4 accepted papers
In recent human-robot collaboration environments, there is a growing focus on integrating diverse sensor data beyond visual information to enable safer and more intelligent task execution. Although thermal data can be crucial for enhancing robot safety and operational efficiency, its integration has
Teleoperation systems are utilized in various controllable systems, including vehicles, manipulators, and quadruped robots. However, during teleoperation, communication delays can cause users to receive delayed feedback, which reduces controllability and increases the risk faced by the remote robot.
Executing contact-rich manipulation tasks necessitates the fusion of tactile and visual feedback. However, the distinct nature of these modalities poses significant challenges. In this paper, we introduce a system that leverages visual and tactile sensory inputs to enable dexterous in-hand manipulat…
In this study, a vision-based high sampling rate interaction force estimation method is proposed for teleoperation systems that uses master position and orientation information without using physical sensors such as force/torque (F/T) or tactile sensors. The proposed method uses red-green-blue (RGB)