5 accepted papers
Bimanual teleoperation tasks are highly demanding for human operators, requiring the simultaneous control of two robotic arms while managing complex coordination and cognitive load. Current approaches to this challenge often rely on rigid control schemes or task-specific automation that do not adapt…
Robots are becoming essential in human environments, requiring them to behave in a socially compliant manner. Although previous learning-based methods have shown potential in social navigation, most have treated pedestrians as individuals, failing to account for group level interactions. Additionall
Mobile robots functioning in human environments should behave with a secure and socially-compliant manner. Although many studies have revealed the effectiveness of Deep Reinforcement Learning (DRL) in robot navigation, most of them can only handle the presence of human as independent individuals. Fa…
In this paper, we present a novel method for achieving automatic design of compliant surgical forceps with adaptive grasping functions. Compliant forceps are much easier to assemble and sterilize than conventional rigid-joint forceps, hence their use is spreading from traditional open surgery to rob
There is an emerging trend toward soft robotics due to its extended manipulation capabilities compared to traditionally rigid robot links, showing promise for an extended applicability to new areas. However, as a result of the inherent property of soft robotics being less rigid, the ability to contr