Human-Robot Collaboration

This book is concerned with combining the perceptual abilities of mobile robots and human operators to execute tasks collaboratively. Systems which incorporate both human and robotic information sources have the potential to build complex world models, essential for both automated and human decision making. In this work, humans and robots are regarded as equal team members who interact and communicate on a peer-to-peer basis. Human-robot communication is addressed using probabilistic representations common in robotics. While communication can in general be bidirectional, this work focuses primarily on human-to-robot information flow. More specifically, the approach advocated in this book is to let robots fuse their sensor observations with observations obtained from human operators. Human-robot information fusion is experimentally demonstrated in two application domains: scalable information gathering, and collaborative decision making. The book is written for HRI researchers interested in a probabilistic, robot-centred perspective on human-robot collaboration.

Autorentext

Dr Tobias Kaupp received a PhD in Robotics from the University of
Sydney, Australia, in 2008. He also received a Diploma in Applied
Physics and an MSc in Mechatronics from the University of
Weingarten, Germany. His research interests include human-robot
collaboration, distributed probabilistic inference, and robust
software architectures.

Klappentext

This book is concerned with combining the perceptualabilities of mobile robots and human operators toexecute tasks collaboratively. Systems whichincorporate both human and robotic informationsources have the potential to build complex worldmodels, essential for both automated and humandecision making. In this work, humans and robots areregarded as equal team members who interact andcommunicate on a peer-to-peer basis. Human-robotcommunication is addressed using probabilisticrepresentations common in robotics. While communication can in general be bidirectional,this work focuses primarily on human-to-robotinformation flow. More specifically, the approachadvocated in this book is to let robots fuse theirsensor observations with observations obtained fromhuman operators. Human-robot information fusion isexperimentally demonstrated in two applicationdomains: scalable information gathering, andcollaborative decision making. The book is written for HRI researchers interested ina probabilistic, robot-centred perspective onhuman-robot collaboration.