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This patent provides adaptive gripping and motion planning technology for industrial robots to efficiently grip parts arranged randomly and move them to designated positions. By analyzing the shape of the parts and identifying multiple robust gripping options and stable intermediate postures, it selects the optimal gripping method. The robot uses cameras and sensors to identify the position of the parts and develop a motion plan. This optimizes the robot's actions and achieves high processing capability while avoiding collisions.
Conventional industrial robots found it difficult to efficiently grip parts that were randomly arranged and move them to designated positions. Especially when parts are arranged in random positions and postures, it is necessary to calculate a unique motion path for each part, requiring efficient operations. Additionally, there are often obstacles in the work environment that affect the robot's motion path, necessitating motion planning to avoid these obstacles. Moreover, it was challenging to find the optimal gripping method depending on the shape and arrangement of the parts, necessitating the optimization of the robot's actions.
This patent solves conventional challenges by analyzing the shape of parts to identify multiple robust gripping options and stable intermediate postures. The robot uses cameras and sensors to identify the position of the parts and develop a motion plan. If no feasible grip is available, it selects an intermediate posture and plans to move the parts from the initial posture to the intermediate posture and then to the target posture. This optimizes the robot's actions and achieves high processing capability while avoiding collisions.