Cophy: Counterfactual learning of physical dynamics

F Baradel, N Neverova, J Mille, G Mori… - arXiv preprint arXiv …, 2019 - arxiv.org
Understanding causes and effects in mechanical systems is an essential component of
reasoning in the physical world. This work poses a new problem of counterfactual learning …

Intelligent computational techniques for physical object properties discovery, detection, and prediction: A comprehensive survey

S Mishra, A Arora - Computer Science Review, 2024 - Elsevier
The exploding usage of physical object properties has greatly facilitated real-time
applications such as robotics to perceive exactly as it appears in existence. Changes in the …

A survey on machine learning approaches for modelling intuitive physics

J Duan, A Dasgupta, J Fischer, C Tan - arXiv preprint arXiv:2202.06481, 2022 - arxiv.org
Research in cognitive science has provided extensive evidence of human cognitive ability in
performing physical reasoning of objects from noisy perceptual inputs. Such a cognitive …

[PDF][PDF] in Physics

JL Kossen - jlko.eu
Humans are remarkable. Every day we solve a multitude of complex and diverse tasks with
incredible skill. When picking up new tasks, we efficiently leverage prior experience to …

[PDF][PDF] Advancing Intelligent Computational Techniques for Uncovering, Identifying, and Forecasting Physical Object Properties: A Comprehensive Exploration

SP Shaik - technology, 2021 - irjeas.org
The integration of intelligent computational techniques represents a pivotal leap forward in
our capacity to analyze, comprehend, and forecast physical object properties. This paper …

言語による実世界シミュレーションを目指して

小林一郎 - 日本ロボット学会誌, 2021 - jstage.jst.go.jp
近い将来, ロボットは日常生活の中で人と協働することは容易に予想される. それに伴い,
人との意思疎通や様々な状況に対して同じ感覚を共有し, それらを伝えるために人とロボットが自然 …