Mr Sanket Kachole
Contact
- Email: k1742163@kingston.ac.uk
- Location: Penrhyn Road
- Faculty: Faculty of Engineering, Computing and the Environment
- School: School of Computer Science and Mathematics, School of Engineering and the Environment
- Department: Department of Computer Science, Department of Mechanical Engineering
- Job market candidate
Research project: Neuromorphic Vision-Based Robotics Grasp and Trajectory Planning Using Machine Learning Techniques
Abstract
Gripping an object involves simultaneous actions of human body elements including Arm, Fingers, Palm orientation and Eyes. Skin receptors Acknowledges slippage and estimate the required force to hold firmly. Human Eyes helps to identify the obstacles within the paths and estimate obstacle-free path. In this project, Neuromorphic Vision based task specific grasping and trajectory generation methodology will be developed. The developed strategy will be investigated and evaluated using simulation or in-lab methodology.
- Research degree: PhD
- Title of project: Neuromorphic Vision-Based Robotics Grasp and Trajectory Planning Using Machine Learning Techniques
- Research supervisor: Professor Dimitrios Makris
- Other research supervisor: Professor Yahya Zweiri
Biography
I am a Ph.D. student at the School of Computer Science and Mathematics, Kingston University. I received my undergraduate in mechanical engineering from the Pune University in India and my Masters from Kingston University London. My research interests are in the area of Computer Vision, Machine Learning and in particular Robotics. I have being working on various research problems that involve event-series from neuromorphic vision sensors for robotic grasping, object tracking for environmental protection, learning scene semantic models.
Areas of research interest
- Computer Vision
- Robotics
- Machine Learning
- Neuromorphic Vision
- Spiking Neural Network
Qualifications
- BE in Mechanical Engineering, Pune University
- MSc in Advanced Industrial Engineering, Kingston University
Funding or awards received
- Faculty Research Student Conference and Training Fund
- Distinguished Research Achievement and Funding Award
- Best Paper Award, CVPR-W, Vancouver, Canada
- Best Oral Presentation Award, ECE Conference, Kingston University, London
Publications
S. Kachole, G. Hunter, O. Duran, "A Computer Vision Approach to Monitoring the Activity and Well-Being of Honeybees," in Intelligent Environments, 2020.
S. Kachole, M. Manish, B. Anurag, "3 Dimensional Welding SPM / Path Tracker," in International Journal Of Design And Manufacturing Technology, 2016
X Huang, K Sanket, A Ayyad, FB Naeini, D Makris, Y Zweiri, "A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment," in arXiv, 2023
FB Naeini, S Kachole, R Muthusamy, D Makris, Y Zweiri, "Event augmentation for contact force measurements," in IEEE Access, 2022
Jump to: Article | Conference or Workshop Item
Number of items: 3.
Article
Baghaei Naeini, Fariborz, Kachole, Sanket, Muthusamy, Rajkumar, Makris, Dimitrios and Zweiri, Yahya (2022) Event augmentation for contact force measurements. IEEE Access, 10, pp. 123651-123660. ISSN (online) 2169-3536
Conference or Workshop Item
Kachole, Sanket, Alkendi, Yusra, Baghaei Naeini, Fariborz, Makris, Dimitrios and Zweiri, Yahya (2023) Asynchronous events-based panoptic segmentation using graph mixer neural network. In: 4th International Workshop on Event-Based Vision; 19 Jun 2023, Vancouver, Canada. (In Press)
Kachole, Sanket, Hunter, Gordon and Duran, Olga (2020) A computer vision approach to monitoring the activity and well-being of honeybees. In: IE 2020 : 16th International Conference on Intelligent Environments; 20 - 23 Jul 2020, Online.
Conference papers
S. Kachole, Y. Alkendi, FB Naeini, D. Makris, Y. Zweiri, Asynchronous Event Based Graph Mixer Neural Network For Panoptic Segmentation, Computer Vision and Pattern Recognition (CVPR) workshop on Event Based Vision, 2023