The launch of the voice-activated 'Roboking' robotic vacuum cleaner was just announced by LG, and this smart vacuum cleaner is said to have a 10% increase in efficiency compared to its corresponding models. The vacuum comes with incredible features that renders this gadget as the perfect house-cleaning assistant.
This robotic vacuum can be amazingly commanded by voice and is designed to follow a route from which the voice is coming from. It can move in the direction of the user and recognize the corners of the house, guided by built-in cameras.
The 48 decibel (dB) level of the vacuum, which is attained through voice-reducing technology, lets you work or relax freely as the vacuum takes care of the cleaning for you.
LG Launches the 'Roboking' Robotic Vacuum Cleaner in Korea
1. Voice-activated Robotics - The voice-activated Roboking robotic vacuum cleaner indicates a potential trend towards greater integration of voice-activated technology platform across all types of house-hold appliances.
2. Artificial Intelligence-based Vacuuming - The AI-based Roboking vacuum equipped with built-in cameras that recognize walls and obstacles presents an opportunity for establishing a new genre of smart household appliances that can vacuum and navigate autonomously.
3. Noise Reduction Technology - The Roboking with its noise-reducing technology indicates a shift towards an upcoming trend for noise-free robotics that can operate continuously without disturbing human activities.
1. Home Automation - Manufacturing companies should keep a close eye on trends emerging in home automation, where voice control technology and smart home devices will revolutionize the way people live their lives.
2. Consumer Electronics - Consumer electronics devices capable of responding to voice commands will become the norm in the future, and manufacturers must innovate to stay ahead of the competition.
3. Robotics - Voice-activated robotic vacuum cleaners like the Roboking present opportunities for innovation in the robotics industry by merging automated cleaning with machine learning.