Intro
Editor's Preface
Contents
Biomimetic and Psychophysical Investigations on Lifting Tasks for Developing Cooperative Reinforcement Learning Control of a Power Assist Robotic System
1 Introduction
2 Experiment 1: Lifting Objects Manually
2.1 Experimental System Development
2.2 Experimental Procedures and Results
3 Experiment 2: Lifting Objects with the PARS
3.1 Experimental Setup
3.2 Psychophysics in Dynamics and Power-Assist Control
3.3 Experimental Details
3.4 Experimental Results and Analyses
4 Comparison Between Manual and Power-Assisted Lifting

5 The Reinforcement Learning Framework
6 Conclusions and the Future Research
References
Bilateral Tele-Operation of an Unmanned Aerial Vehicle: Teaching and Learning Priority
1 Introduction
2 Process Conceptualization
3 Kinematic Model of an Unmanned Aerial Vehicle
3.1 Tele-Operation Scheme
4 Virtual Environment Development
5 Results
6 Discussion
7 Conclusions
References
Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality
1 Introduction
2 Related Work
2.1 Sim2Real
2.2 Robot Motion Planning

2.3 Embodied AI Simulators
3 Framework
3.1 Experiment Platform
3.2 Simulation
4 Message-Passing Pipeline: An Experiment
4.1 Preparation
4.2 Scene Understanding
4.3 Robot Motion Planning
4.4 Performance Validation
4.5 Results
5 Conclusion
References
Robot Manipulator Applied to Bottle Filling Processes: An Approach in the Teaching-Learning Process
1 Introduction
2 Methodology
2.1 Digital Resources
2.2 Graphics Engine
2.3 Controller
2.4 Experimentation
3 Control Scheme
3.1 Kinematic Model
3.2 Perspective Projection Model

3.3 Control Scheme
4 Analysis and Results
4.1 Simulation
Virtual Environment
4.2 Image Processing
4.3 Control Algorithm Implemented
5 Conclusions
References
Meaningful Learning Processes of Service Robots Through Virtual Environments
1 Introduction
2 Conceptualization of the Process
2.1 Methodology
2.2 Virtual Environment
3 Robot Modeling
3.1 Unmanned Aerial Vehicle
3.2 Robotic Arm
3.3 Aerial Manipulator Robot
4 Control Algorithm
4.1 Unmanned Aerial Vehicle
4.2 Robotic Arm
5 Analysis and Results
6 Conclusions
References

On the Development of a Reconfigurable Platform for the Control of Multiple Collaborative Robots from a Software Engineering Perspective
1 Introduction
2 Industry 4.0 Platform
3 Approaches for Control of Collaborative Robots
3.1 MoveIt Based Method
3.2 Native Development Based Methods
4 Results and Discussion
4.1 Results of MoveIt Based Approach
4.2 Results of the Proposed Native Based Approach
4.3 Assessment of Different Methods to Control Collaborative Robot
5 Conclusions and Future Work
References