The results indicated that the robot-enabled tangible support increased the task completion time but significantly improved the system usability and sense of presence with a more realistic haptic experience.Ībstract: This paper focuses on developing an effective and cost-efficient robotic arm control system for fruit-picking robots by leveraging computer vision and deep learning techniques. THey conducted a user evaluation to explore user performance and system usability in a virtual assembly task. The authors developed a prototype system that allowed the operator to place a virtual part onto other models in VR by placing the proxy onto the matched structure attached to a 6 DOF robotic arm. The cooperation between the physical support and the handheld proxy produces realistic physical force feedback, providing a tangible experience for various virtual parts in virtual assembly scenarios. This enables the system to provide force feedback during virtual assembly. This paper presents a robot-enabled tangible interface that dynamically moves a physical structure with a robotic arm to provide physical feedback for holding a handheld proxy in VR. However, users cannot physically feel the haptic feedback when connecting the parts with the virtual model. The system offers a practical solution for patients with trunk dysfunction, enabling them to independently retrieve objects without relying on caregivers.Ībstract: The assembly in Virtual Reality (VR) enables users to fit virtual parts into existing 3D models immersively. Experimental comparisons reveal that this interface significantly reduces the burden on operators and improves operation completion time. Additionally, the proposed interface introduces a system that utilizes a 2D camera for a 6 DOF robotic arm, m圜obot 280 M5, mounted on an electric wheelchair, allowing users to retrieve objects from the floor through visual instructions.

Compared to a conventional on-screen joystick, the proposed interface proves to be quicker and more effective, reducing the physical burden on users. This system enables users to specify the target position by drawing a line on the touchscreen interface, facilitating efficient grasping and delivery of objects.

The researchers propose an operating system that incorporates an eye-in-hand system with a touchscreen interface for a robotic arm. Abstract: This study addresses the challenges faced by individuals with high-level spinal cord injuries, especially those with trunk dysfunction, when picking up objects from the floor.

Agv with robotic arm