Research Topic
Robot Manipulation and Human Robot Interaction
I am a Ph.D. student at the University of Nottingham starting from October 2023, under the supervision of Dr. Luis Figueredo (1st) and Dr. Ayse Kucukyilmaz (2nd). My PhD topic is robotic control, manipulation, and physical human-robot interaction. I am interested in geometric methods for intelligent robots, focusing on developing mathematical frameworks that enable robots to operate in a natural, efficient, and comfortable manner.
Publications
Roles
AWARDS & SCHOLARSHIPS & Fundings
Activities
• Poster Session: GeoCopilot: What does Geometry Mean for Robots?
• Workshop (Building Safe Robots A Holistic Integrated View on Safety from Modelling, Control & Implementation): GeoCopilot: What does Geometry Mean for Robots?
• Team: Safe Physical Human-Robot Interaction for Frail Users
• Exhibition: Safety Serving Robot - Guarantee Human Robot Interaction While Robot Serves Around Us
• Paper Presentation: Manipulability Transfer and Tracking Control: Bridging Domain Adaptation with Predictive Feasibility
• Workshop (How do Robots Care? Innovative Strategies and Interfaces for Physically Assistive Robots in Healthcare): Manipulability Transfer and Tracking Control: Bridging Domain Adaptation with Predictive Feasibility
• Workshop (Beyond the Lab: Robust Planning and Control in Real World Scenarios): GeoPF: Infusing Geometry into Potential Fields for Reactive Planning in Non-trivial Environments
• Competition (PhyRC: Physical Robotic Caregiving Challenge)
• Workshop Session: Manipulability Transfer and Tracking Control: Bridging Domain Adaptation with Predictive Feasibility
• Workshop Session: Manipulability Transfer and Tracking Control: Bridging Domain Adaptation with Predictive Feasibility
• Workshop Session: Episodic TD3: Introducing Movement Primitives into Actor-Critic Algorithm
Pre-study
EpisodicTD3: Introducing Movement Primitives into Actor-Critic Algorithms
Reimplementation of Task-aware Variational Adversarial Active Learning
Compare Episodic and Step-based Reinforcement Learning