Object Affordance Driven Inverse Reinforcement Learning Through Conceptual Abstraction and Advice

Articles in the same Issue

1. Regular Articles
2. Dynamic contextualization and comparison as the basis of biologically inspired action understanding
3. Experience based localization in wide open indoor environments
4. Multi-robot Voronoi tessellation based area partitioning algorithm study
5. Non-technical users’ first encounters with a robotic telepresence technology: An empirical study of office workers
6. Jealousy 4.0? An empirical study on jealousy-related discomfort of women evoked by other women and gynoid robots
7. Topical Issue on Roboethics
8. Corporantia: Is moral consciousness above individual brains/robots?
9. Masahiro Mori’s Buddhist philosophy of robot
10. The soldier’s tolerance for autonomous systems
11. Liability for Autonomous and Artificially Intelligent Robots
12. Towards animal-friendly machines
13. GenEth: a general ethical dilemma analyzer
14. Special Issue on Artificial Perception, Machine Learning and Datasets for Human-Robot Interaction (ARMADA)
15. Real-time gaze estimation via pupil center tracking
16. Biologically inspired computational modeling of motion based on middle temporal area
17. Learning Robot Speech Models to Predict Speech Acts in HRI
18. Deep reinforcement learning using compositional representations for performing instructions
19. Is it useful for a robot to visit a museum?
20. Special Issue on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR)
21. Increasing trust in human–robot medical interactions: effects of transparency and adaptability
22. The impact of peoples’ personal dispositions and personalities on their trust of robots in an emergency scenario
23. Environment aware ADL recognition system based on decision tree and activity frame
24. How does the robot feel? Perception of valence and arousal in emotional body language
25. Towards natural handshakes for social robots: human-aware hand grasps using tactile sensors
26. Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction
27. Special Issue on Robots in Contexts
28. Understandable robots - What, Why, and How
29. Differences between young and old users when interacting with a humanoid robot: a qualitative usability study
30. Context-aware robot navigation using interactively built semantic maps
31. Object Affordance Driven Inverse Reinforcement Learning Through Conceptual Abstraction and Advice