Biomedical engineering, Control theory, Artificial intelligence, Computer vision and Optical fiber are his primary areas of study. His Biomedical engineering research is multidisciplinary, incorporating elements of Invasive surgery, Indentation, Soft tissue and Contact force. His research links Haptic technology with Invasive surgery.
The study incorporates disciplines such as Kinematics and Fuzzy logic in addition to Control theory. Specifically, his work in Artificial intelligence is concerned with the study of Artificial neural network. His Computer vision research incorporates elements of Visualization, Focus and Process.
His primary scientific interests are in Control theory, Artificial intelligence, Robot, Computer vision and Simulation. His research in Control theory intersects with topics in Control engineering and Fuzzy logic. Within one scientific family, Lakmal Seneviratne focuses on topics pertaining to Kinematics under Robot, and may sometimes address concerns connected to Geometry, Rotation and Mechanism.
He is involved in the study of Simulation that focuses on Haptic technology in particular. His work carried out in the field of Haptic technology brings together such families of science as Invasive surgery, Sensitivity and Palpation. His biological study spans a wide range of topics, including Stiffness and Biomedical engineering.
Lakmal Seneviratne spends much of his time researching Control theory, Artificial intelligence, Robot, Haptic technology and Control engineering. His Control theory research integrates issues from Workspace and Kinematics. He interconnects Normal force and Computer vision in the investigation of issues within Artificial intelligence.
His research integrates issues of Torsion and Continuum in his study of Robot. His Haptic technology study integrates concerns from other disciplines, such as Situation awareness and Palpation. His Palpation research is multidisciplinary, incorporating elements of Invasive surgery, Magnetic resonance imaging and Biomedical engineering.
The scientist’s investigation covers issues in Control theory, Kinematics, Haptic technology, Stiffness and Artificial intelligence. His Control theory study combines topics in areas such as Workspace, Turbine and Control engineering. His Kinematics research includes elements of Jacobian matrix and determinant, Optimal design and Rotation.
The concepts of his Haptic technology study are interwoven with issues in Finite element method and Palpation. His research investigates the connection between Palpation and topics such as Actuator that intersect with problems in Sensitivity and Simulation. His work deals with themes such as Work, Normal force, Section and Computer vision, which intersect with Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
State-of-the-Art in Force and Tactile Sensing for Minimally Invasive Surgery
P. Puangmali;K. Althoefer;L.D. Seneviratne;D. Murphy.
IEEE Sensors Journal (2008)
Product Cost Estimation: Technique Classification and Methodology Review
Adnan Niazi;Jian S. Dai;Stavroula Balabani;Lakmal Seneviratne.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2006)
Stability Analysis of Interval Type-2 Fuzzy-Model-Based Control Systems
H.K. Lam;L.D. Seneviratne.
systems man and cybernetics (2008)
A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends
Guowei Cai;Jorge Dias;Jorge Dias;Lakmal Seneviratne;Lakmal Seneviratne.
Unmanned Systems (2014)
Miniature 3-Axis Distal Force Sensor for Minimally Invasive Surgical Palpation
P. Puangmali;Hongbin Liu;L. D. Seneviratne;P. Dasgupta.
IEEE-ASME Transactions on Mechatronics (2012)
State of the art in sensor technologies for sewer inspection
O. Duran;K. Althoefer;L.D. Seneviratne.
IEEE Sensors Journal (2002)
A three-term backpropagation algorithm
Yahya H. Zweiri;James F. Whidborne;Lakmal D. Seneviratne.
A review on the platform design, dynamic modeling and control of hybrid UAVs
Adnan S. Saeed;Ahmad Bani Younes;Shafiqul Islam;Jorge Dias.
international conference on unmanned aircraft systems (2015)
MRI-Compatible Fiber-Optic Force Sensors for Catheterization Procedures
Panagiotis Polygerinos;Dinusha Zbyszewski;Tobias Schaeffter;Reza Razavi.
IEEE Sensors Journal (2010)
Rolling Mechanical Imaging for Tissue Abnormality Localization During Minimally Invasive Surgery
Hongbin Liu;D.P. Noonan;B.J. Challacombe;P. Dasgupta.
IEEE Transactions on Biomedical Engineering (2010)
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