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2020 – today
- 2024
[j76]Pushpendra Gupta
, Dilip Kumar Pratihar, Kalyanmoy Deb:
Analysis and Optimization of Gait Cycle of 25-DOF NAO Robot Using Particle Swarm Optimization and Genetic Algorithms. Int. J. Humanoid Robotics 21(2): 2350011:1-2350011:44 (2024)- 2023
- [j75]Sanjib Jaypuria, Venkatasainath Bondada, Santosh Kumar Gupta, Dilip Kumar Pratihar, Debalay Chakrabarti, M. N. Jha:
Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression. Expert Syst. Appl. 211: 118677 (2023) - [j74]Amit Kumar Das, Saikat Sahoo, Dilip Kumar Pratihar:
An Improved Design of Knee Orthosis Using Self-Adaptive Bonobo Optimizer (SaBO). J. Intell. Robotic Syst. 107(1): 8 (2023) - 2022
- [j73]Amit Kumar Das, Dilip Kumar Pratihar:
Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems. Appl. Intell. 52(3): 2942-2974 (2022) - [j72]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
An approximate marginal spread computation approach for the budgeted influence maximization with delay. Computing 104(3): 657-680 (2022) - 2021
- [j71]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Earned benefit maximization in social networks under budget constraint. Expert Syst. Appl. 169: 114346 (2021) - [j70]Amit Kumar Das, Bitan Pratihar, Dilip Kumar Pratihar:
Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool. Expert Syst. Appl. 170: 114577 (2021) - [j69]Debasish Das, Amit Kumar Das, Abhishek Rudra Pal, Sanjib Jaypuria, Dilip Kumar Pratihar, Gour Gopal Roy:
Meta-Heuristic Algorithms-Tuned Elman vs. Jordan Recurrent Neural Networks for Modeling of Electron Beam Welding Process. Neural Process. Lett. 53(2): 1647-1663 (2021) - [j68]Amit Kumar Das, Dilip Kumar Pratihar:
Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover. Soft Comput. 25(7): 5455-5481 (2021) - [j67]Saikat Sahoo, Dilip Kumar Pratihar, Sudipta Mukhopadhyay:
A Locomotion Mode Adaptive Strategy for Real-Time Detection of Gait Events During Negotiating Staircases. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - 2020
- [b1]Abhijit Mahapatra, Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Multi-body Dynamic Modeling of Multi-legged Robots. Cognitive Intelligence and Robotics, Springer 2020, ISBN 978-981-15-2952-8, pp. 1-164 - [j66]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Maximizing the earned benefit in an incentivized social networking environment: a community-based approach. J. Ambient Intell. Humaniz. Comput. 11(6): 2539-2555 (2020) - [j65]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
A survey on influence maximization in a social network. Knowl. Inf. Syst. 62(9): 3417-3455 (2020) - [j64]Amit Kumar Das, Ankit Kumar Nikum, Siva Vignesh Krishnan, Dilip Kumar Pratihar:
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization. Knowl. Inf. Syst. 62(11): 4407-4444 (2020) - [j63]Abhijit Mahapatra, Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Optimal Feet-Forces' and Torque Distributions of Six-Legged Robot Maneuvering on Various Terrains. Robotica 38(6): 1041-1063 (2020) - [j62]Saikat Sahoo, Madhav Maheshwari, Dilip Kumar Pratihar, Sudipta Mukhopadhyay:
A Geometry Recognition-Based Strategy for Locomotion Transitions Early Prediction of Prosthetic Devices. IEEE Trans. Instrum. Meas. 69(4): 1259-1267 (2020) - [j61]Saikat Sahoo, Shivam Kumar Panda, Dilip Kumar Pratihar, Sudipta Mukhopadhyay:
Prediction of Step Length Using Neuro-Fuzzy Approach Suitable for Prosthesis Control. IEEE Trans. Instrum. Meas. 69(8): 5658-5665 (2020) - [c22]Prabin Kumar Rath, Alejandro Ramirez-Serrano, Dilip Kumar Pratihar:
Moving object detection for humanoid navigation in cluttered dynamic indoor environments using a confidence tracking approach. DICTA 2020: 1-7 - [c21]Deepak Deshmukh, Dilip Kumar Pratihar, Alok Kanti Deb, Hena Ray, Alokesh Ghosh:
ANFIS-Based Inverse Kinematics and Forward Dynamics of 3 DOF Serial Manipulator. HIS 2020: 144-156 - [c20]Deepak Deshmukh, Dilip Kumar Pratihar, Alok Kanti Deb, Hena Ray, Nabarun Bhattacharyya:
Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot. HIS 2020: 157-170 - [c19]Pradeep Nahak, Atanu Jana, Dilip Kumar Pratihar, Alok Kanti Deb, Hena Ray:
Study on Vision System for Disease Detection Using CNN and LabVIEW of an Agricultural Robot. SoCPaR 2020: 345-353 - [i4]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Earned Benefit Maximization in Social Networks Under Budget Constraint. CoRR abs/2004.04003 (2020) - [i3]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay. CoRR abs/2005.11763 (2020)
2010 – 2019
- 2019
- [j60]Amit Kumar Das, Dilip Kumar Pratihar:
A directional crossover (DX) operator for real parameter optimization using genetic algorithm. Appl. Intell. 49(5): 1841-1865 (2019) - [j59]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem. Expert Syst. Appl. 125: 1-13 (2019) - [j58]Amit Kumar Das, Dilip Kumar Pratihar:
Performance improvement of a genetic algorithm using a novel restart strategy with elitism principle. Int. J. Hybrid Intell. Syst. 15(1): 1-15 (2019) - [j57]Amit Kumar Das, Dilip Kumar Pratihar:
A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes. Knowl. Based Syst. 175: 1-11 (2019) - [c18]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Maximizing the Earned Benefit in an Incentivized Social Networking Environment: An Integer Programming-Based Approach. COMAD/CODS 2019: 322-325 - 2018
- [j56]Debasish Das, Dilip Kumar Pratihar, Gour Gopal Roy, Abhishek Rudra Pal:
Phenomenological model-based study on electron beam welding process, and input-output modeling using neural networks trained by back-propagation algorithm, genetic algorithms, particle swarm optimization algorithm and bat algorithm. Appl. Intell. 48(9): 2698-2718 (2018) - [j55]Saikat Sahoo, Dilip Kumar Pratihar, Sudipta Mukhopadhyay:
A novel supervisory control scheme to tackle variations in step length for walking with powered ankle prosthesis. Biomed. Signal Process. Control. 46: 212-220 (2018) - [j54]Sagardip Majumder, Dilip Kumar Pratihar:
Multi-sensors data fusion through fuzzy clustering and predictive tools. Expert Syst. Appl. 107: 165-172 (2018) - [c17]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar, Abhinav Sirohi:
A Priority-Based Ranking Approach for Maximizing the Earned Benefit in an Incentivized Social Network. ISDA (1) 2018: 717-726 - [p7]Amit Kumar Das, Debasish Das, Dilip Kumar Pratihar:
Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input-Output Relationships of a Process. Multi-Objective Optimization 2018: 299-318 - [i2]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
A Survey on Influence Maximization in a Social Network. CoRR abs/1808.05502 (2018) - 2017
- [j53]Somak Datta, Deepanshu, Dilip Kumar Pratihar:
Modelling of input-output relationships of metal inert gas welding process using soft computing-based approaches. Int. J. Comput. Intell. Stud. 6(1): 1-28 (2017) - [j52]Geet Lahoti, Dilip Kumar Pratihar:
Recurrent neural networks to model input-output relationships of metal inert gas (MIG) welding process. Int. J. Data Anal. Tech. Strateg. 9(3): 248-282 (2017) - [j51]Dilip Kumar Pratihar, Bitan Pratihar:
A review on applications of soft computing in design and development of intelligent autonomous robots. Int. J. Hybrid Intell. Syst. 14(1-2): 49-65 (2017) - [c16]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Algorithms for projecting a bipartite network. IC3 2017: 1-3 - [c15]Amit Kumar Das, Dilip Kumar Pratihar:
A Novel Restart Strategy for Solving Complex Multi-modal Optimization Problems Using Real-Coded Genetic Algorithm. ISDA 2017: 32-41 - [i1]Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Properties of a Projected Network of a Bipartite Network. CoRR abs/1707.00912 (2017) - 2016
- [j50]Souptick Chanda, Sanjay Gupta, Dilip Kumar Pratihar:
A combined neural network and genetic algorithm based approach for optimally designed femoral implant having improved primary stability. Appl. Soft Comput. 38: 296-307 (2016) - [j49]Abhishek Arijit, Dilip Kumar Pratihar:
Inverse dynamics learned gait planning of an exoskeleton to negotiate uneven terrains using neural networks. Int. J. Hybrid Intell. Syst. 13(1): 49-62 (2016) - [j48]Kelin Jose, Dilip Kumar Pratihar:
Task allocation and collision-free path planning of centralized multi-robots system for industrial plant inspection using heuristic methods. Robotics Auton. Syst. 80: 34-42 (2016) - [c14]Abhishek Rudra Pal, Dilip Kumar Pratihar:
Estimation of Joint Torque and Power Consumption During Sit-to-Stand Motion of Human-being Using a Genetic Algorithm. KES 2016: 1497-1506 - [c13]Sayan Ghosh, Ayananta Das, Dilip Kumar Pratihar:
A New Form of Fuzzy Reasoning Tool to Ensure Both Accuracy and Readability. SoCPaR 2016: 54-65 - 2015
- [j47]Nishith Kumar Samal, Dilip Kumar Pratihar:
Joint optimization of preventive maintenance and spare parts inventory using genetic algorithms and particle swarm optimization algorithm. Int. J. Syst. Assur. Eng. Manag. 6(3): 248-258 (2015) - [c12]Abhishek Arijit, Dilip Kumar Pratihar, Rathindranath Maiti:
Study on Inverse Dynamics of Full-Body Powered Pseudo-Anthropomorphic Exoskeleton Using Neural Networks. HIS 2015: 295-305 - 2014
- [j46]Nishith Kumar Samal, Dilip Kumar Pratihar:
Optimization of variable demand fuzzy economic order quantity inventory models without and with backordering. Comput. Ind. Eng. 78: 148-162 (2014) - [j45]M. N. Jha, Dilip Kumar Pratihar, A. V. Bapat, Vidyut Dey, Maajid Ali, A. C. Bagchi:
Modeling of input-output Relationships for electron beam butt welding of dissimilar materials using Neural Networks. Int. J. Comput. Intell. Appl. 13(3) (2014) - [j44]Anurag Singh, David E. Cooper, N. J. Blundell, Dilip Kumar Pratihar, Gregory J. Gibbons:
Modelling of weld-bead geometry and hardness profile in laser welding of plain carbon steel using neural networks and genetic algorithms. Int. J. Comput. Integr. Manuf. 27(7): 656-674 (2014) - [j43]M. N. Jha, Dilip Kumar Pratihar, A. V. Bapat, Vidyut Dey, Maajid Ali, A. C. Bagchi:
Knowledge-based systems using neural networks for electron beam welding process of reactive material (Zircaloy-4). J. Intell. Manuf. 25(6): 1315-1333 (2014) - [j42]Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Kinematics, Dynamics and Power Consumption Analyses for Turning Motion of a Six-Legged Robot. J. Intell. Robotic Syst. 74(3-4): 663-688 (2014) - 2013
- [j41]Somak Datta, Dilip Kumar Pratihar, P. P. Bandyopadhyay:
Hierarchical adaptive neuro-fuzzy inference systems trained by evolutionary algorithms to model plasma spray coating process. J. Intell. Fuzzy Syst. 24(2): 355-362 (2013) - [j40]Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Adaptive neuro-fuzzy expert systems for predicting specific energy consumption and energy stability margin in crab walking of six-legged robots. J. Intell. Fuzzy Syst. 24(3): 467-482 (2013) - [j39]Kuntal Maji, Dilip Kumar Pratihar, A. K. Nath:
Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system. Soft Comput. 17(5): 849-865 (2013) - 2012
- [j38]Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Soft computing-based approaches to predict energy consumption and stability margin of six-legged robots moving on gradient terrains. Appl. Intell. 37(1): 31-46 (2012) - [j37]Somak Datta, Dilip Kumar Pratihar, P. P. Bandyopadhyay:
Modeling of input-output relationships for a plasma spray coating process using soft computing tools. Appl. Soft Comput. 12(11): 3356-3368 (2012) - [j36]Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Soft computing-based expert systems to predict energy consumption and stability margin in turning gaits of six-legged robots. Expert Syst. Appl. 39(5): 5460-5469 (2012) - [j35]Shibendu Shekhar Roy, Dilip Kumar Pratihar:
Effects of turning gait parameters on energy consumption and stability of a six-legged walking robot. Robotics Auton. Syst. 60(1): 72-82 (2012) - 2011
- [j34]Tapas Gangopadhyay, Dilip Kumar Pratihar, Indrajit Basak:
Expert system to predict forging load and axial stress. Appl. Soft Comput. 11(1): 744-753 (2011) - [j33]Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
A Comparative Study of Fuzzy C-Means Algorithm and Entropy-Based Fuzzy Clustering Algorithms. Comput. Informatics 30(4): 701-720 (2011) - [j32]Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
Genetic algorithm-tuned entropy-based fuzzy C-means algorithm for obtaining distinct and compact clusters. Fuzzy Optim. Decis. Mak. 10(2): 153-166 (2011) - [j31]Rakesh Malviya, Dilip Kumar Pratihar:
Tuning of neural networks using particle swarm optimization to model MIG welding process. Swarm Evol. Comput. 1(4): 223-235 (2011) - 2010
- [j30]Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
Statistical modeling of psychosis data. Comput. Methods Programs Biomed. 100(3): 222-236 (2010) - [j29]Kuntal Maji, Dilip Kumar Pratihar:
Forward and reverse mappings of electrical discharge machining process using adaptive network-based fuzzy inference system. Expert Syst. Appl. 37(12): 8566-8574 (2010) - [j28]Suman Ghosh, Dilip Kumar Pratihar, Biswajit Maiti, Prasanta Kumar Das:
A hybrid computing scheme for shape optimisation in thermo-fluid problems. Int. J. Comput. Intell. Stud. 1(3): 207-226 (2010) - [j27]Somak Datta, Dilip Kumar Pratihar:
A hybrid computing scheme for forward and reverse mappings of metal inert gas welding process. Int. J. Comput. Intell. Stud. 1(3): 256-272 (2010) - [j26]Kuntal Maji, Dilip Kumar Pratihar, Suprakash Patra:
Modelling of electrical discharge machining process using regression analysis, adaptive neuro-fuzzy inference system and genetic algorithm. Int. J. Data Min. Model. Manag. 2(1): 75-94 (2010) - [j25]Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
Forward and reverse modeling of electron beam welding process using radial basis function neural networks. Int. J. Knowl. Based Intell. Eng. Syst. 14(4): 201-215 (2010) - [j24]Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Dynamically balanced optimal gaits of a ditch-crossing biped robot. Robotics Auton. Syst. 58(4): 349-361 (2010) - [c11]Shibendu Shekhar Roy, Pranab Sen Choudhury, Dilip Kumar Pratihar:
Dynamic Modeling of Energy Efficient Hexapod Robot's Locomotion over Gradient Terrains. FIRA 2010: 138-145 - [c10]Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
Hybrid Optimization Scheme for Radial Basis Function Neural Network. SEAL 2010: 613-622 - [p6]Dilip Kumar Pratihar, Lakhmi C. Jain:
Towards Intelligent Autonomous Systems. Intelligent Autonomous Systems 2010: 1-4 - [p5]Nirmal Baran Hui, Dilip Kumar Pratihar:
Design and Development of Intelligent Autonomous Robots. Intelligent Autonomous Systems 2010: 29-56 - [p4]Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Gait Planning of Biped Robots Using Soft Computing: An Attempt to Incorporate Intelligence. Intelligent Autonomous Systems 2010: 57-85 - [p3]Subhagata Chattopadhyay, Dilip Kumar Pratihar:
Towards Developing Intelligent Autonomous Systems in Psychiatry: Its Present State and Future Possibilities. Intelligent Autonomous Systems 2010: 143-166 - [e1]Dilip Kumar Pratihar, Lakhmi C. Jain:
Intelligent Autonomous Systems: Foundations and Applications. Studies in Computational Intelligence 275, Springer 2010, ISBN 978-3-642-11675-9 [contents]
2000 – 2009
- 2009
- [j23]Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Soft computing-based gait planners for a dynamically balanced biped robot negotiating sloping surfaces. Appl. Soft Comput. 9(1): 191-208 (2009) - [j22]Tushar Kumar Pratihar, Dilip Kumar Pratihar:
Design of cluster-wise optimal fuzzy logic controllers to model input-output relationships of some manufacturing processes. Int. J. Data Min. Model. Manag. 1(2): 178-205 (2009) - [j21]Subba Rao Amada, Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Adaptive vs. conventional potential field approaches for solving navigation problems of a real car-like wheeled robot. Int. J. Intell. Def. Support Syst. 2(4): 290-318 (2009) - [j20]Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
Fuzzy-Logic-Based Screening and Prediction of Adult Psychoses: A Novel Approach. IEEE Trans. Syst. Man Cybern. Part A 39(2): 381-387 (2009) - [c9]Somak Datta, Dilip Kumar Pratihar:
Modeling of Metal Inert Gas Welding Process using Radial Basis Function Neural Networks. NaBIC 2009: 1105-1110 - [r1]Dilip Kumar Pratihar:
Non-Linear Dimensionality Reduction Techniques. Encyclopedia of Data Warehousing and Mining 2009: 1416-1424 - 2008
- [j19]Mahesh B. Parappagoudar, Dilip Kumar Pratihar, Gauranga Lal Datta:
Forward and reverse mappings in green sand mould system using neural networks. Appl. Soft Comput. 8(1): 239-260 (2008) - [j18]Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Inverse dynamics learned gait planner for a two-legged robot moving on uneven terrains using neural networks. Int. J. Adv. Intell. Paradigms 1(1): 80-109 (2008) - [j17]J. P. Ganjigatti, Dilip Kumar Pratihar:
Forward and reverse modeling in MIG welding process using fuzzy logic-based approaches. J. Intell. Fuzzy Syst. 19(2): 115-130 (2008) - [j16]Nirmal Baran Hui, Dilip Kumar Pratihar:
Soft Computing-Based Navigation Schemes for a Real Wheeled Robot Moving Among Static Obstacles. J. Intell. Robotic Syst. 51(3): 333-368 (2008) - [j15]Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
Developing fuzzy classifiers to predict the chance of occurrence of adult psychoses. Knowl. Based Syst. 21(6): 479-497 (2008) - [c8]Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
Prediction of Weld Bead Profile Using Neural Networks. ICETET 2008: 581-586 - [c7]P. Shrivasthava, Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
An Approach for 3D Reconstruction of Environment Using Stereo-Vision System. ICIIS 2008: 1-7 - [c6]Tushar, Pandu Ranga Vundavilli, Dilip Kumar Pratihar:
Dynamically Balanced Ascending Gait Generation of a Biped Robot Negotiating Staircase. ICIIS 2008: 1-6 - [p2]Tushar Kumar Pratihar, Dilip Kumar Pratihar:
Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller. Engineering Evolutionary Intelligent Systems 2008: 211-250 - 2007
- [j14]Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
Some studies on fuzzy clustering of psychosis data. Int. J. Bus. Intell. Data Min. 2(2): 143-159 (2007) - [j13]Pandu Ranga Vundavilli, Sambit Kumar Sahu, Dilip Kumar Pratihar:
Dynamically Balanced Ascending and Descending Gaits of a Two-Legged Robot. Int. J. Humanoid Robotics 4(4): 717-751 (2007) - [j12]Pandu Ranga Vundavilli, Sambit Kumar Sahu, Dilip Kumar Pratihar:
Online Dynamically Balanced Ascending and Descending Gait Generations of a Biped Robot Using Soft Computing. Int. J. Humanoid Robotics 4(4): 777-814 (2007) - [j11]Amara Venkata Subba Rao, Dilip Kumar Pratihar:
Fuzzy logic-based expert system to predict the results of finite element analysis. Knowl. Based Syst. 20(1): 37-50 (2007) - [p1]Dilip Kumar Pratihar, Nirmal Baran Hui:
Evolution of Fuzzy Controllers and Applications. Advances in Evolutionary Computing for System Design 2007: 47-69 - 2006
- [j10]Nirmal Baran Hui, V. Mahendar, Dilip Kumar Pratihar:
Time-optimal, collision-free navigation of a car-like mobile robot using neuro-fuzzy approaches. Fuzzy Sets Syst. 157(16): 2171-2204 (2006) - [j9]Parikshit Dutta, Dilip Kumar Pratihar:
Some studies on mapping methods. Int. J. Bus. Intell. Data Min. 1(3): 347-370 (2006) - 2005
- [j8]Nirmal Baran Hui, Dilip Kumar Pratihar:
Automatic design of fuzzy logic controller using a genetic algorithm for collision-free, time-optimal navigation of a car-like robot. Int. J. Hybrid Intell. Syst. 2(3): 161-187 (2005) - [j7]Rahul Kumar Jha, Balvinder Singh, Dilip Kumar Pratihar:
On-line stable gait generation of a two-legged robot using a genetic-fuzzy system. Robotics Auton. Syst. 53(1): 15-35 (2005) - [c5]Nirmal Baran Hui, Dilip Kumar Pratihar:
Some Studies on Camera Calibration and Image Processing for Mobile Robot Navigation. IICAI 2005: 384-396 - [c4]Nirmal Baran Hui, Subhagata Chattopadhyay, Dilip Kumar Pratihar, Sanjib Chandra De Sarkar:
Design and Development of Fuzzy Logic Controllers. IICAI 2005: 2146-2162 - 2004
- [j6]Arup Kumar Nandi, Dilip Kumar Pratihar:
Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding. Fuzzy Sets Syst. 148(3): 487-504 (2004) - [j5]Arup Kumar Nandi, Dilip Kumar Pratihar, Mihir Kumar Banerjee:
Prediction of grinding power and surface finish - a GA-fuzzy approach. Integr. Comput. Aided Eng. 11(4): 373-382 (2004) - [j4]Anish Roychowdhury, Dilip Kumar Pratihar, Nilav Bose, K. P. Sankaranarayanan, N. Sudhahar:
Diagnosis of the diseases--using a GA-fuzzy approach. Inf. Sci. 162(2): 105-120 (2004) - 2002
- [j3]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach. Robotics Auton. Syst. 41(1): 1-20 (2002) - 2001
- [c3]Dilip Kumar Pratihar, Wolfgang Bibel:
Path Planning for Cooperating Robots Using a GA-Fuzzy Approach. Advances in Plan-Based Control of Robotic Agents 2001: 193-210 - 2000
- [j2]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Optimal turning gait of a six-legged robot using a GA-fuzzy approach. Artif. Intell. Eng. Des. Anal. Manuf. 14(3): 207-219 (2000)
1990 – 1999
- 1999
- [j1]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
A genetic-fuzzy approach for mobile robot navigation among moving obstacles. Int. J. Approx. Reason. 20(2): 145-172 (1999) - [c2]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Fuzzy-genetic algorithms and mobile robot navigation among static obstacles. CEC 1999: 327-334 - 1998
- [c1]Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh:
Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. PPSN 1998: 583-592
Coauthor Index
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