首页|Investigators at Taizhou University Report Findings in Robotics (Robotic Autonom ous Grasping Strategy and System for Cluttered Multi-class Objects)

Investigators at Taizhou University Report Findings in Robotics (Robotic Autonom ous Grasping Strategy and System for Cluttered Multi-class Objects)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting originating from Zhejiang, People’s Republic of C hina, by NewsRx correspondents, research stated, “With the increasingcomplexity of the robot grasping environment, it puts forward higher requirements on the g rasping strategyof manipulators. However, grasping cluttered multi-class object s is a challenging task because the objectsare stacked and occluded from each o ther, and it is often difficult for robots to find a suitable graspingposition. ”

ZhejiangPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsRobotsTaizhou Un iversity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.27)