Upper extremity assist exoskeleton robot. - Abdul Manan Khan; Deok-won Yun; Jung-Soo Han; Kyoosik Shin; Chang-Soo Han (RO-MAN, 2014)

Adaptive impedance control for upper limb assist exoskeleton. - Abdul Manan Khan; Deok-won Yun; Mian Ashfaq Ali; Jung-Soo Han; Kyoosik Shin; Chang-Soo Han (ICRA, 2015)

Estimation of desired motion intention using extreme learning machine for upper limb assist exoskeleton. - Abdul Manan Khan; Fatima Khan; Chang-Soo Han (AIM, 2016)

Muscle circumference sensor and model reference-based adaptive impedance control for upper limb assist exoskeleton robot. - Abdul Manan Khan; Muhammad Usman 019; Ahmad Ali; Fatima Khan; Sheraz Yaqub; Chang-Soo Han (Adv. Robotics, 2016)

A novel method for 3D reconstruction: Division and merging of overlapping B-spline surfaces. - Rui-Jun Yan; Jing Wu; Ji Yeong Lee; Abdul Manan Khan; Chang-Soo Han; Erdal Kayacan; I-Ming Chen (Comput. Aided Des., 2016)

Motion planning for a planar mechanical system with dissipative forces. - Ahmad Ali; Sheraz Yaqub; Muhammad Usman 019; Khalil Muhammad Zuhaib; Abdul Manan Khan; Ji Yeong Lee; Chang-Soo Han (Robotics Auton. Syst., 2018)

An Extensive Approach to Features Detection and Description for 2-D Range Data Using Active B-splines. - Muhammad Usman 019; Abdul Manan Khan; Ahmad Ali; Sheraz Yaqub; Khalil Muhammad Zuhaib; Ji Yeong Lee; Chang-Soo Han (IEEE Robotics Autom. Lett., 2019)

Efficient Approach for Extracting High-Level B-Spline Features from LIDAR Data for Light-Weight Mapping. - Muhammad Usman 019; Ahmad Ali; Abdullah Tahir; Muhammad Zia Ur Rahman 002; Abdul Manan Khan (Sensors, 2022)

Tensegrity-inspired Multi-axis Positioning SMA Actuator. - Hangyeol Baek; Abdul Manan Khan; Vishwanath Bijalwan; Sangmin Jeon; Myeongho Jeong; Youngshik Kim (ROSE, 2023)

EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms. - Abdul Manan Khan; Fatima Khan; Anshu Kumar Dwivedi; Vijay Bhaskar Semwal; Sheshikala Martha; Vishwanath Bijalwan (SN Comput. Sci., 2024)

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library. - Satyam Mishra; Phung Thao Vi; Shivam Mishra; Vishwanath Bijalwan; Vijay Bhaskar Semwal; Abdul Manan Khan (CoRR, 2025)