Evolutionary Robotics
Evolutionary Robotics is a computer-simulated technique of creating Intelligent and Autonomous Robots. The initial idea of encoding a robot control system into a genome and have artificial evolution dates back to the late 80s. Evolutionary computation can be used to design the physical structure of the robot. Neural Network is the most common type of controller used in evolutionary robotics. This session is designed to understand and discuss how to create a useful controller to complete many robotic tasks.
Related Conference of Evolutionary Robotics
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10th World Congress on Computer Science, Machine Learning and Big Data
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Evolutionary Robotics Conference Speakers
Recommended Sessions
- How Robots Changing Our Life
- IoT and Globalisation
- IoT- Simplifying our Life
- Robots in Industry
- Robots: A Helping Hand
- Robots: Unsolved Questions
- Big Data Analysis
- Components of Robot
- Ethics OF Artificial Intelligence
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- Importance of Modelling and Simulation in the Internet of Things (IoT)
- Intelligent Automation
- Knowledge-Based Systems
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