Learning object affordances enables robots to plan and perform purposeful actions. However, a fundamental challenge for the utilization of affordance knowledge lies in its generalization to unknown ...

Lie groups are widespread in mathematics, playing a role in representation theory, algebraic geometry, Galois theory, the theory of partial differential equations, and also in physics, for example in ...

To tackle this, we present a causal property integrated parsing model termed CPI-Parser, which is driven by fundamental causal principles involving two causal properties for human parsing (i.e., the ...