A survey of embodied learning for object-centric robotic manipulation
Embodied learning for object-centric robotic manipulation is a rapidly developing and
challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots …
challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots …
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning
Surgical robot task automation has recently attracted great attention due to its potential to
benefit both surgeons and patients. Reinforcement learning (RL) based approaches have …
benefit both surgeons and patients. Reinforcement learning (RL) based approaches have …
A Survey of Embodied AI in Healthcare: Techniques, Applications, and Opportunities
Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and
personalization. Powered by modern AI technologies such as multimodal large language …
personalization. Powered by modern AI technologies such as multimodal large language …
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation
Surgical robot task automation has been a promising research topic for improving surgical
efficiency and quality. Learning-based methods have been recognized as an interesting …
efficiency and quality. Learning-based methods have been recognized as an interesting …
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot
Surgical robot simulation platform plays a crucial role in enhancing training efficiency and
advancing research on robot learning. Much effort have been made by scholars on …
advancing research on robot learning. Much effort have been made by scholars on …
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
Despite advancements in robotic-assisted surgery, automating complex tasks like suturing
remains challenging due to the need for adaptability and precision. Learning-based …
remains challenging due to the need for adaptability and precision. Learning-based …