector, therefore stimulating the market for AI robots. AI robots’ market potential will expand rapidly as the demand for just-in-time delivery of goods and services grows. AI-based robots will become more prevalent in a variety of industries as a result of a growth in the amount of products.
Image-recognition robots are also being used in the automobile industry to collect unsorted parts of autos from a bin or conveyor belt. Artificial intelligence, on the other hand, enables robots to become self-optimized goods that can constantly learn and analyse data from recent as well as history. Machine learning and artificial intelligence (AI) robots are being used by manufacturers to reduce equipment failure, improve asset utilisation, and aid in the planning of maintenance. The company’s sales will also rise as a result of this. We can expect market movements to be driven by all of the previously listed causes. As a further benefit, AI robots are capable of detecting faults and variations in products or components, and so help to resolve the quality concerns for both manufacturing and automotive companies.
Competitive Environment by
NVIDIA, Intel Corporation, IBM Corporation, Microsoft Corporation, Xilinx, Inc., Alphabet, Softbank, Hanson Robotics, Amazon, Blue Frog Robotics, and Promobot are among the study’s key stakeholders.
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