Advancing Human-Robot Collaboration through Online Human Inverse Dynamics Estimation

In the last two decades the scientific community has shown a great interest in understanding and shaping the interaction mechanisms between humans and robots. The reason of this interest lies in the application of human-robot-interaction-based technologies in industrial and rehabilitation fields, as well as in daily-life scenarios. The interaction implies communication between two dyadic agents and, if the type of interaction is 'physical', the communication is represented by the set of forces mutually exchanged.

[1]  Sylvain Miossec,et al.  Human motion in cooperative tasks: Moving object case study , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[2]  Giorgio Metta,et al.  YARP: Yet Another Robot Platform , 2006 .

[3]  Tamio Arai,et al.  Human-robot cooperative manipulation with motion estimation , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[4]  Claudia Latella,et al.  Whole-Body Human Inverse Dynamics with Distributed Micro-Accelerometers, Gyros and Force Sensing † , 2016, Sensors.

[5]  Stefan Schaal,et al.  http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained , 2007 .

[6]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[7]  J. Denavit,et al.  A kinematic notation for lowerpair mechanism based on matrices , 1955 .

[8]  R DRILLIS,et al.  BODY SEGMENT PARAMETERS; A SURVEY OF MEASUREMENT TECHNIQUES. , 1964, Artificial limbs.

[9]  Chang-Hun Kim,et al.  RViz: a toolkit for real domain data visualization , 2015, Telecommunication Systems.