Seminar: Vision-guided Robotic Manipulation for Autonomous Applications, Dr. Maria Koskinopoulou, Heriot Watt University

Bio

Dr. Maria Koskinopoulou is currently an Assistant Professor in Robotics and Computer Vision at the Institute of Signals, Sensors and Systems (ISSS), of the School of Engineering & Physical Sciences (EPS), of Heriot-Watt University, Edinburgh, UK. She heads the Robotic Manipulation and Autonomous Applications Lab of Heriot Watt and the National Robotarium and focuses on intelligent and vision-based manipulation to establish autonomy in industrial and medical setups.                            Before that, she worked as a Postdoctoral Fellow in the Biomedical Robotics Laboratory at the Italian Institute of Technology (IIT, Genoa). She holds a BSc in Electrical and Computer Engineering, MSc in Computational Neuroscience and obtained her PhD in Robotics and Computer Science in February 2020 from the University of Crete, Greece, under the supervision of Prof. Panos Trahanias. Her research interests and expertise are in the areas of Robotic Manipulation, Perception and Robot Vision, Medical Robotics, Human-Robot Interaction and Machine Learning.

Abstract

Robotic manipulation is a critical aspect of autonomous applications across various industries, ranging from manufacturing and logistics to healthcare and agriculture. Vision-guided robotic manipulation leverages Computer Vision and Artificial Intelligence to enable robots to perceive and interact with their environment with a high degree of autonomy and precision. We believe that vision-guided robotic manipulation holds significant promise for enhancing autonomy, shared awareness, and precision across various industries, making it a critical area of study and development for the future of robotics and industrial autonomy. In this talk, we will provide an overview of our latest advancements on vision-guided robotic manipulation, the core concepts, and technologies, highlighting its significance in the era of autonomous systems. We will discuss the integration of computer vision and robotics, presenting real-world applications for autonomous waste sorting and smart medical injections. Through these paradigms, we will emphasize the significance of vision-guided robotic manipulation in addressing complex tasks and delve into the key challenges and ongoing research areas that are shaping the future of this field, aiming to enhance efficiency and autonomy in various domains.