Intro
Preface
Organization
Contents
Attention Guided In-hand Mechanical Tools Recognition in Human-Robot Collaborative Process
1 Introduction
2 Related Work
2.1 Hand Object Interaction
2.2 Occlusion-Aware Object Detection
3 Proposed Approach
3.1 Criss-Cross Attention Module
3.2 SimAM Attention Module
4 Experiments
4.1 Dataset Preparation
4.2 Implementation Details
4.3 Analysis and Comparisons
5 Conclusion
References
Design and Implementation of a Multimodal Combination Framework for Robotic Grasping
1 Introduction

2 Grasp Understanding and Detection
2.1 Language Text Feedback
2.2 6-DoF Grasp Generation
3 Robotic Motor Skills Generalization
3.1 Human Motion Demonstration
3.2 DMP and Obstacle Avoidance
4 Experiments
4.1 Evaluation of Robotic Grasp Understanding
4.2 Evaluation of Grasp Detection
4.3 Evaluation of Robotic Trajectory Learning
5 Conclusion
References
Experimental Validation of an Interface for a Human-Robot Interaction Within a Collaborative Task
1 Introduction
2 Related Work
3 Materials and Methods
3.1 UR Robots - Virtual Control Application

3.2 Workcell Description
3.3 Collaborative Task
4 Experiment Description
4.1 Training Stage
4.2 Main Stage
4.3 Evaluation
5 Results
6 Discussion
7 Conclusion
References
Fail It till You Make It: Error Expectation in Complex-Plan Execution for Service Robots
1 Introduction
2 Related Work
3 Error Expectation in General Purpose Service Robot (GPSR)
4 Experiments and Results
4.1 Object Recognition
4.2 Object Detection
5 Conclusions
References
Moving Person Detection Based on Modified YOLOv5
1 Introduction
2 Related Works

2.1 Dynamic SLAM Based on Deep Learning
2.2 Person Detection in Indoor Environments
3 New Model Architecture and Methodology
3.1 Overview of YOLOv5 Network
3.2 Convolutional Block Attention Module (CBAM)
3.3 Bidirectional Feature Pyramid Network (BiFPN)
3.4 New Model Architecture
4 Experimental Results
4.1 Datasets Preparation and Training Results
4.2 Performance Evaluation on TUM RGB-D Dataset
4.3 Performance Evaluation on Real-Time Situation
5 Conclusion and Future Work
References

Autonomous Robot Navigation System as Part of a Human-Machine Team Based on Self-organization of Distributed Neurocognitive Architectures
1 Introduction
2 Autonomous Robot Navigation System Based on Multi-agent Neurocognitive Architecture
3 Experiments
4 Conclusion
References
3D-CNNs-Based Touchless Human-Machine Interface
1 Introduction
2 Related Works
3 Proposed Method
3.1 Extraction of the Hand Region
3.2 Moore-Neighbor Approach
3.3 Detecting Hand Gestures Target-Person Locking
4 Simulations, Experimentations and Discussion of the Results
5 Conclusion