UoB logo

 

University of Birmingham

Department of Mechanical Engineering

Rustam stolkin, MEng. PhD. Oxon.

Senior Birmingham Fellow

..............

 

Patents

[2] “A computer vision algorithm for real-time tracking of the positions of non-rigid objects in successive images of a video sequence under conditions where the background scene may be changing.”. USPTO. Awarded, 2013.

[1] “Polymorphic tracked vehicle.” USPTO. Awarded, 2012.

Journal papers

2016

[34]. C. Zito, V. Ortenzi, M. Adjigble, M. Kopicki, R. Stolkin, J. Wyatt. “Active Touch for Dexterous Grasp Planning”. Autonomous Robots, in review.

[33]. R. Shang, B. Du, H. Ma, L Jiao and R. Stolkin. “Immune Clonal Algorithm Based on Directed Evolution for Multi-Objective Capacitated Arc Routing Problem”, Applied Soft Computing, in review.

[32]. V. Ortenzi, R. Stolkin, M. Mistry. “Hybrid Motion/Force Control: an Essential Review”, in review.

[31]. J. Xiao, R. Stolkin, A. Leonardis. “Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models”, IEEE Trans. Pattern Analysis and Machine Intelligence, in review.

[30]. M. Ma, N. Marturi,R. Stolkin, A. Leonardis. "A coupled-layer DS puppet model for online human pose estimation and tracking". Computer Vision and Image Understanding, in review.

[29]. R. Shang, F. Li, L. Jiao, R. Stolkin. “Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels”. in review.

[28]. M. Kopicki, S. Zurek, R. Stolkin, T. Morwald, J. Wyatt. “Learning forwards models for the motion of manipulated objects”. Autonomous Robots, Springer, in review.

[27]. Y. Li, L. Jiao,R. Stolkin. “Single Image Super-Resolution Reconstruction Based on Genetic Algorithm and Regularization Prior Model”. IEEE Trans. Image Processing, in review.

[26]. R. Shang, H. Ma, L. Jiao, D. Liua and R. Stolkin. “Improved Cooperative Co-evolution with Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems”. Information Sciences, in review.

[25]. R. Shang, S. Luoa, W. Zhang, R. Stolkin, L. Jiao. “A Multiobjective Evolutionary Algorithm to Find Community Structures Based on Affinity Propagation”. Physica A: Statistical Mechanics and its Applications, 2016.

[24]. R. Shang, P. Tian, L. Jiao, R. Stolkin, J. Feng, B. Hou and X. Zhang. “A Spatial Fuzzy Clustering Algorithm with Kernel Metric Based on Immune Clone for SAR Image Segmentation”. IEEE JSTAR - Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016.

[23]. J. Xiao, R. Stolkin, M. Oussalah, A. Leonardis. “Continuously adaptive data fusion and model re-learning for particle filter tracking with multiple features”. IEEE Sensors Journal, 2016.

2015

[22]. M. Kopicki, R. Detry, M. Adjigble, R. Stolkin, A. Leonardis, J. L. Wyatt. “One-shot learning and generation of dexterous grasps for novel objects”. International Journal of Robotics Research, 2015.

[21]. R. Shang, L. Shuang, Y. Li, L. Jiao, R. Stolkin. "Large-scale community detection based on node membership grade and sub-communities integration." Physica A: Statistical Mechanics and its Applications.428: 279-294, 2015.

[20]. R. Shang, K. Dai, L. Jiao and R. Stolkin. “Improved memetic algorithm based on route distance grouping for Multi-objective Large Scale Capacitated Arc Routing Problems”. IEEE Transactions on Cybernetics, 2015.

[19]. L. Hotaling, R. Stolkin. “Sensing the environment: student-created water quality sensors”. Journal of the Marine Technology Society, 2015.

[18]. Y. Li, L. Jiao, R. Shang, R. Xiang, R. Stolkin. “Dynamic-Context Cooperative Quantum-Behaved Particle Swarm Optimization Based on Multilevel Thresholding Applied to Medical Image Segmentation”. Journal of Information Sciences, 2015.

[17]. B. Chen, S. Wang, L. Jiao, R. Stolkin, S. Zjang, S. Mao. “A Three-component Fisher-based Feature Weighting Method For Supervised PolSAR Image Classification”. IEEE Geoscience and Remote Sensing Letters, 2015.

[16]. R. Shang, J. Wang, L. Jiao, R. Stolkin, Y. Wang. “Immune Clonal Selection Algorithm for Capacitated Arc Routing Problem”, Soft Computing, Springer, 2015.

[15]. Y. Li, M. Gong, L. Jiao, L. Li, R. Stolkin, “Change-detection Map Learning using Matching Pursuit”, IEEE Transactions on Geoscience and Remote Sensing, 2015.

2014

[14]. R. Shang, L. Qi, L. Jiao, R. Stolkin, Y. Lia. “Change detection in SAR images by artificial immune multi-objective clustering”. Engineering Applications of Artificial Intelligence, 2014.

[13]. M. Talha, R. Stolkin. “Particle filter tracking of camouflaged targets by adaptive fusion of thermal and visible spectra camera data”, IEEE Sensors Journal, 2014.

2013

[12]. L. Li, X. Yao, R. Stolkin, M. Gong, S. He. "An Evolutionary Multi-objective Approach to Sparse Reconstruction". IEEE Transactions on Evolutionary Computation, 2013.

[11]. L. Li, R. Stolkin, L. Jiao. “A compressed sensing approach for efficient ensemble learning”. Pattern Recognition, 2013.

[10]. L.C. Jiao, L. Li, R.H. Shang and F. Liu, R. Stolkin. “A novel selection evolutionary strategy for constrained optimization”. Journal of Information Sciences, Elsevier, 2013.

2012

[9]. P. Rogowski, R. Stolkin, M. Bruno. “Optimization of the spatial distribution of oceanographic sensors in a highly variable estuarine environment”. Journal of Marine Environmental Engineering,2012.

[8]. L. Hotaling, R. Stolkin, S. Lowes. "Teaching high-school science through the design, construction and deployment of environmental sensors", Advances in Engineering Education, Journal of the ASEE, Special Issue on K-12 Engineering Education and Outreach, 2012.

2009

[7]. D. Bozdog, I. Florescu, R. Stolkin. “Single click image segmentation using mean shift”. Journal of the Applied Vision Association , vol. 38, pp. 625-626, 2009.

[6]. D. Bozdog, I. Florescu, R. Stolkin. “Optimal parameter selection for mean shift type segmentation algorithms”.Journal of the Applied Vision Association, vol. 38, pp. 626, 2009.

2008

[5]. R. Stolkin, A. Greig, J. Gilby. “An EM / E-MRF algorithm for adaptive model based tracking in extremely poor visibility”. Journal of Image and Vision Computing, vol. 26(4), 2008.

[4]. R. Stolkin, I. Florescu. “Probability of detection and optimal sensor placement for threshold based detection systems”. IEEE Sensors Journal, vol. 9(1), 2008.

2007

[3]. R. Stolkin, L. Vickers, J. Nickerson. "Using Environmental Models to Optimize Sensor Placement". IEEE Sensors Journal, vol. 7(3), 2007.

[2]. R. Stolkin, "Review – The God Delusion by Richard Dawkins". Bookline Quarterly Journal,2007.

2006

[1]. R. Stolkin, A. Greig, J. Gilby. “A calibration system for measuring 3D ground truth for validation and error analysis of robot vision algorithms”. Journal of Measurement Science. vol. 17(10), 2006.

Peer reviewed conference proceedings papers

2016

[51]. A. M.Ghalamzan E., N. Mavrakis, M. Kopicki, A. Leonardis, R. Stolkin. “Task-relevant grasp selection: a joint solution to planning grasps and manipulative motion trajectories”. IEEE IROS, 2016, in review.

[50]. V. Ortenzi, N. Marturi, R. Stolkin, J. Kuo, M. Mistry. “Vision-guided state estimation and control of robotic manipulators which lack proprioceptive sensors”.IEEE IROS, 2016, in review.

[49]. M. Chiou, R. Stolkin, G. Bieksaite, N. Hawes, K. Shapiro, T. Harrison. “Experimental Analysis of a Variable Autonomy Framework for Controlling a Remotely Operating Mobile Robot”. IEEE IROS, 2016, in review.

2015

[48]. N. Marturi, V. Ortenzi, J. Xiao, M. Adjigble, R. Stolkin, A. Leonardis. "A real-time tracking and optimised gaze control for a redundant humanoid robot head." IEEE-RAS 15th International Conference on Humanoid Robots, 2015.

[47]. J. Xiao, R. Stolkin, A. Leonardis. “Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models”. IEEE CVPR, 2015.

[46]. V. Ortenzi, R. Stolkin, J. Kuo, M. Mistry. “Projected Inverse Dynamics Control and Optimal Control for Robots in Contact with the Environment: A Comparison”. IEEE IROS, 2015.

[45]. M. Chiou, R. Stolkin, N. Hawes. “Towards the Principled Study of Variable Autonomy”. IEEE Conf. Systems Man and Cybernetics, 2015.

2014

[44]. V. Ortenzi, M. Adjigble, J. Kuo, R. Stolkin , M. Mistry. “An experimental study of robot control during environmental contacts based on projected operational space dynamics”. IEEE-RAS Humanoids , 2014.

[43]. J. Xiao, R. Stolkin, A. Leonardis. “Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models”. BMVC , 2014.

[42]. M. Kopicki, R. Detry, C. Zito, R. Stolkin, J. Wyatt. “Learning grasps that generalise to novel objects by combining hand and contact models”, IEEE ICRA, 2014.

2013

[41]. J. Xiao, R. Stolkin and A. Leonardis, "An enhanced adaptive coupled-layer LGTracker ++", ICCV Workshop.Sydney, Australia, 1-8 December, 2013

[40]. L. Hotaling, S. Lowes, R. Stolkin, P. Lin, J. Bonner. “Student-created water quality sensors ”. American Society for Engineering Education, Annual Conference, 2013.

[39]. L. Hotaling, R. Stolkin, S. Lowes, P. Lin, J. Bonner, W. Kirkey, T. Ojo. “SENSEIT - student-created water quality sensors ”. IEEE Marine Technology Society OCEANS, 2013.

[38]. C. Zito, R. Stolkin, M. Kopicki, J. Wyatt. “Sequential trajectory re-planning with tactile information gain for dextrous grasping under object-pose uncertainty ”, IEEE IROS, 2013.

[37]. M. Kristan et al. “The Visual Object Tracking VOT2013 challenge results ”. ICCV - IEEE Workshop on the VOT2013 Visual Object Tracking Challenge, 2013.

2012

[36]. C. Zito, R. Stolkin, M. Kopicki, J. Wyatt. “Two-level RRT planning for robotic push manipulation ”. International Conference on Intelligent Robots and Systems, 2012.

[35]. J W Baxter, J Hargreaves, N A Hawes and R.Stolkin . “Controlling Anytime Scheduling of Observation Tasks ”, International Conference on Artificial Intelligence (British Computer Society Special Group on AI), 2012.

[34]. R. Stolkin, M. Talha, D. Rees, I. Florescu, “Bayesian fusion of thermal and visible spectra camera data for region based tracking with rapid background adaptation ”, IEEE International Conference on Multisensor Fusion and Information Integration, 2012. Best paper prize nomination.

[33]. M. Talha, R. Stolkin, “Adaptive fusion of data from infra-red and visible spectra cameras for particle filter tracking of moving targets”,IEEE Sensors, 2012.

[32]. R. Stolkin, M. Talha, D. Rees, I. Florescu, “Bayesian fusion of thermal and visible spectra camera data for mean shift tracking with rapid background adaptation”, IEEE Sensors, 2012

2011

[31]. D. Duff, T. Morwald, R. Stolkin, J. Wyatt. “Physical simulation for monocular 3D model based tracking ”. International Conference on Robotics and Automation, 2011.

[30]. T. Morwald, M. Kopicki, R. Stolkin, J. Wyatt, S. Zurek, M. Zillich, M. Vincze. “Predicting the unobservable: 3D tracking taking advantage of probabilistic prediction ”. International Conference on Robotics and Automation, 2011.

[29]. M. Kopicki, S. Zurek, R. Stolkin, T. Morwald, J. Wyatt. “Learning to predict how rigid objects behave under simple manipulation ”. International Conference on Robotics and Automation, 2011.

[28]. L. Hotaling, R. Stolkin, S. Lowes, P. Lin. “Student created water quality sensors ”. American Society for Engineering Education, annual conference, 2011.

2010

[27]. D. Duff, R. Stolkin, J. Wyatt. “Motion estimation using physical simulation ”. Proc. International Conference on Robotics and Automation, 2010.

[26]. M. Kopicki, R. Stolkin, S. Zurek, T. Morwald, J. Wyatt. “Predicting workpiece motions under pushing manipulations using the principle of minimum energy ”. Robotics: Science and Systems conference Workshop, 2010.

[25]. L. Hotaling, R. Stolkin, W. Kirkey, J. Bonner, S. Lowes, T. Ojo, P. Chen. “Student enabled water quality sensor ”. Proc. IEEE Marine Technology Society OCEANS, 2010.

2009

[24]. M. Kopicki, J. Wyatt, R. Stolkin. “Prediction learning in robotic pushing manipulation ”. International Conference on Advanced Robotics, 2009.

[23]. L. Hotaling, R. Stolkin, W. Kirkey, J. Bonner, S. Lowes, T. Ojo, P. Chen. “SENSE IT — Student enabled network of sensors for the environment using innovative technology ”. Proc. IEEE MTS OCEANS, 2009.

2008

[22]. R. Stolkin, I. Florescu, M. Baron, C. Harrier. “Efficient visual servoing with the ABCshift tracking algorithm ”.Proc. IEEE International Conference on Robotics and Automation , 2008.

[21]. L. Hotaling, R. Stolkin, J. Bonner, W. Kirkey. “Sense the Hudson – Student developed environmental sensors classroom project ”. Proc. IEEE Marine Technology Society OCEANS, 2008

[20]. McGrath, Lowes, Lin, Sayers, Hotaling, Stolkin, “Building middle and high school students’ understanding of engineering, science and IT through underwater robotics”, Proc. American Society for Engineering Education, Annual Conference, 2008.

2007

[19]. R. Stolkin, I. Florescu, G. Kamberov. “An adaptive background model for CAMSHIFT tracking with a moving camera ”. Proc. International Conference on Advances in Pattern Recognition, 2007.

[18]. R. Stolkin, M. Hodgetts, A. Greig, J. Gilby. “Extended-Markov Random Fields for Predictive Image Segmentation”. Proc. International Conference on Advances in Pattern Recognition, 2007.

[17]. R. Stolkin, L. Hotaling, R. Sheryll, C. Chassapis, B. McGrath, K. Sheppard. “A paradigm for vertically integrated curriculum innovation – how curricula were developed for undergraduate, middle and high school students using underwater robotics ”. International Conference on Engineering Education, 2007.

[16]. R. Stolkin, R. Sheryll, L. Hotaling. “Braitenbergian experiments with simple aquatic robots ”, Proc. IEEE MTS OCEANS, 2007.

[15]. R. Stolkin, I. Florescu. “Probabilistic analysis of a passive acoustic diver detection system for optimal sensor placement and extensions to localization and tracking ”, Proc. IEEE MTS OCEANS, 2007.

[14]. R. Stolkin, S. Radhakrishnan, A. Sutin, R. Rountree. “Passive acoustic detection of modulated underwater sounds from biological and anthropogenic sources ”, Proc. IEEE MTS OCEANS, 2007.

[13]. M. Raftery, R. Stolkin. “Ocean Surface Wave Energy Harnessing Development at Stevens Institute of Technology ”, Proc. IEEE MTS OCEANS, 2007.

[12]. P. Rogowski, R. Stolkin. “A technique for optimizing the placement of oceanographic sensors with example case studies for the New York Harbor region ”, Proc. IEEE MTS OCEANS, 2007.

[11]. D. Kruger, R. Stolkin, A. Blum, J. Briganti. “Optimal AUV path planning for extended missions in complex, fast-flowing estuarine environments ”. Proc. IEEE International Conference on Robotics and Automation, 2007.

2006

[10]. R. Stolkin, L. Hotaling, R. Sheryll. “A simple ROV project for the engineering classroom ”. Proc. IEEE / Marine Technology Society OCEANS conference, 2006.

[9]. R. Stolkin et al. “Feature based passive acoustic detection of underwater threats ”. Proc. SPIE Defense and Security Symposium, 2006.

[8]. L. Hotaling, R. Stolkin, R. Sheryll. “Discovery based learning in the engineering classroom using underwater robotics”. Proceedings of the American Society for Engineering Education Annual Conference. Chicago, 2006. Nominated for best paper award.

[7]. L. Vickers, R. Stolkin, J. Nickerson. “Computational Environmental Models Aid Sensor Placement Optimization for Detecting Underwater Threats ”. Proc. IEEE Military Communications Conference, workshop on Situation Management, 2006.

[6]. L. Hotaling, R. Sheryll, R. Stolkin. “Discovery based learning in the engineering classroom using underwater robotics”. Proc. ASEE Northeast Regional Conference, 2006.

2005

[5]. R. Stolkin, A. Greig, J. Gilby. “Measuring complete ground-truth data and error estimates for real video sequences, for performance evaluation of tracking, camera pose and motion estimation algorithms”. Proc. International Conference on Computer Vision, BenCOS workshop, 2005.

[4]. R. Stolkin, J. Nickerson. “Combining multiple autonomous mobile sensor behaviors using local clustering ”. Proc. IEEE Military Communications Conference, workshop on Situation Management, 2005.

[3]. R. Stolkin, L. Hotaling, R. Sheryll “Using underwater robotics in the engineering classroom”. Proc. ROBOLAB Conference. Austin, 2005.

[2]. R. Stolkin, A. Greig, J. Gilby. “Video with ground-truth for validation of visual registration, tracking and navigation algorithms”. Proc. IEEE Canadian Conference on Computer and Robot Vision, 2005.

2000

[1]. R. Stolkin, M. Hodegtts, A. Greig. “An EM / E-MRF Strategy for Underwater Navigation”, Proc. 11th British Machine Vision Conference, 2000.

Books and book chapters

[2]. G. Obinata, A Dutta, R. Stolkin, eds., “Scene Reconstruction, Pose Estimation and Tracking”, Advanced Robotic Systems International, 530 pages, 2007.

[1]. G. Obinata, A Dutta, R. Stolkin, eds., “Continuous Machine Learning in Computer Vision – Tracking with Adaptive Class Models”. Chapter in “Scene Reconstruction, Pose Estimation and Tracking”, Advanced Robotic Systems International, pp. 265-282, 2007.

Newspaper articles

[3]. R. Stolkin, “America, religion and Darwinism”. Review – The Creation, An Appeal to Save Life on Earth, by E.O. Wilson. Ananda Bazar Patrika, Nov. 2007.

[2]. R. Stolkin, “Patterns of an Artificial Mind”. Ananda Bazar Patrika (India’s oldest daily > 7million readers). History of Indian mathematics and modern AI. Extended feature article to coincide with International Conference on Advances in Pattern Recognition at Indian Statistical Institute, Calcutta, 24TH December, 2006.

[1]. R. Stolkin, “Genetic Engineering”. letter to the editor, Private Eye magazine,December 2005.

 
 
 

                                  Copyright © 2016