Karinne Ramirez-Amaro
Dr. Karinne Ramirez-Amaro is a Docent/Associate professor with the Division of Systems and Control (SYSCON), Department of Electrical Engineering (E2) at Chalmers University of Technology since April 2022. In 2019, she became an Assistant professor at Chalmers in the research group Mechatronics. Previously, she was a post-doctoral researcher at the Chair for Cognitive Systems (ICS) at the Technical University of Munich (TUM). She completed her Ph.D. (summa cum laude) at the Department of Electrical and Computer Engineering at the Technical University of Munich (TUM), Germany in 2015. From October 2009 until Dec 2012, she was a member of the Intelligent Autonomous Systems (IAS) group headed by Prof. Michael Beetz. She received a Master degree in Computer Science (with honours) at the Center for Computing Research of the National Polytechnic Institute (CIC-IPN) in Mexico City, Mexico in 2007.
Dr. Ramirez-Amaro received the Laura Bassi award granted by TUM and the Bavarian government to conduct a one-year research project in December 2015. For her doctoral thesis, she was awarded the price of excellent Doctoral degree for female engineering students, granted by the state of Bavaria, Germany in September 2015. In addition, she was granted a scholarship for a Ph. D. research by DAAD – CONACYT and she received the Google Anita Borg scholarship in 2011. She was involved in the EU FP7 project Factory-in-a-day and in the DFG-SFB project EASE. Her research interests include Artificial Intelligence, Semantic Representations, Assistive Robotics, Expert Systems, and Human Activity Recognition and Understanding.
Showing 15 publications
Learning Robot Skills From Demonstration for Multi-Agent Planning
Hierarchical Reinforcement Learning Based on Planning Operators
A causal-based approach to explain, predict and prevent failures in robotic tasks
The Importance of Human Factors for Trusted Human-Robot Collaborations
Why Did I Fail? a Causal-Based Method to Find Explanations for Robot Failures
Work in Progress - Automated Generation of Robotic Planning Domains from Observations
Optimizing robot planning domains to reduce search time for long-horizon planning
Automated Generation of Robotic Planning Domains from Observations
Robust Localization with Architectural Floor Plans and Depth Camera
Augmented Reality interface to verify Robot Learning
Purposive learning: Robot reasoning about the meanings of human activities
Semantic-based Method for Teaching Industrial Robots New Tasks
A Survey on Semantics and Understanding of Human Activities
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Showing 5 research projects
Towards Digital Twins of the Human Body for Personalized Safety
CRAFT-Collaborative-Robot Assistant for Technicians
Cyclist Interaction with Automated Vehicles – CI-AV
Intelligent agents that learn from their past experiences
Learning & Understanding Human-Centered Robotic Manipulation Strategies