Literature DB >> 26964112

Control of a Robot Dancer for Enhancing Haptic Human-Robot Interaction in Waltz.

K Kosuge.   

Abstract

Haptic interaction between a human leader and a robot follower in waltz is studied in this paper. An inverted pendulum model is used to approximate the human's body dynamics. With the feedbacks from the force sensor and laser range finders, the robot is able to estimate the human leader's state by using an extended Kalman filter (EKF). To reduce interaction force, two robot controllers, namely, admittance with virtual force controller, and inverted pendulum controller, are proposed and evaluated in experiments. The former controller failed the experiment; reasons for the failure are explained. At the same time, the use of the latter controller is validated by experiment results.

Entities:  

Year:  2012        PMID: 26964112     DOI: 10.1109/TOH.2012.36

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  4 in total

1.  Evaluation by Expert Dancers of a Robot That Performs Partnered Stepping via Haptic Interaction.

Authors:  Tiffany L Chen; Tapomayukh Bhattacharjee; J Lucas McKay; Jacquelyn E Borinski; Madeleine E Hackney; Lena H Ting; Charles C Kemp
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

2.  Older adults' acceptance of a robot for partner dance-based exercise.

Authors:  Tiffany L Chen; Tapomayukh Bhattacharjee; Jenay M Beer; Lena H Ting; Madeleine E Hackney; Wendy A Rogers; Charles C Kemp
Journal:  PLoS One       Date:  2017-10-18       Impact factor: 3.240

Review 3.  Social Cognition for Human-Robot Symbiosis-Challenges and Building Blocks.

Authors:  Giulio Sandini; Vishwanathan Mohan; Alessandra Sciutti; Pietro Morasso
Journal:  Front Neurorobot       Date:  2018-07-11       Impact factor: 2.650

4.  Cooperative Dynamic Manipulation of Unknown Flexible Objects: Joint Energy Injection Based on Simple Pendulum Fundamental Dynamics.

Authors:  Philine Donner; Franz Christange; Jing Lu; Martin Buss
Journal:  Int J Soc Robot       Date:  2017-06-12       Impact factor: 5.126

  4 in total

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