Together with the ‘2024 AI & Big Data Show’, Korea’s largest artificial intelligence (AI)-related exhibition, AI technology appeared in large numbers on the Robot Tech Show, attracting the eye of tourists.
First, the Israeli company Temi introduced robot technology based on Google’s ‘Geminii’ and incorporating search augmentation technology (RAG).
When the user says the food they need or the destination, the robot understands the voice, responds, and guides them to the destination. Autonomous driving is feasible using lidar sensors and visual slam technology.
Newbility, a service robot specialist, introduced ‘Newbee’, which is used as a patrol robot and a delivery robot. A complete of eight camera sensors enable autonomous driving, and ultrasonic and radar sensors let you drive safely while avoiding obstacles.
The patrol robot can provide voice guidance and a camera for control has been added. On the scene, many audience members responded positively to the friendly appearance.
Wego Robotics prepared self-driving robot products and a miniature city to introduce a simulation environment that makes it easy for self-driving robots to gather data.
Wego Robotics’ ‘Morai Simulation Program’ collects the identical data as actual sensors and vehicle protocols in a virtual environment just like the actual autonomous driving environment.
The reason is that the algorithms required for autonomous driving could be verified in a virtual environment and applied quickly.
Wonderful Platform also released the companion robot ‘Dasom K’ equipped with a small language model (sLM) this yr. But this time it has been significantly upgraded.
Particularly, real-time conversations were held with visitors on site. Visitors responded positively, saying, “The robot’s facial features modified and its design was cute.”
An official said, “The response speed remains to be a bit slow, but we are going to proceed to enhance the function.”
Cipro, an AI video security specialist, received lots of attention by introducing ‘Retail Trend’, an AI store visitor evaluation service. The deep learning AI engine recognizes not only gender and age, but additionally appearance attributes equivalent to clothing and worn items, and analyzes movement patterns to offer data.
Kang Ki-hoon, director of the Retail Trend Division, said, “It’s cost-effective because we are able to analyze the movements of tourists even with a small amount of CCTV.”
Auto Store, which makes a speciality of logistics automation, exhibited a small-scale cube-type storage demonstration system and the ‘R5’ robot.
Robots moving along rails could be used to maneuver boxes using grippers. Auto Store officials emphasized that costs could be reduced by as much as 75% in comparison with existing logistics storage methods.
As well as, various robot corporations participated within the robot tech show, including ▲KRM▲Youngin Mobility, which introduced a four-legged patrol robot, ▲Wonik Robotics, which makes a speciality of self-driving robots, and ▲Tesolo, which makes a speciality of grippers.
Reporter Park Soo-bin sbin08@aitimes.com