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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
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
RCPPO
Implementation of RCPO into stable-baselines3 PPO. 
projects
Exploring Model Design Spaces for Cognitive and Affective State Recognition in Immersive Virtual Reality Using Multimodal Neuro-physiological Signals
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Exploring Model Design Spaces for Cognitive and Affective State Recognition in Immersive Virtual Reality Using Multimodal Neuro-physiological Signals
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Machine Learning approaches for selecting the best predictive model using the dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru, and Mexico
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Predicting Haberman’s Survival from patients’ age and number of positive nodes using k-nearest neighbors
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Performance Evaluation of Generalized Logit Model and Proportional Odds Model: A Comparative Analysis on Car Evaluation Dataset
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Improving the prediction of the Heart Failure Patients’ Survival using Machine Learning Approach
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An Empirical analysis of Micro-credit Model:Yunus Equation and Impact of Micro-Credit on Poverty Alleviation and Women Empowerment of Poor People: A Case Study of Bangladesh
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MULTI-LABEL AND MULTI-CLASS CLASSIFICATION OF MEDICAL SPECIALITIES FROM MEDICAL TRANSCRIPTIONS
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publications
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
Published in Robotics and Automation Letters (RA-L), 2022
The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performance in dynamic obstacle avoidance. However, these learning-based approaches are often developed in specially designed simulation environments and are hard to test against conventional planning approaches. Furthermore, the integration and deployment of these approaches into real robotic platforms are not yet completely solved. In this paper, we present Arena-bench, a benchmark suite to train, test, and evaluate navigation planners on different robotic platforms within 3D environments. It provides tools to design and generate highly dynamic evaluation worlds, scenarios, and tasks for autonomous navigation and is fully integrated into the robot operating system. To demonstrate the functionalities of our suite, we trained a DRL agent on our platform and compared it against a variety of existing different model-based and learning-based navigation approaches on a variety of relevant metrics. Finally, we deployed the approaches towards real robots and demonstrated the reproducibility of the results.
Recommended citation: L. Kastner et. al. (2022) "Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments" Robotics and Automation Letters. https://arxiv.org/abs/2206.05728
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant - STA 296 and STA 210
Undergraduate course, University of Kentucky, Department of Statistics, 2021
Course Support
Assisted in teaching STA 296 (Statistical Methods and Motivations) and STA 210 (Introduction to Statistical Reasoning), where I helped undergraduate students understand foundational statistical concepts and data analysis techniques. I provided support with course materials, answered questions, and reinforced statistical reasoning to improve student engagement and comprehension.
Graduate Mentorship - Machine Learning and AI Projects
Graduate mentorship, University of Maryland, Baltimore County, Department of Information Systems, 2022
Mentorship and Guidance
Provided mentorship to graduate students, guiding them in the application of machine learning and AI techniques to real-world projects. I empowered students to tackle industry-relevant challenges by helping them understand the practical applications of advanced statistical and machine learning methods.
Teaching Assistant - IS 603, IS 733, and IS 734
Graduate course, University of Maryland, Baltimore County, Department of Information Systems, 2023
Course Development and Support
Assisted in the development and delivery of IS 603 (Decision Making Support Systems), IS 733 (Data Mining), and IS 734 (Data Analytics for Cybersecurity). Focused on providing students with hands-on experience using AI and data science tools. I helped design course materials and ensured students had practical skills that aligned with current industry standards.