Peer-Reviewed Papers:
2024:
Chen, T., Sun, Y. (2024) Multi-Object Grasping -- Experience Forest for Robotic Finger Movement Strategies, RA-L/IROS, 1-8.
Sakid, M. S., Sun, Y. (2024). Consolidating Trees of Robotic Plans Generated Using Large Language Models to Improve Reliability, International Journal of Artificial Intelligence and Robotics Research (IJAIRR), pp. 1-15.
Sakib, MS and Sun, Y. (2024) From Cooking Recipes to Robot Task Trees – Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network, ICRA 1-8.
Hausmann, Jacqueline, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, and Dmitry Goldgof. "Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting." IEEE Access (2024).
2023:
Hossain, M. I., Zamzmi, G., Mouton, P. R., Salekin, M. S., Sun, Y., & Goldgof, D. (2023). Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions. ACM Computing Surveys.
Wang, Y., Zhou, M., Sun, Y., Qian, X., (2023) Uncertainty-aware Unsupervised Video Hashing, International Conference on Artificial Intelligence and Statistics (AISTATS), 1-12
Amelia Llerena, Krystal Tran, Danyal Choudhary,J acqueline Hausmann,Dmitry Goldgof, Yu Sun, Stephanie M. Prescott (2023) Neonatal Pain Assessment: Do We Have the Right Tools?, Frontiers in Pediatrics, 1-14.
Md Imran Hossain, Ghada Zamzmi, Peter Mouton, Yu Sun, Dmitry Goldgof, (2023) Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification, IEEE conference for computer-based medical systems (CBMS), 1-6.
2022:
Sakib, S., Paulius RD, Sun, Y. (2022) Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking, RA-L, 1-8. [
paper]
Liu, Z. Liu, W., Qin, Y.. Xiang, F. Xin, S., Roa, MA, Calli, B., Su, H., Sun, Y., Tan, P. (2022). OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation, IEEE Robotics and Automation Letters (RA-L), 7 (1), 486-493
Adheesh Shenoy, Tianze Chen, Yu Sun (2022) Multi-Object Grasping -- Efficient Robotic Picking and Transferring Policy for Batch Picking, IROS, 1-7.
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Peter Mouton, Kanwaljeet Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun (2022). Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 1-11.
Chen, Y., Paulius, D. Sun, Y., Jia, Y. (2022) Robot Learning of Assembly Tasks from Non-expert Demonstrations using Functional Object-Oriented Network, International Conference on Automation Science and Engineering (CASE), 1-8.
Sun, Y., Amatova, E., Chen. T., (2022). Multi-Object Grasping -- Types and Taxonomy, ICRA, 1-7. [
paper]
2021:
Sun, Y., Falco, J., Roa, MA., Calli, B. (2022). Research Challenges and Progress in Robotic Grasping and Manipulation Competitions, IEEE Robotics and Automation Letters (RA-L), 7 (2), 874-881.
Chen, Tianze, Adheesh Shenoy, Anzhelika Kolinko, Syed Mutahar Shah, Sun, Y. (2021). Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Grasp, IROS, pp 1-7.
Williams, Troi and Sun, Y. (2021). Learning State-Dependent Sensor Measurement Models with Limited Sensor Measurements, IROS, pp. 1-7
Paulius, David Andres, Dong, Kelvin Sheng Pei, Sun, Y. (2021). Task Planning with a Weighted Functional Object-Oriented Network, ICRA, 1-7.
Paulius, David, Agostini, Alejandro, Sun, Y., Lee, Dongheui (2021). A Road-Map to Robot Task Execution with the Functional Object-Oriented Network, UR, pp 1-4.
Sakib, Md Sadman, Baez, Hailey, Paulius, David, Sun, Y. (2021). Evaluating Recipes Generated from Functional Object-Oriented Network, UR, pp 1-4.
Sribhashyam, S., Salekin,M.S., Goldgof, D., Zamzmi, G., Sun, Y. (2021). Pattern Recognition in Vital Signs using Spectrograms, IEEE International Conference on Systems, Man, and Cybernetics (SMC) pp. 1-6.
Salekin, M.S., Zamzmi, G., Hausmann, J., Goldgof, D., Kasturi, R., Kneusel, M., Ashmeade, T., Ho, T. and Sun, Y. (2021), Multimodal Neonatal Procedural and Postoperative Pain Assessment Dataset, Data in Brief, p.106796.
[
paper]
Huang, Y., J. Wilches, and Yu Sun (2021), Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization, Robotics and Autonomous Systems, pp 1-18.
[
paper]
[
arXiv]
Salekin, M.S., Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun (2021), Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment, Computers in Biology and Medicine, p. 104150.
[
paper]
[
arXiv]
2020:
[94] Maxat Alibayev, David Andrea Paulius, Yu Sun (2020) Developing Motion Code Embedding for Action Recognition in Videos, 25th International Conference on Pattern Recognition (ICPR), 1-8.
[93] Wilches, J. Huang, Y., Sun, Y. (2020) Generalizing Learned Manipulation Skills in Practice, IROS, 1-8.
[
video]
[92] Alibayev, M., Paulius, D.A., Sun, Y. (2020) Estimating Motion Codes from Demonstration Videos, IROS, 1-7.
[
video]
[91] Paulius, D., Eales, N. & Sun, Y. (2020) A Motion Taxonomy for Manipulation Embedding, In Robotics: Science and Systems (RSS).
[
paper]
[
video]
[90] Kenneth Kimble, K., Karl Van Wyk, Joe Falco, Elena Messina, Yu Sun, Mizuho Shibata, Wataru Uemura, Yasuyoshi Yokokohji (2020) Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems, IEEE Robotics and Automation Letters (RA-L), 1-7.
[89] Salekin, M. S., Zamzmi, G., Goldgof, D., Kasturi, R., Ho, T., Sun, Y. (2020) A First Investigation Into the Use of Deep Learning for Standardized and Continuous Assessment of Neonatal Post-Operative Pain, 15th IEEE International Conference on Automatic Face and Gesture (FG), pp. 1-5. [
paper]
2019:
[88] Salekin, M. S., Zamzmi, R. Paul, G., Goldgof, D., Kasturi, R., Ho, T., Sun, Y. (2019) Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound, IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT), 1-4. [
paper]
[87] Salekin, M. S., Zamzmi, G., Goldgof, D., Kasturi, R., Ho, T., Sun, Y. (2019) Multi-channel Neural Network for Assessing Neonatal Pain from Videos, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1-6. [
paper]
[86] Zamzmi, Goldgof, D., Kasturi, R., Sun, Y. (2019) A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision, IEEE Transactions on Affective Computing, pp 1-12.
[85] Paulius, D., Huang, Y., Melancon, J., Sun, Y. (2019) Manipulation Motion Analysis \& Taxonomy in Cooking, IROS, 1-7.
[84] Williams, T. and Sun, Y. (2019) Learning State-Dependent Sensor Measurement Models for Localization, IROS, 1-8.
[83] Chen, T., Huang, Y., Sun, Y. (2019) Accurate Pouring using Model Predictive Control Enabled by Recurrent Neural Network, IROS, 1-8. (Accepted)
[82] Yongqiang Huang and Yu Sun (2019) Accurate Robotic Pouring for Serving Drinks, 28th International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Artificial Intelligence and Food, 1-3.
[81] Ahmad Babaeian Jelodar and Yu Sun (2019) Identifying Object States in Cooking-Related Images, 28th International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Artificial Intelligence and Food, 1-3.
[80] Ahmad Babaeian Jelodar and Yu Sun (2019) Video Understanding for Cooking Activities using Knowledge Representation, 28th International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Artificial Intelligence and Food, 1-3.
[79] David A. Paulius and Yu Sun (2019) Cooking Preparation Knowledge using the Functional Object-Oriented Network, 28th International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Artificial Intelligence and Food, 1-4.
[
pdf]
[78] Jelodar, A. B., Sun, Y. (2019), Joint Object and State Recognition using Language Knowledge, ICIP. [
pdf]
[77] Zamzmi, G., Paul, R., Goldgof, D., Kasturi, R., Ashmeade, T., Sun, Y. (2019), Automatic Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN), IJCNN (Accepted).
[76] Zamzmi, G., Paul, R., Salekin, M.S., Goldgof, D., Kasturi, R., Ho, T., Sun, Y. (2019), Convolutional Neural Network for Neonatal Pain Assessment, IEEE Transactions on Biometrics, Behavior, and Identity Science. [
paper]
[75] Paulius, D. and Sun, Y. (2019), A survey of knowledge representation in service robotics, Robotics and Autonomous Systems, 118, 13-30. [
paper] [
pdf]
[74] Huang, Y. and Sun, Y. (2019), A Dataset of Daily Interactive Manipulation, International Journal of Robotics
Research. [
paper] [
pdf]
[73] Babaeian, J.A., Paulius, D. and Sun, Y. (2019) Long Activity Video Understanding using Functional Object-Oriented Network, IEEE Transactions on Multimedia, 21(7): 1813-1824. [
paper] [
pdf]
2018:
[72] Zhi, R., Ghada Zamzmi, Dmitry Goldgof, Terri Ashmeade, Sun, Y. (2018). Automatic Infants’ Pain Assessment by Dynamic Facial Representation: Effects of Profile View, Gestational Age, Gender, and Race, Journal of clinical medicine, 7(7), 173 1-16.
[71] Ruicong Zhi, Dmitry Goldgof, Terri Ashmeade, Tingting Li, Yu Sun (2018), Infants' Pain Recognition based on Facial Expression: Dynamic Hybrid Descriptions, IEICE Transactions on Information and Systems. [
paper]
[70] Paulius, D., Jelodar, A. B., Sun, Y. (2018), Functional Object-Oriented Network: Construction \& Expansion, ICRA. [
paper]
[69] Zamzmi, G, Kasturi, R, Goldgof, D, Zhi, R., Ashmeade, T., and Sun, Y (2018), A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases, IEEE Reviews in Biomedical Engineering. [
paper]
[68] Zamzmi, G., Goldgof, D., Kasturi, R., and Sun, Y. (2018) .Toward Ubiquitous Assessment of Neonates' Health Condition, ACM Conference on Pervasive and Ubiquitous Computing (UbiComp 2018), 952-955.
2017:
[67] Ghada Zamzmi, Chih-Yun Pai, Dmitry Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade (2017), Automated Pain Assessment in Neonates, Scandinavian Conference on Image Analysis. [
paper]
[66] Huang, Y. and Sun, Y. (2017). Learning to Pour, IROS. [
paper] [
pdf]
2016:
[65] Yongqiang Huang, Matteo Bianchi, Minas Liarokapis and Yu Sun (2016) Recent Datasets on Object Manipulation: a Survey, Big Data (Special issue: Big Data in Robotics), 1-17. (
pdf)
[64] Matteo Bianchi and Jeannette Bohg and Yu Sun (2016)
Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets, arXiv., pp 1-15
[63] Huang, YQ, Sun, Y. (2016)
Datasets on object manipulation and interaction: a survey, arXiv, pp 1-8.
[62] Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Yu Sun, and Terri Ashmeade (2016)
Machine-based Multimodal Pain Assessment Tool for Infants: A Review, arXiv, pp 1-30.
[61] Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Terri Ashmeade, Chih-Yun Pai, Yu Sun (2016) An Approach for Automated Multimodal Analysis of Infants’ Pain, 1-6, 23rd International Conference on Pattern Recognition (ICPR)
[60] Sun, Y., Yun Lin, and Yongqiang Huang (2016) Robotic Grasping for Instrument Manipulations, URAI, 1-3 (Invited) (
pdf)
[59] Paulius, D. Huang, Y., Milton, R., Buchanan, W.D., Sam J., and Sun, Y. (2016) Functional Object-Oriented Network for Manipulation Learning, IROS, 3655-3662. (
pdf)
[58] Lin, Y. and Sun, Y., 2016. Task-oriented grasp planning based on disturbance distribution. In Robotics Research (pp. 577-592). Springer International Publishing. (
pdf)
[57] Lin, B., Sun, Y., Qian, X., Goldgof, D., Gitlin, R., You, Y., (2016)
Video Based 3D Reconstruction, Laparoscope, Localization, and Deformation Recovery for Abdominal Minimally Invasive Surgery: A Survey,
International Journal of Medical Robotics and Computer Assisted Surgery, 12(2): 158-78. (
pdf)
2015:
[56] Huang, Y. and Sun, Y. (2015) Generating Manipulation Trajectories Using Motion Harmonics, IROS, 4949-4954. (
pdf)
[55] Lin, Y. and Sun, Y. (2015) Task-Based Grasp Quality Measures for Grasp Synthesis, IROS, 485-490. (
pdf)
[54] Alzamzmi, G., Goldgof, D., Kasturi, R., Sun, Y., Asmeade T. and Ruiz, G. (2015) Pain Assessment in Infants: Towards Spotting the Pain Expression Based on the Facial Strain, 3rd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space, pp 1-4.
[53] Lin, Y. and Sun, Y., (2015) Grasp Planning to Maximize Task Coverage, Intl. Journal of Robotics Research, 34(9): 1195-1210. (
pdf)
[52] Lin, B., Sun, Y., Sanchez, J., and Qian, X. (2015) Efficient Vessel Feature Detection for Endoscopic Image Analysis, IEEE Transactions on Biomedical Engineering,
62(4): 1141-1150. (
pdf)
[51] Lin, Y., and Sun, Y. (2015) Robot Grasp Planning Based on Demonstrated Grasp Strategies, Intl. Journal of Robotics Research, 34(1): 26-42. (
pdf)
[50] Sun, Y., Behal, A., Chung, C.R. (editors),
New Development in Robot Vision, ISBN 978-3-662-43859-6, Springer, 2015
[49] Sun, Y., and Y. Lin. Modeling Paired Objects and Their Interaction." In New Development in Robot Vision, pp. 73-87. Springer Berlin Heidelberg, 2015. (
pdf)
2014:
[48] Cooke, C., Anderson, A. L., & Sun, Y. (2014) Instantaneous Frequency-division Multiplexing (IFDM): An Analog Multicarrier Approach to Wireless In Vivo Video, Proceedings of the International Conference on Biomedical Engineering and Systems
Prague, Czech Republic, pp 1-8. (
pdf)
[47] Lin, Y., Sun, Y. (2014) Grasp Planning Based on Grasp Strategy Extraction from Demonstration, IROS, pp. 4458-4463.
[46] Coovert, M., Lee, T., Shindev, I., Sun Y. (2014)
Spatial Augmented Reality as a Method for a Mobile Robot to Communicate Intended Movement,
Computers in Human Behavior, 34:241-248.
[45] Johnson, A. S., Sanchez, J., French, A., & Sun, Y. (2014) Unobtrusive Augmentation of Critical Hidden Structures in Laparoscopy, Medicine Meets Virtual Reality 21: NextMed/MMVR21, 185-191.
[44] Sun, Y., Ren, S., and Lin, Y. (2014) Object-Object Interaction Affordance Learning, Robotics and Autonomous Systems, 62(4), 487-496
(
pdf)
[43] Lin, B., Sun, Y., Sanchez, J., & Qian, X. (2014) Vesselness based feature extraction for endoscopic image analysis, IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1295-1298.
2013:
[42] Lin, Y., Sun, Y. (2013) Task-Oriented Grasp Planning Based on Disturbance Distribution, ISRR, pp 1-16, (accepted)
[41] Dai, W., Sun, Y., Qian, X., (2013) Functional Analysis of Grasping Motion, IROS, pp. 3507-3513.
[40] Lin, B., Johnson, A., Qian X., Sanchez, J., Sun, Y. (2013) Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery, MICCAI Workshop MIAR & AE-CAI, pp 1-8.
[39] Christine Bringes, Yun Lin, Yu Sun, Redwan Alqasemi (2013) Determining the Benefit of Human Input in Human-in-the-Loop Robotic Systems, IEEE ROMAN 2013, pp. 1-8.
[38] Lin B., Sun Y., Qian X., (2013) Dense Surface Reconstruction with Shadows in MIS, IEEE Transactions on Biomedical Engineering, pp. 1-10 (
pdf).
[37] Anderson, A., Lin, B., Sun Y., (2013) Virtually Transparent Epidermal Imagery (VTEI): On New Approaches To In Vivo Wireless High-Definition Video and Image Processing, IEEE Transactions on Biomedical Circuits and Systems, pp 1-10 (on line). (
pdf)
[36] Lin Y., Sun Y. (2013) Grasp Mapping Using Locality Preserving Projections and KNN Regression, IEEE Intl. Conference on Robotics and Automation, pp 1068-1073 (
pdf)
[35]
Johnson A., Sun Y. (2013) Spatial Augmented Reality on Person: Exploring the Most Personal Medium, HCI International 2013, pp 1-6 (accepted).
[34]
Lee T.T., Coovert M., Sun Y., Shindev I. (2013) Robots in the Workplace: Communication with Visual Projection,
Society for Industrial and Organizational Psychology 28th Annual Conference, Houston, TX, pp 1-6 (Accepted).
[33] A. Johnson, Sun Y. (2013) Exploration of Spatial Augmented Reality on Person, IEEE Virtual Reality, pp 1-2, Orlando, FL.
[32]
Castro C.A., Smith S., Alqassis A., Ketterl T., Sun Y., Ross S., Rosemurgy A., Savage P.P., and Gitlin, R.R., (2013) A Wireless Robot for Networked Laparoscopy, IEEE Transactions on Biomedical Engineering, pp 930-936. (
pdf)
[31] Alqassis A., Castro C., Ketterl T., Sun Y., Gitlin R., Smith S., and Savage P. (2013) Laparo-Endoscopic Single Site Surgery using MARVEL--- a Novel Wireless Robotic Video Platform, IEEE Workshop in Robot Vision (WoRV)/Winter Vision Meeting (WVM), pp. 1-6, (accepted).
[30] Ren S., Sun Y. (2013) Human-Object-Object-Interaction Affordance, IEEE Workshop in Robot Vision (WoRV)/Winter Vision Meeting (WVM), pp. 1-6, 2013 (
pdf).
[29] Lin B., Sun Y., Qian X., (2013) Thin Plate Spline Feature Point Matching for Organ Surfaces in Minimally Invasive Surgery Imaging, SPIE Medical Imaging, pp. 867112-8 (oral presentation) (
pdf)
2012:
[28] Alqassis A., Ketterl T., Castro C., Gitlin R., Ross S., Sun Y. and Rosemurgy A., (2012) MARVEL In Vivo Wireless Video System, Technology and Innovation, 14(3-4), pp. 329-340.
[27] Castro C.A., Smith S., Alqassis A., Ketterl T., Sun Y, Ross S., Rosemurgy A., Savage P.P., and Gitlin R.D., (2012) MARVEL: A Wireless Miniature Anchored Robotic Videoscope for Expedited Laparoscopy, IEEE Intl. Conference on Robotics and Automation, pp. 2926-2931. (
pdf)
[26] Pence W.G., Farelo F., Alqasemi R., Dubey R., and Sun Y. (2012) Visual Servoing Control of a 9-DoF WMRA to Perform ADL Tasks, IEEE Intl. Conference on Robotics and Automation, pp. 916-922. (
pdf)
[25] Lin Y., Ren S., Clevenger M., and Sun Y. (2012) Learning Grasping Force from Demonstration, IEEE Intl. Conference on Robotics and Automation, pp. 1526-1531. (
pdf)
[24] Shindev, I., Sun, Y., Coovert, M., Pavlova, J., Lee, T. (2012) Exploration of Intention Expression for Robots, HRI, pp. 1-2, Boston, MA, (
pdf).
2011:
[23] Grieve, T., Sun, Y., Hollerbach, J.M., and Mascaro, S.A. (2011)
Force prediction using fingernail imaging: an overview, Informatics
in Control, Automation, and Robotics, Lecture Notes in Electrical Engineering, Volume 89, Part 1, 37-48, J. Andrade Cetto,
J.-L. Ferrier and J. Filipe (eds), Springer.
(pdf)
[22] Sun Y. Anderson A, Castro C, Lin B, Gitlin R (2011) Virtually Transparent Epidermal Imagery for
Laparo-Endoscopic Single-Site Surgery, International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC'11), pp. 2107-2110, Boston, MA, USA, August 30 - September 3, 2011.
(
pdf)
[21] Pence W, Farelo F, Sun Y, Alqasemi R, and Dubey R (2011) Autonomous Mobility & Manipulation of a 9-DoF WMRA, RSS workshop on Mobile Manipulation, USC, 2011.
(pdf)
[20] Neninger C, Sun Y, Lee SH, and Chodil J (2011) A Complete Motion and Music Capture System to Study Hand Injuries among Musicians, Emergency Management & Robotics for Hazardous Environments, Knoxville, TN, Aug. 7-10, 2011, Accepted
(pdf)
[19] Lee SH, Sun Y, Chodil J, and Neninger C (2011) University of south florida neuroscience collaborative research: robotics modeling of skilled hand tasks, PAMA, July 23-27 2011, Accepted
[18] Mashali M, Alqasemi R, Sun Y, and Dubey R (2011) A Virtual Reality Model of Autonomous Wheelchair Navigation in an Unstructured Dynamic Environment, SimTecT 2011, 30 May - 2 June 2011, Accepted
[17] Lin Y, Sun Y (2011) 5-D Force Control System for Fingernail Imaging Calibration, IEEE Intl. Conference on Robotics and Automation, pp. 1374-1379
(pdf)
[16] Sun Y (2011) Fingertip Force and Contact Position and Orientation Sensor, IEEE Intl. Conference on Robotics and Automation, pp. 1114-1119
(pdf)
2010:
[15] Grieve T, Lincoln L, Sun Y, Hollerbach JM, Mascaro SA (2010) 3D Force Prediction Using Fingernail Imaging with Automated Calibration, Proc Intl. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 113-120.
(pdf)
[14] Agrawal A, Sun Y, Barnwell J, Raskar R (2010) Vision Guided Robot System for Picking Objects By Casting Shadows. Intl. Journal of Robotics Research, Vol. 29, No. 2-3, pp. 155-173.
(pdf)
2009:
[13] Sun Y, Hollerbach JM, Mascaro S.A (2009) Finger force direction estimation with computer vision. IEEE Transactions on Robotics, Vol. 25, pp. 1356-1369.
(pdf)
[12] Grieve T, Sun Y, Hollerbach JM, Mascaro S.A (2009) 3-D Force control on the human fingerpad using a magnetic levitation device for fingernail imaging calibration. World Haptics Conference, pp. 411-416.
(pdf)
2008:
[11] Sun Y, Hollerbach JM, Mascaro S.A (2008) Predicting fingertip forces by imaging coloration changes in the fingernail and surrounding skin. IEEE Transactions on Biomedical Engineering, Vol. 55, pp. 2363-2371.
(pdf)
[10] Sun Y, Hollerbach JM (2008) Observability index selection for robot calibration. IEEE Intl. Conference on Robotics and Automation, pp. 831-836.
(pdf)
[9] Sun Y, Hollerbach JM (2008) Active robot calibration algorithm. IEEE Intl. Conference on Robotics and Automation, pp. 1276-1281.
(pdf)
2007:
[8] Sun Y, Hollerbach JM, Mascaro SA (2007) Imaging the finger force direction. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-6.
(pdf)
[7] Sun Y, Hollerbach JM, Mascaro SA (2007) Eigennail for finger force direction recognition. IEEE Intl. Conference on Robotics and Automation, pp. 3251-3256.
(pdf)
[6] Sun Y, Hollerbach JM, Mascaro SA (2007) Finger force direction recognition by principal component analysis of fingernail coloration pattern. World Haptics Conference, pp. 90-95.
(pdf)
2006:
[5] Sun Y, Hollerbach JM, Mascaro SA (2006) Measuring finger forces by imaging the fingernail. Proc 14th Intl. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems,pp. 125-131.
(pdf)
[4] Sun Y, Hollerbach JM, Mascaro S.A (2006) Dynamic features and prediction model for imaging fingernail to measure finger forces. IEEE Intl. Conference on Robotics and Automation, pp. 2813-2818.
(pdf)
2001:
[3] Sun Y, Jiang CL , Dong M (2001) A skew-correction algorithm for Chinese characters in electronic maps of GIS, Journal of Dalian University of Technology , Vol. 42, No. 1, pp. 118-121.
[2] Sun Y, Yin F (2001) Using Genetic Algorithms to Design Buffers in Production Lines, Acta Automatica Sinica , Vol. 27, No. 6, Nov. pp. 863-866.
2000:
[1] Sun Y, Jiang CL, Yin F (2000) A Method of Improving Image Processing Speed in Windows, Microcomputer Applications, Vol. 21, No. 4, July, pp. 211-214.
Patents:
Peter Mouton, SL Elkins, Md Sirajus Salekin, Dmitry Goldgof, Yu Sun, Thao Ho, Ghadh Alzamzmi, System and Method for Multimodal Spatiotemporal Pain Assessment, Patent No. 11,631,280, issued on April 18, 2023.
Sun, Yu, and Yongqiang Huang. "Systems and methods for learning and generating movement policies for a dynamical system." U.S. Patent 11,298,821, issued on April 12, 2022.
G. A. Alzarnzmi, D. Goldgof, R. Kasturi, T. Ashmeade, Y. Sun, Comprehensive and context-sensitive neonatal pain assessment system and methods using multiple modalities, Patent # 11,202,604, issued on 12/21/2021
G. A. Alzarnzmi, D. Goldgof, Y. Sun, R. Kasturi, T. Ashmeade, Machine-Based Infants Pain Assessment Tool, Patent #10827973, issued on 11/10/2020.
Y. Sun, Functional Object-Oriented Networks for Manipulation Learning, US Patent #10,789,543, issued on 9/29,2020
Y. Sun, Y. Huang, Systems and methods for learning and generating movement policies for a dynamical system, US Patent #10,611,026, issued on 04/07/2020.
Y. Sun, T. Williams, Learning State-Dependent Sensor Measurement Models for Localization, US Patent # 10,572,802, Issued on 02/25/2020.
Y. Sun and Y. Huang, Generating Robotic Trajectories with Motion Harmonics, US Patent # 9,764,469, Issued on September 19, 2017
Y. Sun, M. Coovert, and I. Shindev, Techniques to Enable Robot Intention Expression, US Patent #9,744,672, Issued on August 29, 2017
Y. Sun, Y. Lin, Systems and Methods for Planning a Robot Grasp That Can Withstand Task Disturbances, US patent # 9,649,764, Issued on May 16, 2017
Y. Sun, J.E. Sanchez, X. Qian, B. Lin, Systems and Methods for Providing Augmented Reality in Minimally Invasive Surgery, US patent # 9,646,423, Issued on May 9, 2017.
Y. Sun, J.E. Sanchez, X. Qian, B. Lin, Systems and Methods for Providing Augmented Reality in Minimally Invasive Surgery, US patent # 9,547,940, Issued on January 17, 2017.
Y. Sun and A. Johnson, Systems and Methods for Projecting Images onto an Object, US patent #9,520,072, Issued on December 13, 2016.
Y. Sun, Y. Lin, Systems and Methods for Planning a Robot Grasp Based upon a Demonstration Grasp, US patent ＃9,321,176 Issued on April 26, 2016.
Y. Sun, Fingertip, Force, Location, and Orientation Sensor, US patent, US patent #8,724,861, Issued on May 13, 2014
Y. Sun, Richard D. Gitlin, Adam Anderson, Alexander Rosemurgy, and Sharona Ross, See-through Abdomen Display for Minimally Invasive Surgery, US patent #8,504,136, Issued on August 6, 2013. (Licensed)
Talks:
Characterizing Physical
Interaction in Instrument
Manipulations
Robotic Grasping for Daily-
Living Manipulation Tasks
Robotic Grasping for Daily-
Living Manipulation Tasks (2)
Hand and Mind
Ideomotor Learning for Robotic
Manipulation
Interactive Motion and Wrench
in Instrument Manipulation
Generating Manipulation Trajectory Using Motion Harmonics
Task-Based Grasp Quality Measures for Grasp Synthesis
Grasp Planning Based on Strategy Extracted from Demonstration
Grasping – from Human to Robot
Renaissance of Robotic Grasping
