ArticleSensors (Basel, Switzerland)2021
Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Unified Modulation Matrix-Based Shared Control for Teleoperated Multi-Robot Formation and Obstacle Avoidance.Sensors (Basel, Switzerland) · 2026Article
- Hand Gesture Interface for Robot Path Definition in Collaborative Applications: Implementation and Comparative Study.Sensors (Basel, Switzerland) · 2023Article
- An Online Distance Tracker for Verification of Robotic Systems' Safety.Sensors (Basel, Switzerland) · 2023Article
- Camera Arrangement Optimization for Workspace Monitoring in Human-Robot Collaboration.Sensors (Basel, Switzerland) · 2022Article
- Human-Robot Collaboration in Industrial Automation: Sensors and Algorithms.Sensors (Basel, Switzerland) · 2022Article
- Distributed Camera Subsystem for Obstacle Detection.Sensors (Basel, Switzerland) · 2022Article
- A Novel Collision-Free Homotopy Path Planning for Planar Robotic Arms.Sensors (Basel, Switzerland) · 2022Article
- Intuitive Spatial Tactile Feedback for Better Awareness about Robot Trajectory during Human-Robot Collaboration.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
In a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot's movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot's movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot's intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot's trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users' awareness about the motion plan of the robot.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.