Outputs (24)

Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. (2023)
Journal Article
AHMMED, S., PODDER, P., MONDAL, M.R.H., RAHMAN, S.M.A., KANNAN, S., HASAN, M.J., ROHAN, A. and PROSVIRIN, A.E. 2023. Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. Biomedinformatics [online], 3(4), pages 1124-1144. Available from: https://doi.org/10.3390/biomedinformatics3040068

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,... Read More about Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis..

Vision based relative position estimation in surgical robotics. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Vision based relative position estimation in surgical robotics. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275973. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275973

Teleoperation-based Robotic-Assisted Minimally In-vasive Surgery (RAMIS) has gained immense popularity in medical field. However, limited physical interaction between the surgeon and patient poses a significant challenge. In RAMIS, the surgeon operat... Read More about Vision based relative position estimation in surgical robotics..

Detecting and tracking the position of suspicious objects using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y. and BHOWMICK, P. 2023. Detecting and tracking the position of suspicious objects using vision system. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: 2023 proceedings of the SPIE (International Society of Optics and photonics) Security and defence conference, 4-5 September 2023, Amsterdam, Netherlands. Proceedings of the SPIE, 12742. Bellingham, WA: SPIE [online], article ID 127420C. Available from: https://doi.org/10.1117/12.2679801

Vision-based object tracking is crucial for both civil and military applications. A range of hazards to cyber safety, vital infrastructure, and public privacy are posed by the rise of drones, or unmanned aerial vehicles (UAV). As a result, identifyin... Read More about Detecting and tracking the position of suspicious objects using vision system..

Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275983. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275983

A da Vinci robot endoscopic-camera gives surgeons a magnified 2D view of the operating area, but additional time is required to detect and estimate the location of the surgical-instrument during an operation. The main focus and novelty of this resear... Read More about Tracking and estimation of surgical instrument position and angle in surgical robot using vision system..

Tracking and estimation of surgical tool pose based on the vision system for surgical robot. (2023)
Presentation / Conference
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2023. Tracking and estimation of surgical tool pose based on the vision system for surgical robot. Presented at the 2nd MDMC (Medical device manufacturing centre) annual conference 2023, 31 May 2023, Dundee, UK.

The aim of this research is to customise a surgical robot. This research presents a Virtual Dynamic Tri-crossbar and a Virtual Stable Graph (VDT-VSG) which simplifies the task of tracing the needle angle and location.

A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. (2023)
Journal Article
BHADRA, S., PANDA, A., BHOWMICK, P. and KANNAN, S. 2023. A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. Journal of control and decision [online], Latest Articles. Available from: https://doi.org/10.1080/23307706.2023.2202183

This paper proposes a model-based reference tracking scheme for stable, MIMO, nonlinear processes. A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via simultaneous estimation of the... Read More about A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter..

Model predictive control of connected spacecraft formation. (2022)
Journal Article
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054

In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected n... Read More about Model predictive control of connected spacecraft formation..

Adaptive control for a lightweight robotic arm actuated by a shape memory allow wire. (2018)
Conference Proceeding
QUINTANAR-GUZMÁN, S., KANNAN, S., VOOS, H., DAROUACH, M. and ALMA, M. 2018. Adaptive control for a lightweight robotic arm actuated by a shape memory allow wire. In Borgmann, H. (ed.) Proceedings of the 16th International conference on new actuators 2018 (ACTUATOR 2018), 25-27 June 2018, Bremen, Germany. Berlin: VDE Verlag, pages 388-393. Hosted on IEEE [online]. Available from: https://ieeexplore.ieee.org/document/8470840

This paper presents the design, model and closed-loop control of a single degree-of-freedom (DOF) lightweight robotic arm actuated by a biased Shape Memory Alloy (SMA) wire. The highly non-linear dynamics of SMAs represent a challenge for control tas... Read More about Adaptive control for a lightweight robotic arm actuated by a shape memory allow wire..

Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control. (2018)
Journal Article
DENTLER, J., ROSALIE, M., DANOY, G., BOUVRY, P., KANNAN, S., OLIVARES-MENDEZ, M.A. and VOOS, H. 2019. Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control. Journal of intelligent and robotic systems [online], 93(1-2), pages 227-243. Available from: https://doi.org/10.1007/s10846-018-0822-8

The recent development of compact and economic small Unmanned Aerial Vehicles (UAVs) permits the development of new UAV swarm applications. In order to enhance the area coverage of such UAV swarms, a novel mobility model has been presented in previou... Read More about Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control..

Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots. (2018)
Journal Article
DENTLER, J., KANNAN, S., BEZZAOUCHA, S., OLIVARES-MENDEZ, M.A. and VOOS, H. 2019. Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots. Autonomous robots [online], 43(1), pages 153-178. Available from: https://doi.org/10.1007/s10514-018-9711-z

The global localization of multiple mobile robots can be achieved cost efficiently by localizing one robot globally and the others in relation to it using local sensor data. However, the drawback of this cooperative localization is the requirement of... Read More about Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots..