Tesollo Bets on AI Robot Hand to Win Precision Humanoid Manipulation
AI TIMES ·
✦ AI Summary
According to AI TIMES, Tesollo is leading a state R&D project worth a total of KRW 5.2 billion and is moving to secure humanoid precision ma…
According to AI TIMES, Tesollo is leading a state R&D project worth a total of KRW 5.2 billion and is moving to secure humanoid precision manipulation technology with a 25-degree-of-freedom AI robot hand. On October 19, Tesollo said it had been selected as the lead organization for a new project by the Ministry of Trade, Industry and Energy, and that it would pursue demonstration in manufacturing and assembly environments by combining on-device AI, multimodal sensors, and manipulation algorithms. The core of the research is to integrate sensing, judgment, and control with the robot hand's mechanical performance, pushing it beyond simple grasping to a level where it can change posture in hand or recover from shaking during a task. In particular, connector fastening and cable manipulation, which require immediate responses to changes in contact, will be used as key test cases. The company plans to build a learning and verification system using both simulation and real robot data, and later in the research phase integrate the technology into a bimanual upper-body humanoid for testing under conditions close to those in actual industrial sites. Tesollo said it intends to use the project as a springboard to expand its existing product lineup into an intelligent manipulation platform and commercialize related software tools as well.
Perspective
The significance of this case is that it shows how the focus of the humanoid race is shifting from motion itself to real task performance. That is because only hands that integrate sensing, judgment, and control beyond simply picking up objects can be applied on-site in manufacturing and assembly. In the end, this effort can be read as a move to redefine the robot hand not as a component, but as a work platform. If it succeeds, the standard for humanoid use is likely to shift from whether it can grasp objects to how steadily it can repeat precision work.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
View originalThis article was summarized and organized by BizCrush based on the original article from AI TIMES. For exact quotations and full details, please refer to the original article.