지능형 홈 로봇 분야의 글로벌 리더인 로보락은 인피니언 테크놀로지스(코리아 대표이사 이승수)의 REAL3™ ToF(Time-of-Flight)가 로보락의 지능형 청소 및 물걸레 올인원 로봇인 로보락 Qrevo Slim에 탑재되며, 컨슈머 로봇 시장에서 채용이 증가할 것으로 기대된다.
▲infineon pmd hybrid tof imager
Infineon REAL3™ ToF Reduces Size and Improves Reliability
Roborock, a global leader in intelligent home robots, expects that the innovative 3D camera module from Infineon Technologies (Korea CEO Seung-Soo Lee) will be used in cleaning robots and other products, and is expected to increase adoption in the consumer robot market.
Roborock recently announced the Roborock Qrevo Slim, an intelligent cleaning and mopping all-in-one robot equipped with Infineon’s REAL3™ Time-of-Flight (ToF).
The Infineon ToF adopted by this robot reduces its size and increases reliability.
Compared to existing cleaning and mopping robots that have a body height of approximately 100mm, the overall height of Roborock Qrevo Slim is only 82mm, allowing it to pass through lower and narrower spaces and providing high reliability.
“The integration of Infineon’s REAL3 ToF into Roborock’s cleaning robots clearly demonstrates how Infineon technology contributes to product innovation in the smart home segment,” said Andreas Kopetz, Vice President and General Manager Ambient Sensing at Infineon. “Infineon’s hybrid ToF solution targets the fast-growing consumer robotics market, enabling customers to develop differentiated robot designs while reducing system cost and complexity,” he said.
Roborock, in collaboration with Infineon, pmdtechnologies and OMS, has developed a next-generation robotics solution that uses hybrid ToF (hToF) instead of conventional laser range scanner (LDS) modules and obstacle avoidance modules.
hToF combines Infineon’s REAL3 ToF imager, dual infrared light sources and pmd’s processing technology to provide a powerful solution for consumer robotics. It supports SLAM (simultaneous localization and mapping), obstacle avoidance and cliff detection in a single camera module manufactured by OMS.
High-resolution distance and vision data are suitable for powerful obstacle avoidance algorithms, and the open-source SLAM algorithm based on hToF distance data generates high-precision maps, ensuring accurate and reliable navigation. hToF works even in the dark or in strong sunlight. It is also computationally efficient and streamlined, requiring, for example, only one Cortex A55 processor core for distance processing and SLAM calculation tasks out of the available eight cores.
Roborock has been leading the mass production of LDS technology since 2016 and is the first company to adopt a hybrid ToF system in its next-generation cleaning robots.