Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Deals with the programming of robots to perform grasping tasks. To do this, the assembly plan from observation (APO) paradigm is adopted, where the key idea is to enable a system to observe a human performing a grasping task, understand it, and perform the task with minimal human intervention. A grasping task is composed of three phases: pregrasp phase, static grasp phase, and manipulation phase. The first step in recognizing a grasping task is identifying the grasp itself. The proposed strategy of identifying the grasp is to map the low-level hand configuration to increasingly more abstract grasp descriptions. To achieve the mapping, a grasp representation is introduced, called the contact b, which is composed of a pattern of effective contact points beten the hand and the object. A grasp taxonomy based on the contact b is also proposed as a tool to systematically identify a grasp. The grasp can be described at higher conceptual levels using a certain mapping function that results in an index called the grasp cohesive index. This index can be used to identify the grasp. Results from grasping experiments show that it is possible to distinguish beten various types of grasps using the proposed contact b, grasp taxonomy and grasp cohesive index. >
['Sing Bing Kang', 'Katsushi Ikeuchi']
I am writing a research paper on a idea Toward automatic robot instruction from perception-recognizing a grasp from observation
[{"from": "human", "value": "I am writing a research paper on a idea Toward automatic robot instruction from perception-recognizing a grasp from observation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Deals with the programming of robots to perform grasping tasks. To do this, the assembly plan from observation (APO) paradigm is adopted, where the key idea is to enable a system to observe a human performing a grasping task, understand it, and perform the task with minimal human intervention. A grasping task is composed of three phases: pregrasp phase, static grasp phase, and manipulation phase. The first step in recognizing a grasping task is identifying the grasp itself. The proposed strategy of identifying the grasp is to map the low-level hand configuration to increasingly more abstract grasp descriptions. To achieve the mapping, a grasp representation is introduced, called the contact b, which is composed of a pattern of effective contact points beten the hand and the object. A grasp taxonomy based on the contact b is also proposed as a tool to systematically identify a grasp. The grasp can be described at higher conceptual levels using a certain mapping function that results in an index called the grasp cohesive index. This index can be used to identify the grasp. Results from grasping experiments show that it is possible to distinguish beten various types of grasps using the proposed contact b, grasp taxonomy and grasp cohesive index. >"}]