Immersive Scholars

This page contains research conducted by Immersive Scholar students at PeARL

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