Federico Pedeni

ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments

Artificial agents are nowadays challenged to perform embodied AI tasks. To succeed, agents must understand the meaning of verbs and how their corresponding actions transform the surrounding world. In this work, we propose ACT-Thor, a novel controlled benchmark for embodied action understanding. We u…