A hand movement which shows the intention of a robotic guide for safe walking

This paper proposes a guide system which uses an intended hand force of a robotic guide for elderly and visually impaired people. In general, we lead these people by the hand with a different way according to the situation. For example, we lead these people strongly and rapidly for avoiding a dangerous situation. For realizing our proposed system, this paper describes the following two key topics. The first, we analyze a hand movement, which leads the other person in each situation, and investigate the characteristics of it which the follower can estimate the intention of the leader according to the situation. From our investigation, the minimum jerk trajectory model can appropriate the velocity references of a hand movement and timing of peak velocity during one hand motion tends to show the intention of its leader. The second, we design the velocity references of a hand movement based on the analysis results and for verify its effectiveness, we implement the proposed idea to our prototype robotic guide. Using our idea, our guide robot can show the situation of the surrounding environment to its follower by a hand movement.

[1]  Steven Dubowsky,et al.  PAMM - a robotic aid to the elderly for mobility assistance and monitoring: a "helping-hand" for the elderly , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[2]  Kazuhiro Kosuge,et al.  Motion Control of Passive Intelligent Walker Using Servo Brakes , 2007, IEEE Transactions on Robotics.

[3]  Katsumi Takahashi,et al.  Effect of Scale Division Ranks on Sensory Evaluation Value as a Mechanical Engineering Design , 2013 .

[4]  Jian Huang,et al.  Human-Walking-Intention-Based Motion Control of an Omnidirectional-Type Cane Robot , 2013, IEEE/ASME Transactions on Mechatronics.

[5]  Rory A Cooper,et al.  Intelligent walkers for the elderly: performance and safety testing of VA-PAMAID robotic walker. , 2003, Journal of rehabilitation research and development.

[6]  Mihoko Niitsuma,et al.  Hand Force Feedback System to Recognize Surrounding Objects for Safe Walking , 2005, AIM 2005.

[7]  M. Hirvensalo,et al.  Mobility Difficulties and Physical Activity as Predictors of Mortality and Loss of Independence in the Community‐Living Older Population , 2000, Journal of the American Geriatrics Society.

[8]  Daisuke Chugo,et al.  A driving assistance for a powerd wheelchair on a pedestrian flows , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[9]  Hiroshi Ishiguro,et al.  Development of an android robot for psychological support in medical and welfare fields , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[10]  Takanori Shibata,et al.  Investigation on people living with Paro at home , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[11]  T. Flash,et al.  The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[12]  Daisuke Chugo,et al.  A standing assistance based on a load estimation considering with a muscle arrangements at the human leg , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

[13]  Daisuke Chugo,et al.  Analysis of a design index for the service robot in a human-coexistence environment , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

[14]  Tatsuo Arai,et al.  Psychological assessment of humanoid robot appearance and performance using virtual reality , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[15]  Sean Graves,et al.  An assistive robotic agent for pedestrian mobility , 2001, AGENTS '01.