Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  deals with the problem of object reconstruction for visual search by a humanoid robot. Three problems necessary to achieve the behavior autonomously are considered: full-body motion generation according to a camera pose, general object representation for visual recognition and pose estimation, and far-away visual detection of an object. First  deal with the problem of generating full body motion for a HRP-2 humanoid robot to achieve camera pose given by a Next Best View algorithm.  use an optimization based approach including self-collision avoidance. This is made possible by a body to body distance function having a continuous gradient. The second problem has received a lot of attention for several decades, and  present a solution based on 3D vision together with SIFTs descriptor, making use of the information available from the robot. It is shown in this paper that one of the major limitation of this model is the perception distance. Thus a new approach based on a generative object model is presented to cope with more difficult situations. It relies on a local representation which allows handling occlusion as ll as large scale and pose variations.
['Olivier Stasse', 'Diane Larlus', 'Baptiste Lagarde', 'Adrien Escande', 'Francois Saidi', 'Abderrahmane Kheddar', 'Kazuhito Yokoi', 'Frédéric Jurie']
I am writing a research paper on a idea Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2
[{"from": "human", "value": "I am writing a research paper on a idea Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2"}, {"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 problem of object reconstruction for visual search by a humanoid robot. Three problems necessary to achieve the behavior autonomously are considered: full-body motion generation according to a camera pose, general object representation for visual recognition and pose estimation, and far-away visual detection of an object. First  deal with the problem of generating full body motion for a HRP-2 humanoid robot to achieve camera pose given by a Next Best View algorithm.  use an optimization based approach including self-collision avoidance. This is made possible by a body to body distance function having a continuous gradient. The second problem has received a lot of attention for several decades, and  present a solution based on 3D vision together with SIFTs descriptor, making use of the information available from the robot. It is shown in this paper that one of the major limitation of this model is the perception distance. Thus a new approach based on a generative object model is presented to cope with more difficult situations. It relies on a local representation which allows handling occlusion as ll as large scale and pose variations."}]