Current Research

The works were done under the advice of Prof. Deshpande with my research colleagues in ReNeu Robotics Lab.

<Publication List> <Research Statement>

> Finger Exoskeleton for Rehabilitation and Teleoperation

<Project page link, ReNeu Robotics lab>, supported by NSF and NASA, and working with MAHI lab and HCR lab.

Related papers:

  1. Chad G. Rose, Fabrizio Sergi, Youngmok Yun, Kaci Madden, Ashish D. Deshpande, Marcia K. O'Malley (2015): Characterization of a hand-wrist exoskeleton, READAPT, via kinematic analysis of redundant pointing tasks. In: Rehabilitation Robotics (ICORR), 2015 IEEE International Conference on, pp. 205-210, 2015.
  2. Youngmok Yun, Priyanshu Agarwal, Ashish D. Deshpande (2015): Accurate, Robust, and Real-time Pose Estimation of Finger. In: Journal of Dynamic Systems Measurement and Control , 137 (3), 2015, ISSN: 0022-0434.
  3. Priyanshu Agarwal, Jonas Fox, Youngmok Yun, Marcia K. OMalley, Ashish D. Deshpande (2015): An index finger exoskeleton with series elastic actuation for rehabilitation: Design, control and performance characterization. In: The International Journal of Robotics Research, 34 (14), pp. 1747–1772, 2015, ISSN: 0278-3649, 1741-3176.

> Control in the Reliable Region of a Statistical Model with Gaussian Process Regression

<Project page link, ReNeu Robotics lab>

Related paper:

  1. Youngmok Yun, Ashish D. Deshpande (2014): Control in the Reliable Region of a Statistical Model with Gaussian Process Regression. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 654-660, 2014.

> Finger Pose Estimation with a Motion Capture System 

<Project page link, ReNeu Robotics lab>, supported by NSF.

Related paper:

  1. Youngmok Yun, Priyanshu Agarwal, Ashish D. Deshpande (2015): Accurate, Robust, and Real-time Pose Estimation of Finger. In: Journal of Dynamic Systems Measurement and Control , 137 (3), 2015, ISSN: 0022-0434.
  2. Youngmok Yun, Priyanshu Agarwal, Ashish D. Deshpande (2013): Accurate, Robust, and Real-time Estimation of Finger Pose with a Motion Capture System. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.

> Statistical Method for Prediction of Human Walking Pattern with Gaussian Process <Click. New Window>

<Project page link, ReNeu Robotics lab>, 

gait_prediction

 

 

 

 

 

supported by KIST

Youngmok Yun, Hyun-Chul Kim, Sung Yul Shin, Junwon Lee, Ashish D. Deshpande, Changhwan Kim (2014): Statistical method for prediction of gait kinematics with Gaussian process regression. In: Journal of Biomechanics, 47 (1), pp. 186 - 192, 2014, ISSN: 0021-9290.

 

> Previous research <Click-Detail>

Previous works

Previous works

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