Neuro-Machine Augmented Intelligence Laboratory (NMAIL)

Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view

Daekyum Kim, Brian Byunghyun Kang, Kyu Bum Kim, Hyungmin Choi, Jeesoo Ha, Kyu-Jin Cho, Sungho Jo

Science Robotics 2019

Keyword: User Intention, Wearable robot, Learning-based Intention Detection

Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Hand Robot with TSM

Eojin Rho, Daekyum Kim, Hochang Lee and Sungho Jo

IEEE Robotics and Automation Letters (presented in IROS 2021)

Keyword: Soft Robot Applications, Wearable Robotics

Single to Multi: Data-driven High Resolution Calibration Method for Piezoresistive Sensor Array

Min Kim, Hyungmin Choi, Kyu-Jin Cho and Sungho Jo

IEEE Robotics and Automation Letters (Volume: 6, Issue: 3, July 2021)

Keyword: Calibration and identification, Deep learning methods, Force and tactile sensing

Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes

Byung Hyung Kim, Ji Ho Kwak, Minuk Kim, and Sungho Jo

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Keyword: Occupancy mapping, Collision avoidance

Active 3D Modeling via Online Multi-View Stereo

Soohwan Song, Daekyum Kim, and Sungho Jo

2020 IEEE International Conference on Robotics and Automation (ICRA)

Keyword: Multi-view stereo, 3D Modeling