Kia had 71 patents in robotics during Q4 2023. Kia Corp’s Q4 2023 patents include a robot control apparatus for adjusting balance control based on driving environment, a device with multiple connection links intersecting at an intersection region, a walking assistance system controlled to coordinate movement between a mobility device and a walking assistance robot, a welding system with main and auxiliary conveyors and welding robots, and a robot path planning apparatus generating cost maps for obstacle avoidance. GlobalData’s report on Kia gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Kia grant share with robotics as a theme is 38% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Apparatus for controlling robot and method thereof (Patent ID: US20230409051A1)
The patent filed by Kia Corp describes a robot control apparatus that includes sensors to detect distances from the ground in front and behind the robot, allowing a controller to determine the driving environment and adjust balance control accordingly. The apparatus can identify situations such as traveling on flat ground, climbing stairs, or descending stairs, and adjust control gain based on these conditions. The sensors are strategically placed on the front and rear bottom of the robot's head part, enabling precise detection of ground distances to inform the control adjustments.
Furthermore, the method outlined in the patent involves sensing distances from the ground using front and rear sensors, determining the driving environment based on these distances, and adjusting control gain for balance control accordingly. The controller can differentiate between various driving scenarios such as flat ground, climbing stairs, or descending stairs, and make real-time adjustments to ensure optimal balance control. By considering factors like current amount to drive the wheel, torque of the wheel, and the inclination of the head part, the apparatus can effectively adapt to different driving conditions and maintain stability. Additionally, the method involves controlling the vertical heights of the left and right wheels based on the data collected by the sensors, enhancing the overall performance and maneuverability of the robot.
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