In this chapter, we will look into how robots can, have and will benefit the wider human community in tasks that perhaps were taken for granted. More specifically, we review and analyse state-of-the-art work in robotic locomotion, robotic manipulation with and without human supervision. We hope to assist readers in having a thorough related work as a basis of their research with the current state-of-the-art approaches in the aforementioned fields as well as the importance of robots today.

Chapter Contents:

• 4.1 Introduction
• 4.2 Novel robotic applications in locomotion
• 4.2.1 Deep reinforcement learning for dynamic locomotion of bipedal robots
• 4.2.1.1 Background: deep reinforcement learning
• 4.2.1.2 Related work: bipedal balancing with deep reinforcement learning
• 4.2.1.3 Bipedal walking with deep reinforcement learning
• 4.2.2 Learning from humans
• 4.2.2.1 How to learn from humans
• 4.2.2.2 Data collection
• 4.2.2.3 Interpreting the data
• 4.2.2.4 Implementation
• 4.3 Novel robotic applications in human-guided manipulation
• 4.3.1 Background, trends and challenges
• 4.3.1.1 Telepresence vs teleoperation
• 4.3.1.2 Types of remote piloting
• 4.3.1.3 Object interaction and manipulation
• 4.3.1.4 Multi-modal interfaces for perception
• 4.3.1.5 Immersive manipulation via learning
• 4.3.2 Discussion and frontiers in human-guided manipulation
• 4.4 Novel robotic applications in fully autonomous manipulation
• 4.4.1 Background
• 4.4.1.1 Robotic grasping and manipulation: grasp synthesis
• 4.4.1.2 Robotic grasping and manipulation: grasp quality evaluation metrics
• 4.4.1.3 Robotic grasping and manipulation: deep reinforcement learning
• 4.4.2 Related work
• 4.4.2.1 Data-driven grasp synthesis
• 4.4.2.2 From grasping to manipulation
• 4.4.2.3 DRL-based autonomous grasping and manipulation
• 4.4.3 Reaching, grasping and re-grasping
• 4.5 Conclusion
• References

Inspec keywords: intelligent robots; human-robot interaction

Other keywords: robotic locomotion; robotic manipulation; robot intelligence

Subjects: General and management topics; Human-robot interaction; Robotics; Control engineering computing