3 accepted papers
In this study, we focus on enhancing the policy of a musculoskeletal arm to develop grasping abilities for objects of varying weights. The agent is modeled using MyoSuite, a platform with realistic biomechanics where muscles drive skeletal movement. We observed that optimizing only the control polic
A deformable agent can continuously adjust its morphology during training, allowing it to discover more suitable structures and outperform fixed-morphology counterparts in terrain-specific tasks. This adaptability is achieved through a joint optimization process consisting of two stages: the Skeleto
"Images and structured tables are essential parts of real-world databases. Though tabular-image representation learning is promising for creating new insights, it remains a challenging task, as tabular data is typically heterogeneous and incomplete, presenting significant modality disparities with i…