Medical ultrasound scanning is a challenging dexterous manipulation task for robots, even
for experienced sonogra-phers, since it involves motion control and force regulation based …

Robots are expected to execute various operation tasks like a human by learning human
working skills, especially for complex contact tasks. Increasing demands for human–robot …

Due to the heavy burden on human drivers when remotely controlling hexapod robots in
complex terrain environments, there is a critical need for robot intelligence to assist in …

The quality of skills learned by robots from demonstrations depends on the level of
demonstration by the instructor, while models such as Dynamic Motion Primitives (DMP) are …

This paper presents a novel approach for efficient robot programming in tasks such as
polishing and grinding, which addresses the challenges of stability and adaptability in robot …

Existing imitation learning methods for human directional corrections may lead to learning
incorrect behaviors due to erroneous artificial teaching, resulting in a significant increase in …

Human-robot collaboration provides an effective approach to combine human intelligence
and the autonomy of robots, which can improve the safety and efficiency of the robot …

In this paper, we study a vision-based reactive adaptation method for contact-rich
manipulation tasks, based on the compliant control and learning from demonstration. For …

碳纤维增强复合材料(Carbon fiber-reinforced composite, CFRC) 因具有轻质高强, 耐腐蚀,
耐冲击等优越性能, 在生产生活中的应用已越来越广泛, 然而复材产品的生产制造仍是劳动密集 …