Prof. Priyam A. Parikh is currently working as an assistant professor in the Institute of Design. He is a post-graduate mechatronics engineer and currently pursuing his PhD in Mechanical Engineering from Institute of Technology, Nirma University. He has an academic experience of eight years and industrial experience of three years. He has worked with SAL college of engineering, as an In-charge Head, Mechatronics Engineering Department. He has also worked with a reputed design School, as an Assistant Professor. His areas of interest are Open-source electronics, HCI Design, Robotics, Smart Product Design, IoT, Mechatronics, Industrial design, UX/UI, industry 4.0, and Artificial intelligence. He has published more than 12 international journal papers and 16 conference papers related to Mechatronics, Automation, and Robotics. He received the best paper award in the 4th International Conference on Robotics, held in Budapest, Hungary in Dec 2019. He has recently received a major research gra
EDUCATION
Post Graduate Mechatronics Engineer
RESEARCH INTERESTS
Robotics, Mechatronics, Product and Interaction Design
20
Scopus Publications
355
Scholar Citations
11
Scholar h-index
14
Scholar i10-index
Scopus Publications
Positional Control of a 3D-Printed Indigenous 6-DoF Feeding Robotic Arm Using ANFIS and Fuzzy-PID Controller Priyam A. Parikh, Naitik Dalwadi, Reena Trivedi, Debanik Roy Assistive Robotics Modeling Computation and Realization, 2026 The current chapter demonstrates the use of an Adaptive Neuro-Fuzzy Inference System (ANFIS) and fuzzy proportional integral derivative (PID) controller to control the position of a 6-DoF custom 3D-printed feeding robotic arm. The chapter uses an open-source platform to show how machine vision, robot kinematics, and positional control may be coordinated. Throughout its function, the robotic arm travels through several intermediary locations in the 3D Cartesian space. The robot is designed to collect the food from the bowl and bring it up close to the user’s face. The destination point, which is dependent on where the patient’s face is, is in this instance the most important component. The vision camera provides the location of the face, and the inverse kinematics algorithm gives the joint angles for that location. To control the position of six servo actuators for the destination point, we employed an ANFIS and FPID-based positional controllers. The last three medium-torque servos are controlled by FPID, and the initial three high-torque servos are controlled by ANFIS. The FPID offered an average 15% overshoot, whereas the ANFIS offered a mere 5% overshoot. It was decided to control just high-torque servos using ANFIS and the rest actuators using FPID because the complete system was running on an affordable open-source platform like an Arduino or Raspberry Pi, and we wanted to reduce the computational overload on the Raspberry Pi.
A smart glove for Parkinson’s severity detection via low-frequency motion features and on-device machine learning Priyam Parikh, Vidhi Srivastava, Keyur D. Joshi, Mohd Asif Shah, Ankit Sharma Journal of Low Frequency Noise Vibration and Active Control, 2026 Parkinson’s disease (PD) is a progressive neurological disorder affecting fine motor control, yet current assessments rely heavily on brief clinical observations, lacking continuous and objective measurement tools. This study aims to develop a low-cost, real-time system for classifying PD severity using motion data captured by a wearable smart glove. We address three key limitations in existing research: the absence of context-aware monitoring during daily activities, limited use of low-frequency tremor analysis for severity detection, and the lack of embedded models that report system-level performance metrics such as inference time and memory usage. Our glove integrates an Arduino Nano BLE microcontroller and BMI270 IMU sensor to record triaxial hand motion during resting, spoon holding, and eating tasks. Using a 4-second sliding window, we extract a compact set of time-domain (RMS, standard deviation, SMA, ZCR) and frequency-domain (dominant frequency, bandpower) features. These are used to train four lightweight machine learning models – Decision Tree, Logistic Regression, Naïve Bayes, and a Shallow Neural Network – evaluated via subject-independent validation. The Naïve Bayes model achieved the best trade-off with 93.67% test accuracy and real-time inference capability on-device. Our contributions include a reproducible embedded pipeline for PD assessment, integration of quantized models via TensorFlow Lite Micro, SHAP-based interpretability for model transparency, and benchmarking against recent studies. This work demonstrates the feasibility of deploying interpretable, real-time AI models on microcontrollers for practical PD severity monitoring in home or clinical environments.
Advancements in finger prosthesis: A design using shape memory alloy actuation mechanism Aman Sanadhya, Kashish Chandak, Jigar Gohil, Reena Trivedi, Debanik Roy, Priyam Parikh, Mihir Chauhan, Kaushik Patel Results in Engineering, 2025 The present work discusses about the application of Shape Memory Alloy (SMA) actuation for bending prosthetic fingers using Electromyography (EMG) signals for finger amputees. While comparing with servo actuation, SMA actuators provide improved mobility, reduced bulk and greater flexibility. It elucidates the actuation using different configurations of the finger prototype and SMA with super-elastic wire. The super-elastic wire assists the SMA in retracting to the ideal position. The SMA wire was -trained on a cylindrical pipe and a fixture. An experimental setup for flexure at ProximalInterPhalangeal (PIP) and DistalInterPhalangeal (DIP) joint includes electric circuit using ArduinoUno and EMG sensor . The bending angles of the finger prosthesis achieved by the SMA trained on fixture are 48° at PIP and 61° at DIP. While it is 64° at PIP and 68° at DIP with those trained on cylindrical pipe. The bending angles with SMA and super elastic wire were 54° and 22°. The measured angles with SMA alone are comparable with biological fingers. The present work marks a significant advancement in the field of finger prosthesis, offering a promising avenue for the well-being of finger amputees. • Employed Shape Memory Alloy (SMA) NiTi wire actuation system for prosthetic fingers, significantly surpassing traditional servo mechanisms in cost and flexibility compared to servo actuation. • Experimental investigation of prosthetic finger actuated with NiTi wire as Shape Memory Alloy and super-elastic wire in parallel indicates the effective bending of the prosthetic finger is lesser than that actuated with shape memory alloy only. • Comprehensive tests using hot water and an thermoelectric heat transfer circuit with Arduino Uno and electromyography sensors shows effective results at Distal Interphalangeal and Proximal Interphalangeal joints of prosthetic finger. • Shape memory alloy-based actuators enhances prosthetic finger mobility, reduces weight, and improve overall performance, contributing to cost-effective and improved prosthetic solutions that offers the quality of life for finger amputees. • Demonstrated the potential of SMA-based actuators for versatile applications beyond prosthesis which includes use in hot fluid medium, indicating their wide-range utility.
Analysis of Li Ion Battery using Computational Fluid Dynamics Prashant Gadhavi, Parth Shah, Reena Trivedi, Priyam Parikh 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science Amathe 2025 Proceedings, 2025 This paper explores how Lithium-ion (Li-ion) battery design can be optimized through the use of Computational Fluid Dynamics (CFD) research. The purpose of this paper is to analyze thermal problems in lithium-ion (Li-ion) batteries. Battery design can be optimized for maximum performance using CFD. Temperature and velocity are important factors to consider while examining the battery pack’s performance. To obtain the findings for the same variables, simulation was performed. Heat flow simulations within batteries provide insights into temperature gradients and velocity, which can ultimately result in considerable improvements by simulating real-world situations. Among these improvements are modifications to battery shape for improved heat control and more strategic arrangement of battery cells. The lifespan of batteries can be extended by putting these adjustments into practice along with reducing charging times, it also enhances thermal management, which raises the performance and security. Hotspots can shorten battery life and can cause thermal runaway, which is a dangerous situation. Cooling fluid flow can be simulated by providing precise boundary conditions and employing suitable models. To obtain the results, this simulation used a number of the basic principles of the finite volume discretization technique, including the energy equation model and the K-Epsilon model. The motive of this work is the creation of safer and more efficient Li-ion batteries. This paper makes the case for the advancement of lithium ion batteries, which will ultimately lead to improved battery pack performance.
Design and development of a tangible machine learning-based object recognition and learning system for Indian kids suffering from visual agnosia Priyam A. Parikh, Heet Shah, Pinal Vaghela, Smruti Kankrecha International Journal of Technology Enhanced Learning, 2025 Children with visual agnosia have problems recognising and remembering basic objects. Although they are not visually impaired, they may be disregarded in educational environments. They suffer from the issue of limited identification capacity and are unable to retain what they have seen. A physical device using machine learning has been developed to assist individuals with difficulties in recalling and recognising basic objects like fruits and vegetables. The gadget can recognise objects and provide detailed descriptions within a 100-word limit. The designed equipment aids children in retaining knowledge of several fundamental items and enhances their inquisitiveness towards them. Consequently, they are able to gradually develop their cognitive abilities, including sensorimotor and object permanence capabilities. The object detection is performed via the convolutional neural network (CNN) method implemented in TensorFlow. The equipment effectively conducted tests on more than 20 children, examining a minimum of 30 distinct items.
Color guided vehicle - An intelligent material handling mechatronic system 1st International and 16th National Conference on Machines and Mechanisms Inacomm 2013, 2013
RECENT SCHOLAR PUBLICATIONS
A smart glove for Parkinson’s severity detection via low-frequency motion features and on-device machine learning P Parikh, V Srivastava, KD Joshi, MA Shah, A Sharma Journal of Low Frequency Noise, Vibration and Active Control, 14613484251414903 , 2026 2026
Positional Control of a 3D-Printed Indigenous 6-DoF Feeding Robotic Arm Using ANFIS and Fuzzy-PID Controller PA Parikh, N Dalwadi, R Trivedi, D Roy Assistive Robotics, 241-278 , 2025 2025
Advancements in finger prosthesis: A design using shape memory alloy actuation mechanism A Sanadhya, K Chandak, J Gohil, R Trivedi, D Roy, P Parikh, M Chauhan, ... Results in Engineering 27, 105050 , 2025 2025 Citations: 2
Divyawear-A Wearable Haptic Cueing System for the Visually Impaired Indian People KD Joshi, N Maheshwari, H Patel, PA Parikh International Journal of Computer Applications 975, 8887 , 2025 2025 Citations: 2
Analysis of Li Ion Battery using Computational Fluid Dynamics P Gadhavi, P Shah, R Trivedi, P Parikh 2025 International Conference on Advances in Modern Age Technologies for … , 2025 2025
Kinematics of an indigenous 3D printed 6 DoF feeding serial manipulator: Forward and inverse kinematics, singularity and workspace analysis P Parikh, R Trivedi, A Sharma, N Dalwadi, K Joshi AIP Conference Proceedings 3227 (1), 030002 , 2025 2025
Electromyography operated soft finger-like actuator for prosthesis K Chandak, A Sanadhya, J Gohil, R Trivedi, P Parikh, M Chauhan, K Patel, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (3 … , 2025 2025 Citations: 3
Performance evaluation of an indigenously-designed high performance dynamic feeding robotic structure using advanced additive manufacturing technology, machine learning and … P Parikh, A Sharma, R Trivedi, D Roy, K Joshi International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (2 … , 2025 2025 Citations: 24
Design and development of a tangible machine learning-based object recognition and learning system for Indian kids suffering from visual agnosia PA Parikh, H Shah, P Vaghela, S Kankrecha International Journal of Technology Enhanced Learning 17 (4), 437-457 , 2025 2025 Citations: 1
Smart Water Flow Monitoring and Forecasting System using IoT and Machine Learning D Kshatri, P Parikh, KD Joshi Int J Res Appl Sci Eng Technol 13 (2), 862-873 , 2025 2025 Citations: 1
Integrated Smart Helmet and Jacket System for Enhanced Worker Safety and Health Monitoring in Hazardous Environments P Parikh 2025
Raspberry-Pi Based Physical Media to Audio Conversion device for Visually Impaired Individuals M Aaryan, P Priyam, S Parth International Journal of Scientific Research in Science, Engineering and … , 2024 2024 Citations: 2
An intelligent tangible full duplex speech and sign language converter using Raspberry Pi and machine learning G Sanchit, P Parikh Journal of emerging technologies and innovative research 11 (6), k404-k414 , 2024 2024
Design and Development of an Intelligent Water Purifier with a Tangible user interface for the Rural area in India K Agrawal, P Parikh, P Shah International Journal of All Research Education and Scientific Methods … , 2024 2024 Citations: 3
Design And Development Of A Tangible UI Enabled Portable Semi-Automatic Biogas Plant S Maloo, P Parikh, Priyam,Shah International Journal of Creative Research Thoughts (IJCRT) 12 (04), 646-656 , 2024 2024
Design and development of a low-cost vision-based 6 dof assistive feeding robot for the aged and specially-abled people P Parikh, R Trivedi, J Dave, K Joshi, D Adhyaru IETE Journal of Research 70 (2), 1716-1744 , 2024 2024 Citations: 30
DESIGN AND DEVELOPMENT OF A TANGIBLE MACHINE LEARNING-BASED OBJECT RECOGNITION AND LEARNING SYSTEM FOR INDIAN KIDS SUFFERING FROM VISUAL AGNOSIA P VAGHELA, S KANKRECHA, PA PARIKH, H SHAH INTERNATIONAL JOURNAL 1 (1) , 2024 2024
Development of a remotely operated 3D printed robotic hand using electromyography JA Gohil, RR Trivedi, PA Parikh AIP Conference Proceedings 2946 (1), 020009 , 2023 2023 Citations: 3
Optimising inverse kinematics algorithm for an indigenous vision-based feeding serial robot using particle swarm optimisation and hybrid genetic algorithm: a comparison PA Parikh, R Trivedi, KD Joshi International Journal of Advanced Mechatronic Systems 10 (2), 88-101 , 2023 2023 Citations: 9
Face Detection-Based Depth Estimation by 2D and 3D Cameras: A Comparison PA Parikh, KD Joshi, R Trivedi 2022 28th International Conference on Mechatronics and Machine Vision in … , 2022 2022 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Implementing fuzzy logic controller and PID controller to a DC encoder motor–“A case of an automated guided vehicle” P Parikh, S Sheth, R Vasani, JK Gohil Procedia Manufacturing 20, 219-226 , 2018 2018 Citations: 44
Design and development of a low-cost vision-based 6 dof assistive feeding robot for the aged and specially-abled people P Parikh, R Trivedi, J Dave, K Joshi, D Adhyaru IETE Journal of Research 70 (2), 1716-1744 , 2024 2024 Citations: 30
Trajectory planning for the five degree of freedom feeding robot using septic and nonic functions PA Parikh, R Trivedi, J Dave International Journal of Mechanical Engineering and Robotics Research 9 (7 … , 2020 2020 Citations: 29
A review: Modelling of Brushed DC motor and Various type of control methods S Maheriya, P Parikh Journal for Research 1 , 2016 2016 Citations: 28
Performance evaluation of an indigenously-designed high performance dynamic feeding robotic structure using advanced additive manufacturing technology, machine learning and … P Parikh, A Sharma, R Trivedi, D Roy, K Joshi International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (2 … , 2025 2025 Citations: 24
Color Guided Vehicle–An Intelligent Material Handling Mechatronic System PA Parikh, KD Joshi, S Sheth Proceedings of the 1st International and 16th National Conference on … , 2013 2013 Citations: 20
A Mechatronics design of a line tracker robot using Ziegler Nichols control technique for P, PI and PID controllers P Parikh, H Shah, S Sheth International Mechanical Engineering Congress (IMEC-2014), 13-15 , 2014 2014 Citations: 18
Development of a multi-channel wireless data acquisition System for swarm robots-A Mechatronic Approach using Arduino UNO and MATLAB P Parikh, H Shah, S Sheth International Journal of Engineering Development and Research (IJEDR) 2 (1 … , 2014 2014 Citations: 18
Trajectory planning of a 5 DOF feeding serial manipulator using 6thorder polynomial method P Priyam IOP Publishing Ltd , 2021 2021 Citations: 17
Velocity Analysis of a DC Brushed Encoder Motor using Ziegler-Nichols Algorithm: A Case of an Automated Guided Vehicle SS Priyam Parikh, Rupesh Vasani Indian Journal of Science and Technology 9 (38), 1-8 , 2016 2016 Citations: 17
Positional analysis of a dc brushed encoder motor using ziegler-nichols algorithm P Parikh, S Sheth, T Patel CAD/CAM, Robotics and Factories of the Future, 637-650 , 2016 2016 Citations: 14
Actuation of electro-pneumatic system using MATLAB simulink and arduino controller-A case of a mechatronics systems lab P Parikh, R Vasani, S Sheth, J Gohil International Conference on Communication and Signal Processing 2016 (ICCASP … , 2016 2016 Citations: 11
Continuous trajectory planning of a 6 DoF feeding robotic arm using a novel multi-point LSPB algorithm P Parikh, R Trivedi, K Joshi 2022 28th International Conference on Mechatronics and Machine Vision in … , 2022 2022 Citations: 10
Smart dustbin—an intelligent approach to fulfill Swatchh Bharat Mission PA Parikh, R Vasani, A Raval Int. J. Eng. Res. Electron. Commun. Eng 4 (10) , 2017 2017 Citations: 10
Optimising inverse kinematics algorithm for an indigenous vision-based feeding serial robot using particle swarm optimisation and hybrid genetic algorithm: a comparison PA Parikh, R Trivedi, KD Joshi International Journal of Advanced Mechatronic Systems 10 (2), 88-101 , 2023 2023 Citations: 9
Face Detection-Based Depth Estimation by 2D and 3D Cameras: A Comparison PA Parikh, KD Joshi, R Trivedi 2022 28th International Conference on Mechatronics and Machine Vision in … , 2022 2022 Citations: 8
Vision based Trajectory planning for a five DOF feeding robot using linear segment parabolic blend and cycloid functions PA Parikh, KD Joshi, R Trivedi Mechatronics and machine Vision in practice 4 , 2021 2021 Citations: 8
Vision-based trajectory planning for a five degree of freedom assistive feeding robotic arm using linear segments with parabolic blend and cycloid functions PA Parikh, KD Joshi, R Trivedi Mechatronics and Machine Vision in Practice 4, 193-206 , 2020 2020 Citations: 8
Control of Industrial Pneumatic & Hydraulic Systems using Serial Communication Technology & Matlab PA Parikh, N Modi, R Prajapati IJSRD-Int J Sci Res Dev 3 (10), 2321-0613 , 2015 2015 Citations: 4
Electromyography operated soft finger-like actuator for prosthesis K Chandak, A Sanadhya, J Gohil, R Trivedi, P Parikh, M Chauhan, K Patel, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (3 … , 2025 2025 Citations: 3
