# Effect of presenting robot hand stiffness to human arm on human-robot collaborative assembly tasks

## TL;DR

This study explores how conveying robot stiffness to humans during collaborative assembly tasks improves efficiency and reduces workload.

## Contribution

A novel method is proposed to communicate robot stiffness to humans without affecting the shared object or task.

## Key findings

- The proposed method reduced task completion time during collaborative assembly tasks.
- Participants reported lower subjective workload when using the stiffness communication method.

## Abstract

In response to the growing need for flexibility in handling complex tasks, research on human–robot collaboration (HRC) has garnered considerable attention. Recent studies on HRC have achieved smooth handover tasks between humans and robots by adaptively responding to human states. Collaboration was further improved by conveying the state of the robot to humans via robotic interactive motion cues. However, in scenarios such as collaborative assembly tasks that require precise positioning, methods relying on motion or forces caused by interactions through the shared object compromise both task accuracy and smoothness, and are therefore not directly applicable. To address this, the present study proposes a method to convey the stiffness of the robot to a human arm during collaborative human-robot assembly tasks in a manner that does not affect the shared object or task, aiming to enhance efficiency and reduce human workload. Sixteen participants performed a collaborative assembly task with a robot, which involved unscrewing, repositioning, and reattaching a part while the robot held and adjusted the position of the part. The experiment examined the effectiveness of the proposed method, in which the robot’s stiffness was communicated to a participant’s forearm. The independent variable, tested within-subjects, was the stiffness presentation method, with three levels: without the proposed method (no presentation) and with the proposed method (real-time and predictive presentations). The results demonstrated that the proposed method enhanced task efficiency by shortening task completion time, which was associated with lower subjective workload scores.