Control of Physical Human-Robot Interaction using Self-Evaluating Deep Motion Intention Estimation for Industrial Robotic Applications

Robust and Reliable Deep Learning by Synergizing with Pre-Trained Models

A Low-Cost pH Monitoring and Control System for Algae Cultivation

A Generalized Model Reference Adaptive Controller-Reinforcement Learning Framework for Addressing Modeling Parametric Uncertainty

Designing and Modelling Multi-Stable Origami Structures for Adaptive Applications

Value and Policy Approximation for Two-player General-sum Differential Games

Design and Manufacturing of a Shape Memory Alloy-Based Actuator

Evolving Collective Behavior in Self-Organizing Particle Systems

Incorporating Causal Information using Temporal-Logic-Based Causal Diagram in Reinforcement Learning

Benefits and Challenges of Virtual Reality-Based Teleoperation of Robotic Arms