This page contains research conducted by Immersive Scholar students at PeARL
Exploring the Usage of Laplacian Trajectory Editing to Improve Correspondence
Using a Video Game Controller for Virtual Robot Demonstrations
Fuzzy Logic Controller Design for Tuning Assistive Exoskeleton Robots
Robot Elastic Map and Learning from Demonstration
Increasing the Human Likeness of Robot Movements
Simulation-to-real transfer of robotic manipulation tasks
Solving Tower of Hanoi using Computer Vision and Symbolic Planning
Developing Robotic Natural Motion using Extremal Jerk Profiles
Classification of Demonstrations for Robot Learning
Performance Trust Violation vs Moral Trust Violation by Robots: Which hurts more?
Discovering Emergent Behaviors Using Multi-agent Reinforcement Learning
Robot Learning using Canal Surfaces
Developing a Gridworld Baseline for Artificial Intelligence
Towards Autonomous Underwater Inspection and Cleaning