Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing novel objects and their configurations. Developmental psychology has shown that such skills are acquired by infants from observations at a very early stage. #R##N#,  contrast a more traditional approach of taking a model-based route with explicit 3D representations and physical simulation by an {\em end-to-end} approach that directly predicts stability from appearance.  ask the question if and to what extent and quality such a skill can directly be acquired in a data-driven way---bypassing the need for an explicit simulation at run-time. #R##N# present a learning-based approach based on simulated data that predicts stability of tors comprised of wooden blocks under different conditions and quantities related to the potential fall of the tors.  first evaluate the approach on synthetic data and compared the results to human judgments on the same stimuli. Further,  extend this approach to reason about future states of such tors that in turn enables successful stacking.
['Wenbin Li', 'Ales Leonardis', 'Mario Fritz']
I am writing a research paper on a idea Visual Stability Prediction and Its Application to Manipulation
[{"from": "human", "value": "I am writing a research paper on a idea Visual Stability Prediction and Its Application to Manipulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing novel objects and their configurations. Developmental psychology has shown that such skills are acquired by infants from observations at a very early stage. #R##N#,  contrast a more traditional approach of taking a model-based route with explicit 3D representations and physical simulation by an {\\em end-to-end} approach that directly predicts stability from appearance.  ask the question if and to what extent and quality such a skill can directly be acquired in a data-driven way---bypassing the need for an explicit simulation at run-time. #R##N# present a learning-based approach based on simulated data that predicts stability of tors comprised of wooden blocks under different conditions and quantities related to the potential fall of the tors.  first evaluate the approach on synthetic data and compared the results to human judgments on the same stimuli. Further,  extend this approach to reason about future states of such tors that in turn enables successful stacking."}]