Demonstrator for a Collaborative Human-Robot Picking System
Abstract
This paper introduces a demonstrator for a Collaborative Human-Robot Picking application consisting of a robot in front of a rack picking known objects into a bin. The major part of the system demonstrates the execution of picking orders carried out by human pickers and picking robots in a common workspace. A further part includes the training of Convolutional Neural Networks for object detection. A central concept of the system is an Emergency Call enabling the robot to request help if problems occur during object detection or grasping. The main goals of this demonstrator are to evaluate the interaction between human pickers and robots and to test the performance of object detection.
Keywords: Logistics, Robotics, Object Detection, Human-Robot-Interaction
DOI: 10.54941/ahfe100971
Cite this paper
More from this volume
- Modeling of the laminating machine based on ergonomic studies for the manufacture of marzipan handicrafts
- Cognitive Model for Probability Density Distribution Uncertainty Visualization
- Designing and Evaluating of an iPad-based Reading Mode for Enhancing the Efficiency of Non-native Immersive Reading
- Layout Evaluation of Luban Banner Interface Elements Based on Aesthetic Calculation
- Design of Point Pop-ups with Visual Representation based on Weather Map Interface
- Naturality and non-transparency of technology in the age of intelligent voice assistants
- Hybrid Sensory Surfaces: Biological meets Digital
- Design of Smart Household Beauty Apparatus Targeting the Young Consumers
- Smartphone based accurate touch operations on an AR desktop
- The near (bio)future in design
- Translating the creative process of knitwear design: from manual to digital practices in a material-driven approach
- HOYO – Shape Memory Alloys enable a new way to approach the treatment of the Autism Spectrum Disorder


AHFE Open Access