Publications
E. Herrera, M. Lyons, J. Parron, R. Li, M. Zhu, and W. Wang*, “Learning-Finding-Giving: A Natural Vision-Speech-based Approach for Robots to Assist Humans in Human-Robot Collaborative Manufacturing Contexts,” in Proc. IEEE International Conference on Human-Machine Systems, 2024, pp. 1-6.
Y. Chen, W. Wang, and Y. Jia, “Task Constraint-Guided Inverse Reinforcement Learning (TC-IRL) in Human-Robot Collaborative Assembly”, in Proc. 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts, 2024, pp. 1-6.
R. Hidalgo, J. Parron, A. Varde*, and W. Wang*, “Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots,” in Proc. 2024 International IOT, Electronics and Mechatronics Conference, 2024, pp. 1-7. (Best Paper Award)
X. Guo, L. Zhou, M. Zhou, W. Wang, J. Wang, and Liang Qi, “Balancing Human-robot Collaborative Disassembly Line by Using Dingo Optimization Algorithm,” in Proc. IEEE International Conference on Human-Machine Systems, 2024, pp. 1-6.
A. Alqaddoumi, A. Mulinti, S. Penagamuri, Y. Ghaly, S. Chitnis, W. Wang, and M. Zhu, “A Robot-Assisted Missing Child Search Approach”, in Proc. 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024, pp. 1-6.
J. Murphy, K. Corcoran, A. Llanos, W. Wang, M. Zhu, R. Li, “Developing Students' Independent Problem-Solving Skills through the Heuristic Teaching Method in a Game Development Capstone Course,” in Proc. 2024 IEEE Integrated STEM Education Conference, 2024, pp. 1-7.
F. Guo, X. Guo, J. Wang, W. Wang, J. Cao, and I. Bigaume, “Improved Fireworks Optimization Algorithm for Multi-product Human-robot Collaborative Hybrid Disassembly Line Balancing”, in Proc. IEEE International Conference on Human- Machine Systems, 2024, pp. 1-6.
J. Parron, T. Nguyen, and W. Wang*, “Development of A Multimodal Trust Database in Human-Robot Collaborative Contexts,” in Proc. IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2023, pp. 1-5.
O. Obidat, J. Parron, R. Li, J. Rodano, W. Wang*, "Development of a Teaching-Learning-Prediction-Collaboration Model for Human-Robot Collaborative Tasks," in Proc. The 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, 2023, pp. 1-6. (Finalist of Best Student Paper Award)
I. Jacoby, J. Parron, and W. Wang*, "Understanding Dynamic Human Intentions to Enhance Collaboration Performance for Human-Robot Partnerships," in Proc. The IEEE MIT Undergraduate Research Technology Conference (URTC), 2023, pp. 1-6.
A. Varde, D. Karthikeyan, W. Wang, "Facilitating COVID Recognition from X-rays with Computer Vision Models and Transfer Learning," Multimedia Tools and Applications, pp. 1-23, 2023.
B. Li, K. Serranoand, M. Mazzarro, M. Wu, W. Wang, and M. Zhu, “Identification of Cyanobacteria for Harmful Algal Blooms Research using the YOLO Framework,” in Proc. IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2023, pp. 1-9.
A. Condegni, W. Wang, and R. Li, "A Digital Human System with Realistic Facial Expressions for Friendly Human-Machine Interaction," in Proc. The 2023 International Conference on Intelligent Computing, 2023, pp. 1-8.
T. Nguyen, J. Parron, O. Obidat, A. Tuininga, W. Wang*, "Ready or Not? A Robot-Assisted Crop Harvest Solution in Smart Agriculture Contexts," in Proc. IEEE International Conference on Smart Computing, 2023, pp. 1-6.
J. Rodano, O. Obidat, J. Parron, R. Li, M. Zhu, W. Wang*, "Teaching Humanoid Robots to Assist Humans for Collaborative Tasks," in Proc. IEEE International Conference on Smart Computing, 2023, pp. 1-5.
W. Wang, R. Li, Y. Chen, Y. Sun, and Y. Jia, "Predicting Human Intentions in Human-Robot Hand-Over Tasks Through Multimodal Learning," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 2339-2353, 2022. (Q1)
C. Conti, A. Varde, and W. Wang*, "Human-Robot Collaboration with Commonsense Reasoning in Smart Manufacturing Contexts," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1784-1797, 2022. (Q1)
Y. Sun, W. Wang, Y. Chen, and Y. Jia, "Learn How to Assist Humans Through Human Teaching and Robot Learning in Human-Robot Collaborative Assembly," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 52, no. 2, pp. 728-738, 2022. (Q1)
Z. Zhang, G. Peng, W. Wang, Y. Chen, Y. Jia, and S. Liu, "Prediction-Based Human-Robot Collaboration in Assembly Tasks Using a Learning from Demonstration Model," Sensors, vol. 22, no. 11, p. 4279, 2022. (Q2)
I. Lee, S. Passaro, S. Ozturk, J. Ureña, W. Wang, "Intelligent fluorescence image analysis of giant unilamellar vesicles using convolutional neural network", BMC Bioinformatics, pp. 1-22, 2022. (Q2)
L. Rodriguez, Z. Przedworska, O. Obidat, J. Parron, and W. Wang*, "Development and Implementation of an AI-Embedded and ROS-Compatible Smart Glove System in Human-Robot Interaction," in Proc. The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems Conference (IEEE MASS), 2022, pp. 1-6. (NSF-RMBL REU Travel Award)
Z. Zhang, G. Peng, W. Wang, and Y. Chen, "Real-Time Human Fault Detection in Assembly Tasks based on Human Action Prediction using a Spatio-Temporal Learning Model," Sustainability, pp. 1-26, 2022. (Q2)
T. Guo, O. Obidat, L. Rodriguez, J. Parron, and W. Wang*, "Reasoning the Trust of Humans in Robots through Physiological Biometrics in Human-Robot Collaborative Contexts," in Proc. The IEEE MIT Undergraduate Research Technology Conference (URTC), 2022, pp. 1-6. (2nd Place Best Paper Award)
P. Tilloo, J. Parron, O. Obidat, M. Zhu, and W. Wang*, "A POMDP-based Robot-Human Trust Model for Human-Robot Collaboration," in Proc. The 12th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, 2022, pp. 1-6.
M. Rao, L. Paulino, V. Robila, I. Li, M. Zhu, and W. Wang*, "Training-Free Lane Tracking for 1/10th Scale Autonomous Vehicle Using Inverse Perspective Mapping and Probabilistic Hough Transforms," in Proc. 2022 IEEE Integrated STEM Education Conference, 2022, pp. 1-6.
W. Wang*, C. Coutras, and M. Zhu, "Empowering Computing Students with Proficiency in Robotics via Situated Learning," Smart Learning Environments, pp. 1-18, 2021.
P. Persaud, A. Varde, and W. Wang, “Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion,” Journal of Robotics, pp. 1-11, 2021.
O. Obidat and W. Wang*, "TELL ME YOUR FEELINGS: Characterization and Analysis of Human Comfort in Human-Robot Collaborative Manufacturing Contexts," in Proc. 2021 IEEE International Conference on Control, Robotics and Cybernetics, 2021, pp. 1-5.
R. Li and W. Wang*, "Augmenting the Communication Naturalness via A 3D Audio-Visual Virtual Agent for Collaborative Robots," in Proc. 2021 IEEE International Conference on Big Data, 2021, pp. 1-3.
P. Tilloo and W. Wang*, "Give Me a Wrench!: Finding Tools for Human Partners in Human-Robot Collaborative Manufacturing Contexts," in Proc. 2021 IEEE International Conference on Automation, Control and Robotics Engineering (CACRE), 2021, pp. 1-5.
H. Diamantopoulos and W. Wang*, "Accommodating and Assisting Human Partners in Human-Robot Collaborative Tasks through Emotion Understanding," in Proc. 2021 IEEE International Conference on Mechanical and Aerospace Engineering, 2021, pp. 523-528.
L. Paulino, M. Zhu, and W. Wang*, "Learning Autonomous Driving in Tangible Practice: Development and On-Road Applications of a 1/10-Scale Autonomous Vehicle," in Proc. 2021 IEEE/ASEE Frontiers in Education Conference, 2021, pp. 1-5.
W. Wang* and L. Paulino, "Instill Autonomous Driving Technology into Undergraduates via Project-Based Learning," in Proc. 2021 IEEE Integrated STEM Education Conference, 2021, pp. 284-287.
W. Wang, Y. Chen and Y. Jia, "Evaluation and Optimization of Dual-Arm Robot Path Planning for Human-Robot Collaborative Tasks in Smart Manufacturing Contexts," ASME Letters in Dynamic Systems and Control (Selected by DSCC 2019), pp. 1-6, 2020.
C. Hannum, R. Li, and W. Wang*, "Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks," in Proc. 2020 IEEE International Conference on Big Data, 2020.
C. Conti, A. Varde, and W. Wang*, "Task Quality Optimization in Collaborative Robotics," in Proc. 2020 IEEE International Conference on Big Data, 2020.
C. Conti, A. Varde, and W. Wang*, "Robot Action Planning by Commonsense Knowledge in Human-Robot Collaborative Tasks," in Proc. 2020 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020. (Best Paper Award)
S. Bier, R. Li, and W. Wang*, "A Full-Dimensional Robot Teleoperation Platform," in Proc. 2020 IEEE International Conference on Mechanical and Aerospace Engineering, 2020, pp. 186-191. (Best Presentation Award)
D. Karthikeyan, A. Varde, and W. Wang, "Transfer Learning for Decision Support in COVID-19 Detection from a Few Images in Big Data," in Proc. 2020 IEEE International Conference on Big Data, 2020, pp. 1-9.
Y. Chen, W. Wang, V. Krovi, and Y. Jia, "Enabling Robot to Assist Human in Collaborative Assembly using Convolutional Neural Networks," in Proc. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
W. Wang*, C. Coutras, and M. Zhu, "Situated Learning-Based Robotics Education," in Proc. 2020 IEEE/ASEE Frontiers in Education Conference, 2020, pp. 1-3.
M. Zhu, M. Johnson, A. Dutta, N. Panorkou, B. Samanthula, P. Lal, and W. Wang, "Educational Simulation Design to Transform Learning in Earth and Environmental Sciences," in Proc. 2020 IEEE/ASEE Frontiers in Education Conference, 2020.
R. Li, H, Brand, A. Gopinath, S. Kamarajugadda, L. Yang, W. Wang, and B. Li, "Driver Physiological Drowsiness Behavior Detection and Analysis using Vision-based Multimodal Features for Driving Safety," in SAE World Congress, 2020, pp. 1-7.
W. Wang, Y. Chen, R. Li, Z. Zhang, V. Krovi, and Y. Jia, "Human-Robot Collaboration for Advanced Manufacturing by Learning from Multi-Modal Human Demonstrations," Recent Advances in Industrial Robotics, WSPC, pp. 87-116, 2019.
J. Gill, Y. Chen, F. Niaki, M. Tomaszewski, W. Wang, L. Mears, P. Pisu, Y. Jia, and V. Krovi, "A Smart Companion Robot for Automotive Assembly," Recent Advances in Industrial Robotics, WSPC, pp. 239-265, 2019.
W. Wang, Y. Chen, R. Li, and Y. Jia, "Learning and Comfort in Human-Robot Interaction: A Review," Applied Sciences, vol. 9, no. 23, pp. 1-20, 2019.
W. Wang, Y. Chen, and Y. Jia, "Which Way Is the Best?: Evaluation and Optimization of Dual-Arm Robot Path Planning for Human-Robot Collaborative Tasks in Smart Manufacturing Contexts," in Proc. The 2019 Dynamic Systems and Control Conference (DSCC), 2019, doi:10.1115/DSCC2019-9143, pp. 1-7.
R. Li, W. Wang, Y. Chen, and Y. Jia, "Natural Language and Gesture Perception based Robot Companion Teaching for Assisting Human Workers in Assembly Contexts," in Proc. The 2019 Dynamic Systems and Control Conference (DSCC), 2019, doi:10.1115/DSCC2019-9177, pp. 1-6.
Z. Zhang, W. Wang, Y. Chen, Y. Jia, and G. Peng, "Prediction of Human Actions in Assembly Process by a Spatial-Temporal End-to-End Learning Model," in SAE World Congress, 2019, pp. 1-6.
Y. Chen, W. Wang, Z. Zhang, V. Krovi, and Y. Jia, "Modeling and Learning of Object Placing Tasks from Human Demonstrations in Smart Manufacturing," in SAE World Congress, 2019, pp. 1-6.
W. Wang, R. Li, Y. Chen, Z. Diekel, and Y. Jia, "Facilitating Human-Robot Collaborative Tasks by Teaching-Learning-Collaboration from Human Demonstrations," IEEE Transactions on Automation Science and Engineering, vol. 16, no. 2, pp. 640-653, 2018. (Q1)
W. Wang, R. Li, Z. Diekel, Y. Chen, Z. Zhang, and Y. Jia, "Controlling Object Hand-Over in Human-Robot Collaboration via Natural Wearable Sensing," IEEE Transactions on Human-Machine Systems, pp. 1-12, 2018. doi: 10.1109/THMS.201 8.2883 176. (Q2)
W. Wang, R. Li, Z. M. Diekel, and Y. Jia, "Robot Action Planning by Online Optimization in Human-Robot Collaborative Tasks," International Journal of Intelligent Robotics and Applications, vol. 2, no. 2, pp. 161-179, 2018.
Y. Chen, W. Wang, Z. Abdollahi, Z. Wang, J. Schulte, V. Krovi, and Y. Jia, "A Robotic Lift Assister: A Smart Companion for Heavy Payload Transport and Manipulation in Automotive Assembly," IEEE Robotics and Automation Magazine, vol. 25, no. 2, pp. 107-119, 2018. (Q1)
W. Wang, R. Li, Z. M. Diekel, and Y. Jia, "Hands-free Maneuvers of Robotic Vehicles via Human Intentions Understanding using Wearable Sensing," Journal of Robotics, pp. 1-10, 2018. doi:10.1155/2018/4546094.
W. Wang, N. Liu, R. Li, Y. Chen, and Y. Jia, "HuCoM: A Model for Human Comfort Estimation in Human-Robot Collaboration," in Proc. The 2018 Dynamic Systems and Control Conference (DSCC), 2018, doi:10.1115/DSCC2018-9245, pp. 1-6.
W. Wang, R. Li, Y. Chen, and Y. Jia, "Human Intention Prediction in Human-Robot Collaborative Tasks," in Proc. 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018, pp. 279-280.
R. Li, W. Wang, Y. Chen, S. Srinivasan, and V. Krovi., "An End-to-End Fully Automatic Bay Parking Approach for Autonomous Vehicles," in Proc. The 2018 Dynamic Systems and Control Conference (DSCC), 2018, doi:10.1115/DSCC2018- 9126, pp. 1-6. (Robotics TC Best Paper Award)
L. Jiang, W. Wang, Y. Chen, and Y. Jia, "Personalize Vison-based Human Following for Mobile Robots by Learning from Human-driven Demonstrations," in Proc. The 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2018, pp. 726-731.
W. Wang, Y. Chen, Z. M. Diekel, and Y. Jia, "Cost Functions based Dynamic Optimization for Robot Action Planning," in Proc. 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018, pp. 277-278.
Z. Zhang, L. Guo, W. Wang, G. Peng, and Y. Jia., "Handling Deviation for Autonomous Vehicles after Learning with Small Dataset," in SAE World Congress, 2018, pp. 1-8.
W. Wang, R. Li, Z. M. Diekel, and Y. Jia, "Intuitive Maneuver of Autonomous Vehicles without Physical Control Interfaces using Wearable Sensing Devices," in Proc. The 7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2017, pp. 1451-1456.
P. Xu, J. Wang, M. Yang, W. Wang, Y. Bai, and Y. Song, "Analysis of Operator Support Method based on Intelligent Dynamic Interlock in Lead-Cooled Fast Reactor Simulator," Annals of Nuclear Energy, vol. 99, pp. 279-282, 2017.
W. Wang, Y. Song, J. Wang, P. Xu, and L. Kong, "A Novel Vacuum System Control Strategy for High Intensity D-T Fusion Neutron Generator," Journal of Fusion Energy, vol. 35, pp. 613-620, 2016.
W. Wang, J. Wang, L. Wang, P. Xu, and Y. Song, "Spectrum Analyses and Diagnoses of 350 kV HVPS Ripples on High Intensity D-T Fusion Neutron Generator," Journal of Fusion Energy, vol. 34, pp. 989-994, 2015.
W. Wang, Y. Song, J. Wang, Y. Wang, and G. Song, "Design of the 2.45 GHz ECR Ion Source Control System for High Intensity D-T Fusion Neutron Generator," Journal of Fusion Energy, vol. 34, pp. 584-591, 2015.
W. Wang, Y. Song, J. Wang, P. Xu, L. Wang, F. Qiu, et al., "Design of the Personnel Radiation Safety Interlock System for High Intensity D-T Fusion Neutron Generator," Journal of Fusion Energy, vol. 34, pp. 346-351, 2015.