Jayant Kumar Mohanta
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Interests
Jayant Kumar Mohanta has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alok Kumar Sharma
Department of Cardiothoracic and Vascular SurgeryAll India Institute of Medical Sciences Jodhpur Rajasthan India
1 shared publication - Deepak Mishra
Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Rajasthan, India
1 shared publication - Gajendra Singh
Medical Technology Centre, Indian Institute of Technology Jodhpur and All India Institute of Medical Sciences Jodhpur, Rajasthan, India
1 shared publication - Jay Hitendrakumar Khatri
Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, India
1 shared publication Pushpinder Singh Khera
Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences Jodhpur, Rajasthan, India
1 shared publication- Rahul Choudhary
Department of Cardiology, All India Institute of Medical Sciences – Jodhpur, Jodhpur, India
1 shared publication
Latest Publications
- 30 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Letters
- Vol. 10 (2) , 1-4
An Integrated Multimodal Data Acquisition System for Ultrasound Imaging
This letter presents a novel, integrated multimodal data acquisition system for simultaneously capturing the six degrees of freedom motion data and real-time visual information, designed primarily for ultrasound imaging applications. The system combines inertial measurement units, ArUco markers, and a video capture device to achieve high-accuracy motion tracking synchronized with real-time ultrasound imaging. Our approach provides a cost-effective and portable setup that is capable of recording accurate translational and rotational data. The experimental results demonstrate promising results with $1.95\pm \text{1.10}\,\text{mm}$ deviation with the path driven by the robotic manipulation, which can be further improved by controlling acceleration and velocity. Its real-time performance, ease of use, and potential for AI model training make it valuable for various medical applications, including ultrasound-guided procedures and motion analysis.
- 30 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Letters
- Vol. 10 (2) , 1-4
An Integrated Multimodal Data Acquisition System for Ultrasound Imaging
This letter presents a novel, integrated multimodal data acquisition system for simultaneously capturing the six degrees of freedom motion data and real-time visual information, designed primarily for ultrasound imaging applications. The system combines inertial measurement units, ArUco markers, and a video capture device to achieve high-accuracy motion tracking synchronized with real-time ultrasound imaging. Our approach provides a cost-effective and portable setup that is capable of recording accurate translational and rotational data. The experimental results demonstrate promising results with $1.95\pm \text{1.10}\,\text{mm}$ deviation with the path driven by the robotic manipulation, which can be further improved by controlling acceleration and velocity. Its real-time performance, ease of use, and potential for AI model training make it valuable for various medical applications, including ultrasound-guided procedures and motion analysis.
- Open Access
- 5 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Modelling and Robust Control of Hybrid Unmanned Aerial-Underwater Robot in the Presence of Uncertainty
A "Hybrid" vehicle is one that has the potential to operate in more than one environment. This work demonstrates a robust backstepping control algorithm for the autonomous transmedia operation of a hybrid unmanned aerial-underwater vehicle in the presence of uncertainty. The simplified mathematical model is considered to depict the entire controller design procedure. The numerical simulation is carried out to demonstrate the proposed control system’s efficiency and compare it to existing PID control. The vehicle’s transient behaviour is compared in six different transmedia manoeuvres between air and water. The suggested control system is evaluated for stability in aerial manoeuvres and transmedia manoeuvres with respect to the conventional PID algorithm in the MATLAB-Simulink environment to demonstrate the superiority of the proposed algorithm.
- 5 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Open AccessModelling and Robust Control of Hybrid Unmanned Aerial-Underwater Robot in the Presence of Uncertainty
A "Hybrid" vehicle is one that has the potential to operate in more than one environment. This work demonstrates a robust backstepping control algorithm for the autonomous transmedia operation of a hybrid unmanned aerial-underwater vehicle in the presence of uncertainty. The simplified mathematical model is considered to depict the entire controller design procedure. The numerical simulation is carried out to demonstrate the proposed control system’s efficiency and compare it to existing PID control. The vehicle’s transient behaviour is compared in six different transmedia manoeuvres between air and water. The suggested control system is evaluated for stability in aerial manoeuvres and transmedia manoeuvres with respect to the conventional PID algorithm in the MATLAB-Simulink environment to demonstrate the superiority of the proposed algorithm.