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Maiti, Tapas Kumar

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Tapas Kumar Maiti

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079-68261637

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Meet Dr. Tapas Kumar Maiti

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Biography

Dr. Tapas Kumar Maiti, a former associate professor at Hiroshima University Japan, moved to DA-IICT India where he is a faculty member, from June 2019. He has held various positions at Hiroshima University, Japan; McMaster University, Canada; IIT-Kharagpur, and IIEST-Shibpur, India. He took active role in the development and expansion of teaching and research programs in robotics, automation, embedded-AI at DA-IICT. He became coordinator of MTech program in 2022, played the key role to start BTech Robotics (RAS minor) program, and founded Robotics Lab in 2021. He led a research group in challenging Research and Development activities, in the areas of Intelligent� Devices and Systems, Robotics, and Cybernetics, sponsored by various agencies. He has published more than 120 papers in reputed journals and conferences, and also co-authored a book. He received ICMM Excellent Award, IAAM Scientist Medal, and University Gold Medal. He is a member of IEEE, and Life member of Institution of Engineers (India).

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Now showing 1 - 3 of 3
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    Accurate Kinematic-Parameters Estimation Using IMU and GPS Sensors Fusion
    (IEEE, 20-09-2024) Paul, S; Maiti, Tapas Kumar; DA-IICT, Gandhinagar
    In this work, we developed a kinematic parameters estimator (KPE) using global positioning system (GPS) and inertial measurement unit (IMU) sensors embedded with a microcontroller. A Kalman filter is implemented in KPE to fuse IMU and GPS information. The filter estimates the short-range and long-rage positions simultaneously with the combination of the GPS data and IMU orientation information. We considered Kalman filter for sensor fusion which provides accurate position estimation despite of noise and drift. We have also performed the field trials to demonstrate the usability of the developed KPE. Evaluation of proposed solution through experiments in indoor and outdoor environments, demonstrating the position accuracy with few centimeters for short-range positioning and within a meter for long-range positioning.
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    Electro-Mechanical Model And Its Application To Biped-Robot Stability With Force Sensors
    (ACTA Press, 01-01-2022) Maiti, Tapas Kumar; Dutta, Sunandan; Ochi, Yoshihiro; Miura-Mattausch, Mitiko; Mattausch, Hans J; DA-IICT, Gandhinagar
    Monitoring heavy metal pollution in agricultural ecosystems is crucial to ensure environmental safety. Heavy metals interfere with plants� biochemical characteristics, such as chlorophyll content and photosynthesis, and also influence leaves� spectral properties. Spectral changes caused by heavy metal stress can easily be measured using proximal sensing or in-field spectroscopy. This research utilizes a combined approach of biochemical and spectral characteristics to evaluate cotton crops� performance under different heavy metal (Pb & Cd) stress after artificial contamination with the metal under study. A detailed study of spectroscopy and lab-based measurements for chlorophyll and heavy metal content during the crop�s growth cycle revealed some significant findings. Results indicated that the chlorophyll pigments decreased significantly with increased heavy metal levels. Pb accumulation is high in cotton as compared to Cd. The most sensitive stage for the accumulation of Pb is the initial vegetative stage of cotton. The transfer factor from soil to plant was higher for Pb, indicating the feasibility of growing cotton in Pb-contaminated soil. The spectral measurement showed no characteristic changes in standard reflectance spectra due to heavy metal stress. Wavelet decomposition of reflectance spectra amplified the changes indicating Pb stress in cotton during the initial vegetative stage. The significant correlation of greater than ? 0.70 between the reconstructed detail wavelet coefficients at the third level of the decomposition in the wavelength range of 651�742 nm suggested that Pb stress caused spectral changes in near-infrared and visible ranges in cotton plants. The effects of Cd stress on the cotton plant were negligible due to less absorption. Thus, detailed wavelet coefficients at the third level of decomposition in the range of 651�742 nm are a potential indicator of Pb stress. The results of this study can provide a basis for quantifying heavy metal stress in a particular region.
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    An Examination of the Security Architecture and Vulnerability Exploitation of the TurtleBot3 Robotic System
    (University of Bahrain Scientific Journals, 06-03-2004) Patel, Yash; Rughani, Parag H; Maiti, Tapas Kumar; DA-IICT, Gandhinagar
    This paper conducts a comprehensive security analysis of the TurtleBot3, a widely utilized robot in education and light-duty industrial applications, recognized for its cost-effectiveness and flexibility. Given its connectivity, the TurtleBot3 is susceptible to cyber threats, a concern that this study addresses by identifying and exploiting its security vulnerabilities. Through an extensive examination, the research uncovers that weak authentication protocols and insufficient access controls can be exploited by attackers to gain unauthorized control over the robot. Such breaches enable malicious actors to alter the robot�s operations, access confidential information, and initiate further attacks within its network. The findings of this study underscore the critical need for robust cybersecurity measures in robotics, highlighting the potential risks posed by these vulnerabilities. Moreover, the paper proposes a set of countermeasures and protective strategies designed to fortify the TurtleBot3 against cyber threats. These recommendations aim to enhance the robot�s security framework, ensuring a safer use in various sectors. By addressing these cybersecurity challenges, the research emphasizes the significance of integrating security considerations in the development and deployment of robotic systems, offering valuable insights for developers, users, and policymakers involved in the field of robotics and automation. This research not only illuminates the vulnerabilities within the TurtleBot3 system but also paves the way for developing more secure and resilient robotic platforms in the future