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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Evolving Finite State Machine (e-FSM)
An online evolving method named evolving Finite State Machine (e-FSM) can determine unknown states (situations) and identify transitions. At the moment, it is similar to Markov Chain, but its structure evolves over time. This approach enables controllers to recognize unexpected situations and learn optimal decisions over time. Also, the e-FSM is fully explainable, while Deep Neural Network is not.
Driving Intention Recognition and Lane-change Prediction on the highway
Driving intention is recognized by determining and estimating a driving characteristic, and lane-change behaviors are predicted by training a neural-network based predictor
publications
Fusing Symbolic and Decision-Theoretic Problem Solving+ Perception in a Graphical Cognitive Architecture.
Published in Conference on Biologically Inspired Cognitive Architectures BICA, 2011
Recommended citation: Chen, J., Demski, A., Han, T., Morency, L. P., Pynadath, D. V., Rafidi, N., & Rosenbloom, P. S. (2011, October). Fusing Symbolic and Decision-Theoretic Problem Solving+ Perception in a Graphical Cognitive Architecture. In BICA (pp. 64-72).
An Online Gait Adaptation with SuperBot in Sloped Terrains.
Published in IEEE International Conference on Robotics and Biomimetics, 2012
Recommended citation: Han, T., Ranasinghe, N., Barrios, L., & Shen, W. M. (2012, December). An online gait adaptation with superbot in sloped terrains. In 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1256-1261). IEEE.
Learning via gradient descent in Sigma.
Published in Proceedings of the 12th International Conference on Cognitive Modeling, 2013
Recommended citation: Rosenbloom, P. S., Demski, A., Han, T., & Ustun, V. (2013). Learning via gradient descent in Sigma. In Proceedings of the 12th International Conference on Cognitive Modeling (Vol. 94).
Lane detection & localization for UGV in urban environment.
Published in 17th International IEEE Conference on Intelligent Transportation Systems, 2014
Recommended citation: Han, T., Kim, Y., & Kim, K. (2014, October). Lane detection & localization for UGV in urban environment. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 590-596).
Driving Intention Recognition and Lane Change Prediction on the Highway.
Published in In 2019 IEEE Intelligent Vehicles Symposium (IV), 2019
Recommended citation: Han, T., Jing, J., & Özgüner, Ü. (2019, June). Driving Intention Recognition and Lane Change Prediction on the Highway. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 957-962).
An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks.
Published in arXiv preprint arXiv:1908.10823, 2019
Recommended citation: Han, T., Filev, D., & Ozguner, U. (2019). An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks. arXiv preprint arXiv:1908.10823.
An online evolving framework for advancing reinforcement-learning based automated vehicle control.
Published in arXiv preprint arXiv:2006.08092, Accepted in IFAC 2020 WC, 2020
Recommended citation: Han, T., Nageshrao, S., Filev, D., & Ozguner, U. (2020). An online evolving framework for advancing reinforcement-learning based automated vehicle control. arXiv preprint arXiv:2006.08092.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.