CASELAB

CREATIVE ALGORITHMS AND SENSOR EVOLUTION LABORATORY



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3 Axioms of CASELAB robot: VIL

For a robot to collaborate with people or help people in a factory or daily life, a set of functional requirements should be realized technically. We define this as 3 axioms of CASELAB robot.


VIABILITY


INTERACTION CAPABILITY


LEARNABILITY

CASELAB Technology

It is amazing to learn the way nature solves problems.




Dominant part of current navigation technology for robots and vehicles is focusing on realization of Bat-like solution. Bat measures TOF from returned sonar to quantify its distance and bearing angle to an external object. Robot also uses active odometer sensors for obstacle avoidance, localization, and map building.

Recent achievement in machine vision and AI technology advances robot navigation technology by providing a paradigm shift from odometer sensor based navigation to knowledge driven semantic navigation of robot understanding and learning its environment.




Equipped with creative revolutionary ideas and long-time professional competence, CASELAB leads the advancement of robot intelligence technology which realizes knowledge driven semantic autonomous navigation and task execution along with its product and service.

CASELAB Semantic Technology Framework

Our new semantic technology framework learns its surrounding model combining sensor data and its domain specific knowledge as human does and uses it for autonomous navigation and map building, object and place recognition, obstacle avoidance, and manipulation.

Flexible Brain GPS & Map

Triplet Ontological Semantic Model

Deep Neural Network Learning

CASELAB

CREATIVE ALGORITHMS AND SENSOR EVOLUTION LABORATORY

Business Registration Number : 371-81-01045

Suwon HQ : Corporate Collaboration Center 85761, Seobu-ro 2066, Jangan-gu, Suwon-si, Gyeonggi-do, Repulic of Korea
Kwangju BR : KITECH 2F 1228, Cheomdangwagi-ro 208beon-gil 6, Buk-gu, Gwangju, Repulic of Korea

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