Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an approach that enables a robot to initiate a call to a remote human operator and ask help in resolving automated perception system failures during bin-picking operations. Our approach allows a robot to evaluate the quality of part recognition and pose estimation, based on a confidence-measure, and thereby determine whether to proceed with the task execution or to request assistance from a human in resolving the predicted perception failure.  present an automated perception algorithm that performs the joint task of part recognition and 6 degree-of-freedom pose estimation, and has built-in features to initiate the call to the human when needed.  also present the underlying mechanism for a rationalized basis for making the call to the human. If uncertainty in part detection leads to perception failure, then human intervention is invoked.  present a new user interface that enables remote human interventions when necessary.  report results from experiments with a dual-armed Baxter robot to validate our approach.
['Krishnanand N. Kaipa', 'Akshaya S. Kankanhalli-Nagendra', 'Nithyananda B. Kumbla', 'Shaurya Shriyam', 'Srudeep Somnaath Thevendria-Karthic', 'Jeremy A. Marvel', 'Satyandra K. Gupta']
I am writing a research paper on a idea Enhancing robotic unstructured bin-picking performance by enabling remote human interventions in challenging perception scenarios
[{"from": "human", "value": "I am writing a research paper on a idea Enhancing robotic unstructured bin-picking performance by enabling remote human interventions in challenging perception scenarios"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an approach that enables a robot to initiate a call to a remote human operator and ask help in resolving automated perception system failures during bin-picking operations. Our approach allows a robot to evaluate the quality of part recognition and pose estimation, based on a confidence-measure, and thereby determine whether to proceed with the task execution or to request assistance from a human in resolving the predicted perception failure.  present an automated perception algorithm that performs the joint task of part recognition and 6 degree-of-freedom pose estimation, and has built-in features to initiate the call to the human when needed.  also present the underlying mechanism for a rationalized basis for making the call to the human. If uncertainty in part detection leads to perception failure, then human intervention is invoked.  present a new user interface that enables remote human interventions when necessary.  report results from experiments with a dual-armed Baxter robot to validate our approach."}]