Dr. Jyotindra Narayan
Indian Institute of Technology Patna, Patna, India
+2
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Academic Career Length
9Years (2018-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications23 June 2020 in International Journal of Social Robotics
Journal Article
BKBhaben Kalita
Bhaben KalitaJyotindra NarayanSDSantosha Kumar Dwivedy
Santosha Kumar Dwivedy
14 July 2023 in International Journal of Intelligent Robotics and Applications
Journal Article
MAMohamed Abbas
Mohamed AbbasJyotindra NarayanSDSantosha K. Dwivedy
Santosha K. Dwivedy22 November 2021 in The Journal of Adhesion
Journal Article
SGSaipraneeth Gouravaraju
Saipraneeth GouravarajuJyotindra NarayanRSRoger A. Sauer
Roger A. SauerSGSachin Singh Gautam
Sachin Singh GautamA Bayesian regularization-backpropagation neural network (BR-BPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. -fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network is trained with of the FE dataset. The remaining are utilized to predict the peeling behavior. The training performance is evaluated for every change in the number of hidden layer neurons to determine the optimal network structure. The relative error is calculated to draw a clear comparison between predicted and FE results. It is shown that the BR-BPNN model in conjunction with the -fold technique has significant potential to estimate the peeling behavior.
12 January 2021 in Augmented Human Research
Journal Article
Jyotindra NarayanBKBhaben Kalita
Bhaben Kalita
SDSantosha Kumar Dwivedy
Santosha Kumar Dwivedy
16 February 2021 in Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
Journal Article
Jyotindra NarayanSDSantosha Kumar Dwivedy
Santosha Kumar DwivedyIn this work, the design, modeling, and development of a low-cost lower limb exoskeleton (LLES) system are presented for paediatric rehabilitation (age: 8–12 years, mass: 25–40 kg, height: 115–125 cm). The exoskeleton system, having three degrees-of-freedom (DOFs) for each limb, is designed in the SolidWorks software. A wheel support module is introduced in the design to ensure the user’s stability and safety. The finite element analysis of the hip joint connector along with the wheel support module is realized for maximum loading conditions. The holding torque capacity of exoskeleton joints is estimated using an affordable spring-based experimental setup. A working prototype of the LLES is developed with holding torque rated actuators. Thereafter, the dynamic analysis for the human-exoskeleton coupled system is carried out using the Euler-Lagrange principle and SimMechanics model. The simulation results of estimating joint actuator torques are obtained for two paraplegic subjects (Case I: 10 years age, 30 kg mass, 120 cm height and Case II: 12 years age, 40 kg mass, 125 cm height). The details of input parameters such as body mass, link lengths, joint angles, and contact forces are discussed. The simulation results of dynamic analysis have shown the potential of estimating the torques of joint actuators for the developed prototype during motion assistance and gait rehabilitation.
14 July 2021 in Journal of Computing and Information Science in Engineering
Journal Article
Jyotindra NarayanSDSantosha K. Dwivedy
Santosha K. DwivedyAbout Me
Dr. Jyotindra Narayan is an Assistant Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Patna, starting from December 2024 where he is actively engaged in healthcare robotics, control theory, and artificial intelligence. He is also associated with the Department of Computing at Imperial College London (United Kingdom) as an Honorary Research Associate. He did his PhD in January 2023 from the Mechanical Engineering Department at IIT Guwahati, focusing on designing, developing, and controlling passive-assist and active-assist control schemes for pediatric lower-limb exoskeleton systems. With over 80 publications in reputed journals and conferences, including more than 30 Q1/Q2-indexed journals, Dr. Narayan is an academic editor at PLOS ONE, an associate editor at Measurement
and Control Journal (Sage Publications), and a guest editor at the International Journal of Advanced Robotic Systems. He has chaired special sessions at prestigious international conferences such as CoDIT 2024 and IC_ASET 2024 and recently received the S K Mitra Memorial Best Research Paper Award (August 2024) by IETE, recognized by DSIR, Government of India. He has recently co-authored a contributed book Intelligent Cyber-Physical Systems for Healthcare Solutions: From Theory to Practice published by Springer Nature. Additionally, he is a lead reviewer for top-tier journals from Springer, IEEE, Elsevier, MDPI, and
international conferences ICRA 2024 and BioRob.