Dr. Krishna Kant Pandey

Scopus Publications

Few-shot and zero-shot Assamese hate speech detection: a comparative benchmark of large language models
Basab Nath, Krishna Kant Pandey, Vinod Yadav, Phaneendra Varma Chintalapati
Social Network Analysis and Mining, 2026
Hate speech detection remains a critical challenge for natural language processing (NLP), particularly in low-resource languages such as Assamese. Although supervised models have shown promise, their performance is often constrained by the scarcity of annotated data and complex linguistic phenomena, such as code-mixing. In this study, we systematically benchmark large language models (LLMs), including GPT-4, GPT-3.5, and the open-source Mistral-7B, in prompt-based zero-shot and few-shot configurations, alongside fine-tuned multilingual transformers such as IndicBERT and mBERT, for Assamese hate speech detection. We evaluate these models on an extended Assamese hate speech dataset that combines a publicly available Kaggle corpus with additional code-mixed and transliterated examples. Our results show that GPT-4 achieves a macro-F1 score of 0.870 (few-shot, \(k=5\) ), significantly outperforming previous best-reported models, such as fine-tuned mBERT (0.72 F1). GPT-3.5 and Mistral-7B also demonstrate strong performance (0.807 and 0.801 macro-F1, respectively), with Mistral offering a competitive open-source alternative that supports efficient local deployment. Notably, GPT-4 maintains robust performance across challenging code-mixed and Roman-script text, highlighting its superior cross-lingual adaptability. Error analysis reveals challenges in cultural nuance and subtle sarcasm, while statistical significance tests confirm consistent improvements.
Ai and IoT are no longer limited to high-tech labs but are improving nutrition-focused agricultural farming
Madhav Dhakal, Minali Banerjee, Krishna Kant Pandey, Chandrabhan Seniya
Discover Food, 2026
The growing demand for nutritionally rich food, driven by population growth, climate change, and greater awareness of diet-related health. This situation requires a shift in traditional agriculture, which was focused on yield rather than nutritional quality. Furthermore, the global food system is facing mounting burden from climate change, soil degradation, and supply chain disruptions. Therefore, this systematic review examines how emerging technologies, especially artificial intelligence (AI) and the Internet of Things (IoT), can transform traditional farming techniques into nutrition-focused farming to meet global demands. Research and review papers on AI and IoT implementation were retrieved from Google Scholar, IEEE Explore, ScienceDirect, Springer, PubMed, Scopus and Taylor & Francis databases published between 2017 and 2025. We first examined the global market trends of AI and IoT-enabled technologies in the agriculture sector and then their implementation in agriculture parameter tracking, disease and pest forecasting, real-time monitoring of nutrients, biofortification, early warning systems for nutritional disruptions, and nutritional advisory for farmers. This systematic review highlights the importance of AI and IoT integration in automation, intelligent sensors and data-driven tools to foster sustainable farming, optimise resource utilisation, and scalability, leading to nutrition-sensitive agri-food. The adoption of AI and IoT is not merely a technological advancement but a pathway toward improving food quality while ensuring nutrition security and achieving sustainable agricultural goals (SDG 2, SDG 3 and SDG 9). The key challenges, including data privacy, limited digital access, and farmer adoption gaps, especially in developing countries, identified in this review, can be improved with good governance policies and research recommendations. The integration of advanced digital technologies with sustainable farming practices can render a solution for global challenges such as climate change, declining soil fertility, malnutrition, and food insecurity. Furthermore, this review provides directions for future research to develop nutrition-focused, resilient, and sustainable agricultural systems.
Multiple trajectory optimization and control of robotic agents using hybrid fuzzy embedded artificial intelligence technique for multi target problems
Saroj Kumar, Krishna Kant Pandey, Dayal R. Parhi, Manoj Kumar Muni
Scientific Reports, 2026
Wheeled robot is preferred for their ability to replace human efforts in performing tedious and complex tasks. To accomplish the goal of present global scenario like replacement of human effort and work on fixed automation, it is needed to target multi-objective problems in context of robotic path optimization and less time consumption. Path optimization and control over wheeled robots is very challenging and interesting part of robotic research. Here, Fuzzy logic and modified marine predator optimization algorithm are hybridized and implemented on mobile robots to fulfill real-time objectives of present scenario. In hybridization process, initially obstacle distances from robot location are fed into fuzzy-logic and interim output obtained from Fuzzy logic is again fed to marine predator optimization algorithm to obtain final output. A Petri-Net controller is added with proposed novel fuzzy- marine predator optimization algorithm that further optimizes the navigational parameters by avoiding inter-collision among robots in presence of moving obstacles. Simulation is performed through MATLAB software and the results are tested against real-time experiments under laboratory condition. Simulation and real-time experiments authenticate successful navigation of multiple robots by achieving their objectives. Furthermore, the proposed technique is tested against different AI techniques and existing paper. An average improvement of approximately 10% or more is observed in navigational parameters.
Enhanced terminal sliding mode control for gait exoskeleton device: experimental investigation and validation
Jyotindra Narayan, Mohamed Abbas, Princy Randhawa, Krishna Kant Pandey, Santosha K. Dwivedy
Scientific Reports, 2026
The design of pediatric lower-limb exoskeleton devices demands advanced control strategies that ensure safe, stable, and accurate real-time gait tracking despite model uncertainties and external disturbances. This study introduces an improved fast terminal sliding mode (IFTSM) control framework incorporating an adjustable exponential reaching law to enhance the reaching-phase dynamics of conventional terminal sliding mode schemes. The proposed formulation accelerates attraction to the sliding surface for large tracking errors while ensuring smoother finite-time convergence near equilibrium. Lyapunov-based analysis establishes finite-time stability and bounded tracking performance of the coupled subject-exoskeleton system. The controller is implemented on an existing pediatric lower-limb exoskeleton and evaluated under passive-assist operation with one healthy child (12 years, 40 kg, 132 cm) and one child with spastic cerebral palsy (12 years, 35 kg, 131 cm). Comparative experiments with multiple classical and advanced control schemes demonstrate superior real-time tracking behavior of the proposed IFTSM, with tracking error deviations relative to IFTSM on the order of 40-65% for conventional controllers and about 5-20% for advanced sliding-mode variants across the lower-limb joints, together with improved convergence characteristics and reduced cumulative control effort for the healthy child. Over a 25-day experimental protocol, consistent within-subject reductions in tracking error were observed for the CP-affected subject (37.54% hip, 49.47% knee, and 16.29% ankle), together with modest within-subject changes in joint kinematics and ∼10% increased alignment toward a healthy reference. These pilot-level results demonstrate the technical feasibility, robustness, and stable real-time performance of the proposed IFTSM framework for pediatric exoskeleton gait tracking, while broader statistical validation and functional outcome assessment remain topics for future investigation.
UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming
Gowtham Rajendiran, Jebakumar Rethnaraj, Shrikant Zade, Ramakrishna Guttula, Krishna Kant Pandey
Scientific Reports, 2026
Aeroponic vertical tower farming is a cost-effective, sustainable method for optimizing the food crop- Lactuca Sativa (lettuce-a greeny leaf vegetable); yet accurate biomass prediction of the lettuce crop remains challenging due to the non-linear relationship between the climatic conditions and the variable lettuce growth parameters. To address this challenge, a robust machine learning model called UniTriRob regression model has been developed. This model primarily focuses on mitigating the effects of outliers and heteroskedastic errors across key growth-related parameters, including pH, total dissolved solids (TDS), temperature, electrical conductivity (EC), turbidity, humidity, light intensity and growth. The experimental validation highlights the model’s capability with high R-squared value of 97.8386% and the minimized error rate of 0.46, that outperforms the conventional forecasting methods. Hence, the model presents a viable alternative for maximizing aeroponic lettuce production efficiency and increasing yield forecast accuracy, contributing to sustainable agricultural practices.
Improving Bidirectional English–Assamese Neural Machine Translation with Word Embeddings and Transformer Models
Basab Nath, Krishna Kant Pandey, Vinod Yadav, Prabhat Dixit
International Journal of Networked and Distributed Computing, 2026
NMT for Assamese language remains challenging because of its morphological rich language and lack of parallel resources. The paper aims to study the effect of word embeddings, different neural architectures and bidirectional pre-training for enhancing bidirectional English–Assamese translation. Three embedding methdos (Word2Vec, GloVe and FastText) were evaluated within RNNs using GRU and LSTM architecture. FastText consistently yielded the highest BLEU scores among recurrent models, achieving 24.99 for Assamese–English and 24.65 for English–Assamese, owing to its ability to capture subword level information and handle rare word forms. To establish stronger baselines, we fine tuned Transformer-based models (MarianMT and mBART) on a 175,000-sentence parallel corpus and further enhanced mBART through a Bidirectional Training (BiT) phase to promote cross-lingual parameter sharing. The BiT-pretrained variant achieved the best performance, with BLEU scores of 28.93 (As–En) and 28.57 (En–As). Finally, we compared these systems against a zero-shot GPT baseline, which underperformed relative to the fine-tuned models, reaffirming the effectiveness of specialized training for low-resource translation. Human evaluation of fluency and adequacy supported these results, confirming that Transformer-based architectures with bidirectional pre-training remain the most effective solution for English–Assamese NMT.
Dynamic Simulation and Torque Analysis of a 5-DOF SCORBOT ER-IV Manipulator for Welding Operations Using MATLAB-Sim Mechanics
G. R. Nikhade, Alok Kumar Jha, Saroj Kumar, Krishna Kant Pandey
Aip Conference Proceedings, 2026
Trajectory Optimization and Locomotion of a Mobile Robot in Dynamic Terrain
Krishna Kant Pandey, Hemant Kumar, Ashu Yadav, Pankaj Rai
Lecture Notes in Mechanical Engineering, 2026
A Study on Employment of Magnetorheological Fluid in Automotive and Engineering Domain
L. Karikalan, S. Padmanabhan, Ajay Partap Singh, Nishikant Kishor Dhapekar, Prashant Kumar, S. Baskar, Pankaj Kumar, Krishna Kant Pandey
Lecture Notes in Mechanical Engineering, 2026
Investigation of Mechanical Behaviour of Specially Treated PLA-Based Natural Hybrid Fibre Composite
K. V. Nikhil, S. Ramasubramanian, S. S. K. Deepak, R. Pugazhenthi, R. Bharathikanna, Alok Agrawal, Renuka Sharma, Krishna Kant Pandey
Lecture Notes in Mechanical Engineering, 2026
Experimental investigation on mechanical property analysis of long and short fiber glass
Pratiksha H. Wagh, Hari N. Kudal, A. H. Seikh, Ahmed Fouly, Krishna Kant Pandey
Green Materials, 2025
Multi-Attribute Optimization of Hot Machining Using Grey Relational Analysis and PCA Technique - A Hybrid Approach
Krishna Kant Pandey, Shalini Singh
2025 International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2025, 2025
Benchmarking Transformer Models for Fine-Grained Assamese Hate Speech Detection in Social Media
Basab Nath, Krishna Kant Pandey, Hilal Ahmad Shah
2025 2nd International Conference on Integration of Computational Intelligent System Icicis 2025, 2025
Design and Development of an Autonomous Mobile Robot for Industrial Applications
Krishna Kant Pandey, Uttam Kumar, Rakesh Kumar
2025 International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2025, 2025
Magnesium Metal Matrix Composites and Its Applications: A Comprehensive Study
Rohit, Santosh Kumar Singh, Dipti Tiwari, Sakshi Sahu, Vijay Baban Jadhav, Abhishek Kumar Jain, Krishna Kant Pandey
Lecture Notes in Mechanical Engineering, 2025
Investigation of Turning Parameters on AL7075 Alloy Reinforcement with Silicon Carbide for a Surface Roughness of Composite Material
S. Padmanabhan, Ch. Siva Ramakrishna, A. Lalitha Saravanan, Ramesh Bokde, S. Venugopal, V. Manikkavasakan, Krishna Kant Pandey
Lecture Notes in Mechanical Engineering, 2025
Investigation on process parameters and optimization of microstructural characterization of dissimilar copper CDA 101/steel AISI-SAE 1010 friction stir weld joints
Giridharan Krishnan, Stalin Balasubramaniam, Padmanabhan Sambandam, Vidyasagar Shetty, Ibrahim A. Alnaser, Asiful H. Seikh, Himadri Majumder, Krishna Kant Pandey
International Journal of Advanced Manufacturing Technology, 2025
Design and Analysis of Gudgeon Pin to Minimize Stress Concentration by Selecting Different Material Through FEA
J. Kumaraswamy, Ch. Siva Ramakrishna, S. Ramasubramanian, Rahul Mishra, D. T. Sakhare, K. Karthik, S. Baskar, Krishna Kant Pandey
Lecture Notes in Mechanical Engineering, 2025
Obstacle negotiation and navigation control of robotic agents in a dynamic and complex terrains
Krishna Kant Pandey, Manish Rawat, Ashu Yadav, Dayal R. Parhi, Ramanpreet Singh, Vimal Kumar Pathak
International Journal on Interactive Design and Manufacturing, 2024
Introduction to AI in biotechnology and biomedical engineering
Malad Mubarak, Aastha Senapati, Purva Bankar, Nirmitee Dolas, Jyoti Srivastava, Shankar Mukundrao Khade, Krishna Kant Pandey
Future of AI in Biomedicine and Biotechnology, 2024
Biomolecular Structural Rearrangement Analysis of FGFs Using Molecular Dynamics Simulations
Chandrabhan Seniya, Pratiksha Jadaun, Krishna Kant Pandey
2024 International Conference on Augmented Reality Intelligent Systems and Industrial Automation Ariia 2024, 2024
A Comparative Study of Model Variations: English-Nepali Language Pair
Basab Nath, Sagar Tamang, Shiladitya Munshi, Krishna Kant Pandey, Saroj Kumar, Princy Randhawa
2024 Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4 0 Otcon 2024, 2024
Design and development of a nano drone - A real time UAV
Krishna Kant Pandey, Saroj Kumar, Prakhar Jain, Uttam Kumar
Materials Today Proceedings, 2023
Design and Development of an Autonomous Robot Assistant
Krishna Kant Pandey, Tapan Shah, Sheetal Yadrave, Siddharth Shinde, Viraj Pagare
Lecture Notes in Mechanical Engineering, 2023
Implementation of Trajectory Control Algorithm in a Dynamic Environment
Krishna Kant Pandey, Surya Sharma, Renu, Saroj Kumar, Anupam Shukla, Prakash Chandra Sharma
Proceedings 4th IEEE 2023 International Conference on Computing Communication and Intelligent Systems Icccis 2023, 2023
Trajectory Planning and Collision Control of a Mobile Robot: A Penalty-Based PSO Approach
Krishna Kant Pandey, Chandrashekhar Kumbhar, Dayal R. Parhi, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Aminul Haque
Mathematical Problems in Engineering, 2023
Water cycle algorithm: An approach for improvement of navigational strategy of multiple humanoid robots
Manoj Kumar Muni, Saroj Kumar, Dayal R. Parhi, Krishna Kant Pandey
Robotica, 2022
Hybrid IWD-GA: An approach for path optimization and control of multiple mobile robot in obscure static and dynamic environments
Saroj Kumar, Dayal Ramakrushna Parhi, Krishna Kant Pandey, Manoj Kumar Muni
Robotica, 2021
Humanoid NAO: A kinematic encounter
Chinmaya Sahu, Dayal R. Parhi, Priyadarshi Biplab Kumar, Manoj Kumar Muni, Animesh Chhotray, Krishna Kant Pandey
Robotica, 2021
Dynamic Strategy Planning of Humanoid Robots Using Glowworm-Based Optimization
Priyadarshi Biplab Kumar, Dayal R. Parhi, Manoj Kumar Muni, Krishna Kant Pandey, Animesh Chhotray, Diana Pradhan
Robotica, 2021
Trajectory optimization of wheeled mobile robot (WMR) in the wall-type arena
Krishna Kant Pandey, Arun Mahadeorao Thakare, Saroj Kumar, Manoj Kumar Muni, Dayal R. Parhi
Aip Conference Proceedings, 2021
A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains
Abhishek Kumar Kashyap, Dayal R. Parhi, Manoj Kumar Muni, Krishna Kant Pandey
Applied Soft Computing Journal, 2020
Trajectory Planning and the Target Search by the Mobile Robot in an Environment Using a Behavior-Based Neural Network Approach
Krishna Kant Pandey, Dayal R. Parhi
Robotica, 2020
Optimal path search and control of mobile robot using hybridized sine-cosine algorithm and ant colony optimization technique
Saroj Kumar, Dayal R. Parhi, Manoj Kumar Muni, Krishna Kant Pandey
Industrial Robot, 2020
Path Planning of the Mobile Robot Using Fuzzified Advanced Ant Colony Optimization
Saroj Kumar, Krishna Kant Pandey, Manoj Kumar Muni, Dayal R. Parhi
Lecture Notes in Mechanical Engineering, 2020
Path Planning of a Humanoid Robot Using Rule-Based Technique
Manoj Kumar Muni, Priyadarshi Biplab Kumar, Dayal R. Parhi, Asita Kumar Rath, Harish Chandra Das, Animesh Chhotray, Krishna Kant Pandey, Kitty Salony
Lecture Notes in Mechanical Engineering, 2020
Static and dynamic path planning of humanoids using an advanced regression controller
Priyadarshi Kumar, Chinmaya Sahu, Dayal Parhi, Krishna Pandey, Animesh Chhotray
Scientia Iranica, 2019
Modelling and Stability Analysis of a TWMM Using Kalman Filter and PID Controller
Animesh Chhotray, Dayal Ramakrushna Parhi, Rishabh Kundu, Priyadarshi Biplab Kumar, Krishna Kant Pandey
Ieecon 2018 6th International Electrical Engineering Congress, 2018
Humanoid Navigation: An Intelligent Computer Vision Based Approach
Priyadarshi Biplab Kumar, Dayal R. Parhi, Mukesh Sethy, Animesh Chhotray, Krishna Kant Pandey, Chinmaya Sahu
Ieecon 2018 6th International Electrical Engineering Congress, 2018
A hybridized RA-APSO approach for humanoid navigation
Priyadarshi Biplab Kumar, Krishna Kant Pandey, Chinmaya Sahu, Animesh Chhotray, Dayal R. Parhi
2017 Nirma University International Conference on Engineering Nuicone 2017, 2017
Kinematic analysis of a two-wheeled self-balancing mobile robot
Animesh Chhotray, Manas K. Pradhan, Krishna K. Pandey, Dayal R. Parhi
Lecture Notes in Electrical Engineering, 2016
Navigation of mobile robot using type-2 FLC
Krishna Kant Pandey, Anish Pandey, Animesh Chhotray, Dayal R. Parhi
Lecture Notes in Electrical Engineering, 2016
Real time navigation strategies for webots using fuzzy controller
Krishna Kant Pandey, Prases K. Mohanty, Dayal R Parhi
2014 IEEE 8th International Conference on Intelligent Systems and Control Green Challenges and Smart Solutions Isco 2014 Proceedings, 2014
Path planning navigation of mobile robot with obstacles avoidance using fuzzy logic controller
Anish Pandey, Rakesh Kumar Sonkar, Krishna Kant Pandey, D. R. Parhi
2014 IEEE 8th International Conference on Intelligent Systems and Control Green Challenges and Smart Solutions Isco 2014 Proceedings, 2014
MANFIS Approach for Path Planning and Obstacle Avoidance for Mobile Robot Navigation
Prases Kumar Mohanty, Krishna K. Pandey, Dayal R. Parhi
Advances in Intelligent Systems and Computing, 2014

RECENT SCHOLAR PUBLICATIONS

Experimental investigation on mechanical property analysis of long and short fiber glass
PH Wagh, HN Kudal, AH Seikh, A Fouly, KK Pandey
Green Materials 13 (2), 92-103 , 2025
2025
Citations: 3
Investigation on process parameters and optimization of microstructural characterization of dissimilar copper CDA 101/steel AISI-SAE 1010 friction stir weld joints
G Krishnan, S Balasubramaniam, P Sambandam, V Shetty, IA Alnaser, ...
The International Journal of Advanced Manufacturing Technology 136 (1), 243-261 , 2025
2025
Citations: 7
Investigation of Turning Parameters on AL7075 Alloy Reinforcement
S Padmanabhan, CS Ramakrishna, AL Saravanan, R Bokde, ...
Recent Advancements in Product Design and Manufacturing Systems: Select … , 2024
2024
Obstacle negotiation and navigation control of robotic agents in a dynamic and complex terrains
KK Pandey, M Rawat, A Yadav, DR Parhi, R Singh, VK Pathak
International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (7 … , 2024
2024
Citations: 1
A comparative study of model variations: English-nepali language pair
B Nath, S Tamang, S Munshi, KK Pandey, S Kumar, P Randhawa
2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024
2024
Citations: 3
Comparison of the performance of SWAT and hybrid M5P tree models in rainfall–runoff simulation
S Kumar, KK Pandey, A Ahirwar
Journal of Water and Health 22 (4), 639-651 , 2024
2024
Citations: 6
Design and development of a nano drone–A real time UAV
KK Pandey, S Kumar, P Jain, U Kumar
Materials Today: Proceedings 115, 245-249 , 2024
2024
Design and Analysis of Gudgeon Pin to Minimize Stress Concentration by Selecting Different Material Through FEA
J Kumaraswamy, C Siva Ramakrishna, S Ramasubramanian, R Mishra, ...
Conference of Innovative Product Design and Intelligent Manufacturing System … , 2023
2023
Citations: 1
Investigation of Turning Parameters on AL7075 Alloy Reinforcement with Silicon Carbide for a Surface Roughness of Composite Material
S Padmanabhan, C Siva Ramakrishna, A Lalitha Saravanan, R Bokde, ...
Conference of Innovative Product Design and Intelligent Manufacturing System … , 2023
2023
Pan-India influenza-like illness (ILI) and Severe acute respiratory infection (SARI) surveillance: epidemiological, clinical and genomic analysis
V Potdar, N Vijay, L Mukhopadhyay, N Aggarwal, SD Bhardwaj, ...
Frontiers in Public Health 11, 1218292 , 2023
2023
Citations: 33
Genetic variability, character association and component analysis in wheat: Genetic variability in wheat
RS Dvivedi, B Singh, VN Pathak, SP Verma, KK Pandey
Journal of AgriSearch 10 (3), 151-157 , 2023
2023
Citations: 5
Performance enhancement of solar air heater using artificial roughness
R Saxena, P Pachorkar, A Jain, H Majumder, KK Pandey, SK Mishra, ...
Materials Today: Proceedings , 2023
2023
Citations: 8
Research Article Trajectory Planning and Collision Control of a Mobile Robot: A Penalty-Based PSO Approach
KK Pandey, C Kumbhar, DR Parhi, SK Mathivanan, P Jayagopal, ...
2023
Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach
KK Pandey, C Kumbhar, DR Parhi, SK Mathivanan, P Jayagopal, ...
Mathematical Problems in Engineering 2023 (1), 1040461 , 2023
2023
Citations: 11
Design and Development of an Autonomous Robot Assistant
KK Pandey, T Shah, S Yadrave, S Shinde, V Pagare
Conference of Innovative Product Design and Intelligent Manufacturing System … , 2022
2022
Citations: 5
Estimating rainfall–runoff modeling using the rainfall prognostic model-based artificial framework with a well-ordered selective genetic algorithm
S Kumar, KK Pandey, S Kumar, S Supriya
Journal of Hydroinformatics 24 (5), 1066-1090 , 2022
2022
Citations: 3
Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots
MK Muni, S Kumar, DR Parhi, KK Pandey
Robotica 40 (3), 798-816 , 2022
2022
Citations: 13
Humanoid NAO: A kinematic encounter
C Sahu, DR Parhi, PB Kumar, MK Muni, A Chhotray, KK Pandey
Robotica 39 (11), 1997-2007 , 2021
2021
Citations: 6
Hybrid IWD-GA: an approach for path optimization and control of multiple mobile robot in obscure static and dynamic environments
S Kumar, DR Parhi, KK Pandey, MK Muni
Robotica 39 (11), 2033-2060 , 2021
2021
Citations: 22
Dynamic strategy planning of humanoid robots using glowworm-based optimization
PB Kumar, DR Parhi, MK Muni, KK Pandey, A Chhotray, D Pradhan
Robotica 39 (6), 1051-1063 , 2021
2021
Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

Path planning navigation of mobile robot with obstacles avoidance using fuzzy logic controller
A Pandey, RK Sonkar, KK Pandey, DR Parhi
2014 IEEE 8th international conference on intelligent systems and control … , 2014
2014
Citations: 141
Mobile robot navigation in unknown static environments using ANFIS controller
A Pandey, S Kumar, KK Pandey, DR Parhi
Perspectives in Science 8, 421-423 , 2016
2016
Citations: 104
A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains
AK Kashyap, DR Parhi, MK Muni, KK Pandey
Applied Soft Computing 96, 106581 , 2020
2020
Citations: 83
Optimal path search and control of mobile robot using hybridized sine-cosine algorithm and ant colony optimization technique
S Kumar, DR Parhi, MK Muni, KK Pandey
Industrial Robot: the international journal of robotics research and … , 2020
2020
Citations: 51
Trajectory planning and the target search by the mobile robot in an environment using a behavior-based neural network approach
KK Pandey, DR Parhi
Robotica 38 (9), 1627-1641 , 2020
2020
Citations: 38
Pan-India influenza-like illness (ILI) and Severe acute respiratory infection (SARI) surveillance: epidemiological, clinical and genomic analysis
V Potdar, N Vijay, L Mukhopadhyay, N Aggarwal, SD Bhardwaj, ...
Frontiers in Public Health 11, 1218292 , 2023
2023
Citations: 33
Path planning of the mobile robot using fuzzified advanced ant colony optimization
S Kumar, KK Pandey, MK Muni, DR Parhi
Innovative Product Design and Intelligent Manufacturing Systems: Select … , 2020
2020
Citations: 26
A hybridized RA-APSO approach for humanoid navigation
PB Kumar, KK Pandey, C Sahu, A Chhotray, DR Parhi
2017 Nirma University International Conference on Engineering (NUiCONE), 1-6 , 2017
2017
Citations: 26
Kinematic analysis of a two-wheeled self-balancing mobile robot
A Chhotray, MK Pradhan, KK Pandey, DR Parhi
Proceedings of the International Conference on Signal, Networks, Computing … , 2016
2016
Citations: 24
Hybrid IWD-GA: an approach for path optimization and control of multiple mobile robot in obscure static and dynamic environments
S Kumar, DR Parhi, KK Pandey, MK Muni
Robotica 39 (11), 2033-2060 , 2021
2021
Citations: 22
Navigation of mobile robot using type-2 FLC
KK Pandey, A Pandey, A Chhotray, DR Parhi
Proceedings of the International Conference on Signal, Networks, Computing … , 2016
2016
Citations: 20
Real time navigation strategies for webots using fuzzy controller
KK Pandey, PK Mohanty, DR Parhi
2014 IEEE 8th International Conference on Intelligent Systems and Control … , 2014
2014
Citations: 18
Path planning and control of mobile robots using modified Tabu search algorithm in complex environment
S Kumar, MK Muni, KK Pandey, A Chhotray, DR Parhi
International conference on artificial intelligence in manufacturing … , 2019
2019
Citations: 17
Static and dynamic path planning of humanoids using an advanced regression controller
PB Kumar, C Sahu, DR Parhi, KK Pandey, A Chhotray
Scientia Iranica. Transaction B, Mechanical Engineering 26 (1), 375-393 , 2019
2019
Citations: 17
Analysis and investigation of Mamdani fuzzy for control and navigation of mobile robot and exploration of different AI techniques pertaining to robot navigation
H Rawat, DR Parhi, BK Priyadarshi, KK Pandey, AK Behera
Emerging trends in Engineering, Science and Manufacturing,(ETESM-2018), IGIT … , 2018
2018
Citations: 17
Sugeno fuzzy logic analysis: Navigation of multiple humanoids in complex environments
MK Muni, DR Parhi, PB Kumar, KK Pandey, S Kumar, A Chhotray
International conference on artificial intelligence in manufacturing … , 2019
2019
Citations: 15
Path planning of a humanoid robot using rule-based technique
MK Muni, PB Kumar, DR Parhi, AK Rath, HC Das, A Chhotray, KK Pandey, ...
Advances in Mechanical Engineering: Select Proceedings of ICRIDME 2018, 1547 … , 2020
2020
Citations: 14
MANFIS approach for path planning and obstacle avoidance for mobile robot navigation
PK Mohanty, KK Pandey, DR Parhi
ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention … , 2014
2014
Citations: 14
Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots
MK Muni, S Kumar, DR Parhi, KK Pandey
Robotica 40 (3), 798-816 , 2022
2022
Citations: 13
Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach
KK Pandey, C Kumbhar, DR Parhi, SK Mathivanan, P Jayagopal, ...
Mathematical Problems in Engineering 2023 (1), 1040461 , 2023
2023
Citations: 11

Dr. Krishna Kant Pandey

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS