The field of robotic-assisted diagnosis and teleoperation is moving towards the development of more accurate, efficient, and user-friendly systems. Researchers are focusing on creating robotic platforms that can facilitate precise tissue extraction and diagnosis, as well as enhance human-robot interaction in virtual reality environments. Notable advancements include the integration of multimodal sensing and artificial intelligence to improve teleoperation performance and user experience.

Particularly noteworthy papers include: MIRAGE, which proposes a shared control framework that combines virtual admittance with multimodal human intention perception to enhance teleoperation performance. EMMA, which presents an end-to-end framework for training mobile manipulation policies from human mobile manipulation data, sidestepping the need for expensive mobile robot teleoperation.