This book presents recent methodological, technological, and experimental developments concerning human-friendly robots and their introduction into everyday life.

The book contains a selection of 10 papers presented at the 13th edition of the International Workshop on Human-Friendly Robotics (HFR).

The International Workshop on Human-Friendly Robotics (HFR) is an annual meeting that brings together academic scientists, researchers, and research scholars to present their latest, original findings on all aspects concerning human-friendly robotics where safe and dependable machines operate in close proximity to humans or directly interact with them in a wide range of contexts. The 13th edition was organized by the University of Innsbruck and took place in Innsbruck, Austria.

The book is primarily intended for robotics researchers and postgraduates which are doing or willing to do research in fields related to human-friendly robotics, including humanrobot interaction, robot control, robot learning, and intuitive interfaces.

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Includes proceedings of the 13th International Workshop on Human-Friendly Robotics (HFR2020) held in Innsbruck, Austria, in October 2020 Brings together academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects related to the introduction of robots into everyday life Covers a wide range of topics related to humanrobot interaction, both physical and cognitive, including theories, methodologies, technologies, and empirical and experimental studies

Inhalt
Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots.- Robotic Muscular Assistance-As-Needed for Physical and Training/Rehabilitation Tasks: Design and Experimental Validation of a Closed-Loop Myoelectric Control in Grounded and Wearable Applications.- The i-Walk Assistive Robot: A multimodal intelligent robotic rollator providing cognitive and mobility assistance to the elderly and motor-impaired.- Toward a Cognitive Control Framework for Explainable Robotics.- Balancing Exploration and Exploitation : A Neurally Inspired Mechanism to Learn Sensorimotor Contingencies.- A Dynamic Architecture for Task Assignment and Scheduling for Collaborative Robotic Cells.