Subhash Pratap is a joint PhD Degree research scholar in Integrated Mechanical Engineering from the Department of Mechanical Engineering, Indian Institute of Technology Guwahati (India) and the Department of Intelligent Mechanical Engineering, Gifu University (Japan). His research interests include neurorehabilitation, soft robotics, haptics, grasping and manipulation, and assistive devices for extreme upper limbs.

Dr. Jyotindra Narayan is a Postdoctoral Research Associate in the domain of healthcare robotics and artificial intelligence at Brain and Behaviour Lab, Imperial College London (United Kingdom) and University of Bayreuth (Germany). He completed his PhD in January 2023 from the Mechanical Engineering Department at the Indian Institute of Technology Guwahati (IIT Guwahati), India. His research was dedicated to designing, developing, and controlling passive-assist and active-assist control schemes for the lower-limb exoskeleton systems for pediatric gait training and assistance. His journey in academia has been marked by a fervent dedication to advancing the fields of control theory and bioengineering. Over the years, he has delved deep into classical and modern control theory, focusing on robust and adaptive control methodologies. This has culminated in the publication of over 70 articles in reputed peer-reviewed journals and conferences, including more than 25 Science Citation/Scopus Indexed (Q1 and Q2) journals. He is an academic editor in PLOS ONE Journal in bioengineering, control theory, and artificial intelligence. Additionally, he serves as a guest editor in the International Journal of Advanced Robotic Systems. He chaired special sessions on robust and adaptive control schemes for many reputed International conferences like CoDIT 2024. He is a lead reviewer in the indexed journals of Springer, IEEE, Elsevier, MDPI, and international conferences.

Yoshiyuki Hatta received the B.E., M.E., and Ph.D. degrees in electrical and computer engineering from Yokohama National University, Yokohama, Japan, in 2010, 2012, and 2020, respectively. From 2012 to 2015, he was with Honda Motor Company, Ltd., Tokyo, Japan. From 2015 to 2017, he was with Chikashima International Patent Firm, Japan. He is currently a Specially Appointed Assistant Professor with Intelligent Production Technology Research & Development Center for Aerospace, Gifu University, Gifu, Japan. His research interests include electrical actuators, motion control, robotics, and haptics.

Kazuaki Ito received the B.S., M.S. and Ph.D. degrees in electrical and computer engineering from the Nagoya Institute of Technology, Nagoya, Japan, in 1998, 2000, and 2003, respectively. In 2003, he joined the Department of Electrical and Electronic Engineering, National Institute of Technology, Toyota College, Toyota, Japan, as a Research Associate, where he became an Associate Professor in 2009. From 2012 to 2013, he was a Visiting Scholar with the Department of Management and Engineering, University of Padova, Vicenza, Italy. He moved to the Department of Mechanical Engineering, Gifu University, Gifu, Japan, as an Associate Professor in 2017. He has been a Professor since 2022. His research interests include applications of motion control theory and soft computing techniques for mechatronic systems and real-world haptics. Dr. Ito is a Senior Member of the Institute of Electrical Engineers of Japan and a Member of the Japan Society for Precision Engineering, the Society of Instrument and Control Engineers, and the Japan Society of Mechanical Engineers.

Shyamanta M.Hazarika received his B.E in Mechanical Engineering from Assam Engineering College, Guwahati, India. He completed his M.Tech in Robotics from the Indian Institute of Technology Kanpur, India and PhD from School of Computing, University of Leeds, United Kingdom. He is currently a Professor with the Department of Mechanical Engineering and Mehta Family School of Data Sc. & AI, Indian Institute of Technology Guwahati, India. His primary research interest is in robotic neurorehabilitation. This translates into interest in knowledge representation and reasoning, artificial intelligence and machine learning.