Immersive Scholars
This page contains research conducted by Immersive Scholar students at PeARL
Spring 2024
Jonathan Spanos
Fuzzy Logic Controller Design for Tuning Assistive Exoskeleton Robots
Fall 2023
Owen O'Brien
Robot Elastic Map and Learning from Demonstration
Hoang Nguyen
Increasing the Human Likeness of Robot Movements
Spring 2023
Andrew Borin
Simulation-to-real transfer of robotic manipulation tasks
Summer 2022
Nakul Joshi
Solving Tower of Hanoi using Computer Vision and Symbolic Planning
Joel Keaton
Developing Robotic Natural Motion using Extremal Jerk Profiles
Spring 2022
Ben Schiffer & Daniel Bousquet
Classification of Demonstrations for Robot Learning
Zahra Rezaei Khavas
Performance Trust Violation vs Moral Trust Violation by Robots: Which hurts more?
Hamid Osooli
Discovering Emergent Behaviors Using Multi-agent Reinforcement Learning
Summer 2021
Nick Pulsone
Robot Learning using Canal Surfaces
Daniel Maienza
Developing a Gridworld Baseline for Artificial Intelligence
Jack Holden
Towards Autonomous Underwater Inspection and Cleaning