Karinne Ramírez-Amaro

48 papers A* 1A 4B 2C 1Journal 25Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Causal Approach to Predicting and Improving Human Perceptions of Social Navigation Robots.
CoRR
Maximilian Diehl, Nathan Tsoi, Gustavo Chavez, Karinne Ramírez-Amaro, Marynel Vázquez
2026 J jnl
Enhancing Hierarchical Reinforcement Learning With Symbolic Planning for Long-Horizon Tasks.
IEEE Trans Autom. Sci. Eng.
Jing Zhang, Emmanuel Dean, Karinne Ramírez-Amaro
2026 — conf
Rewarding Change Beyond State: Directional VLM Rewards for Sample-Efficient Robot Reinforcement Learning
SII
Linus Lundgren, Wenhao Lu, Zhitao Liang, Ze Zhang, Karinne Ramírez-Amaro, Emmanuel Dean
2026 — conf
The Role of Real-World Data in Evaluating Causal Bayesian Networks: Data Collection Guidelines and Case Study.
SII
Zhitao Liang, Maximilian Diehl, Nanami Hashimoto, Anne Koepken, Daniel Leidner, Karinne Ramírez-Amaro, Emmanuel Dean
2025 — conf
Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from Demonstration.
SII
Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro
2025 J jnl
IEEE RAS ICRA 2025 LA@Chile Satellite Event: Expanding Robotics Horizons in Latin America [Education].
IEEE Robotics Autom. Mag.
Javier Ruiz-del-Solar, Julio Godoy, Rodrigo Verschae, Karinne Ramírez-Amaro, Stefan Escaida Navarro, Daniel Lühr, Miguel A. Solis
2025 — conf
Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining
SII
Wenhao Lu, Maximilian Diehl, Jonas Sjöberg, Karinne Ramírez-Amaro
2024 J jnl
Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks.
IEEE Robotics Autom. Lett.
Maximilian Diehl, Karinne Ramírez-Amaro
2024 — conf
Hierarchical Reinforcement Learning Based on Planning Operators.
CASE
Jing Zhang, Emmanuel Dean, Karinne Ramírez-Amaro
2024 — conf
Learning Robot Skills From Demonstration for Multi-Agent Planning.
CASE
Maximilian Diehl, Isacco Zappa, Andrea Maria Zanchettin, Karinne Ramírez-Amaro
2023 J jnl
A causal-based approach to explain, predict and prevent failures in robotic tasks.
Robotics Auton. Syst.
Maximilian Diehl, Karinne Ramírez-Amaro
2023 J jnl
Diversity as a Game Changer for Successful Teams in RoboCup [Women in Engineering].
IEEE Robotics Autom. Mag.
Daniel Leidner, Georgia Chalvatzaki, Karinne Ramírez-Amaro
2023 J jnl
Guided Demonstrations Using Automated Excuse Generation.
CoRR
Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro
2023 J jnl
Hierarchical Reinforcement Learning based on Planning Operators.
CoRR
Jing Zhang, Karinne Ramírez-Amaro
2023 J jnl
IDEA: A New Initiative to Foster Diversity and Inclusion in the Robotics and Automation Society [Women in Engineering].
IEEE Robotics Autom. Mag.
Henny Admoni, Karinne Ramírez-Amaro
2023 B conf
The Importance of Human Factors for Trusted Human-Robot Collaborations.
HAI
Karinne Ramírez-Amaro, Ilaria Torre, Maximilian Diehl, Emmanuel Dean
2022 J jnl
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2022 J jnl
The Value of Diversity in the Robotics and Automation Society [Women in Engineering].
IEEE Robotics Autom. Mag.
Karinne Ramírez-Amaro, Daniel Leidner, Georgia Chalvatzaki
2022 J jnl
Why Did I Fail? A Causal-Based Method to Find Explanations for Robot Failures.
IEEE Robotics Autom. Lett.
Maximilian Diehl, Karinne Ramírez-Amaro
2022 J jnl
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2021 A conf
Automated Generation of Robotic Planning Domains from Observations.
IROS
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Automated Generation of Robotic Planning Domains from Observations.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Optimizing robot planning domains to reduce search time for long-horizon planning.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Work in Progress - Automated Generation of Robotic Planning Domains from Observations.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2020 B conf
Augmented Reality interface to verify Robot Learning.
RO-MAN
Maximilian Diehl, Alexander Plopski, Hirokazu Kato, Karinne Ramírez-Amaro
2020 — conf
Robust Localization with Architectural Floor Plans and Depth Camera.
SII
Yoshiaki Watanabe, Karinne Ramírez-Amaro, Bahriye Ilhan, Taku Kinoshita, Thomas Bock, Gordon Cheng
2020 A conf
The Robot as Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality.
IROS
Constantin Uhde, Nicolas Berberich, Karinne Ramírez-Amaro, Gordon Cheng
2019 J jnl
A Semantic-Based Method for Teaching Industrial Robots New Tasks.
Künstliche Intell.
Karinne Ramírez-Amaro, Emmanuel C. Dean-Leon, Florian Bergner, Gordon Cheng
2019 J jnl
A survey on semantic-based methods for the understanding of human movements.
Robotics Auton. Syst.
Karinne Ramírez-Amaro, Yezhou Yang, Gordon Cheng
2019 J jnl
Purposive learning: Robot reasoning about the meanings of human activities.
Sci. Robotics
Karinne Ramírez-Amaro, Michael Beetz, Yasuo Kuniyoshi
2018 J jnl
Integration of Robotic Technologies for Rapidly Deployable Robots.
IEEE Trans. Ind. Informatics
Emmanuel C. Dean-Leon, Karinne Ramírez-Amaro, Florian Bergner, Ilya Dianov, Gordon Cheng
2017 J jnl
Added Value of Gaze-Exploiting Semantic Representation to Allow Robots Inferring Human Behaviors.
ACM Trans. Interact. Intell. Syst.
Karinne Ramírez-Amaro, Humera Noor Minhas, Michael Zehetleitner, Michael Beetz, Gordon Cheng
2017 A conf
On-line simultaneous learning and recognition of everyday activities from virtual reality performances.
IROS
Tamas Bates, Karinne Ramírez-Amaro, Tetsunari Inamura, Gordon Cheng
2017 A* conf
TOMM: Tactile omnidirectional mobile manipulator.
ICRA
Emmanuel C. Dean-Leon, Brennand Pierce, Florian Bergner, Philipp Mittendorfer, Karinne Ramírez-Amaro, Wolfgang Burger, Gordon Cheng
2017 J jnl
Transferring skills to humanoid robots by extracting semantic representations from observations of human activities.
Artif. Intell.
Karinne Ramírez-Amaro, Michael Beetz, Gordon Cheng
2016 — conf
Extracting general task structures to accelerate the learning of new tasks.
Humanoids
Ilya Dianov, Karinne Ramírez-Amaro, Pablo Lanillos, Emmanuel C. Dean-Leon, Florian Bergner, Gordon Cheng
2016 — conf
From multi-modal tactile signals to a compliant control.
Humanoids
Emmanuel C. Dean-Leon, Florian Bergner, Karinne Ramírez-Amaro, Gordon Cheng
2016 — conf
General recognition models capable of integrating multiple sensors for different domains.
Humanoids
Karinne Ramírez-Amaro, Emmanuel C. Dean-Leon, Ilya Dianov, Florian Bergner, Gordon Cheng
2016 C conf
Robotic technologies for fast deployment of industrial robot systems.
IECON
Emmanuel C. Dean-Leon, Karinne Ramírez-Amaro, Florian Bergner, Ilya Dianov, Pablo Lanillos, Gordon Cheng
2015 — conf
Online prediction of activities with structure: Exploiting contextual associations and sequences.
Humanoids
Nicholas H. Kirk, Karinne Ramírez-Amaro, Emmanuel C. Dean-Leon, Matteo Saveriano, Gordon Cheng
2015 — conf
Robust semantic representations for inferring human co-manipulation activities even with different demonstration styles.
Humanoids
Karinne Ramírez-Amaro, Emmanuel C. Dean-Leon, Gordon Cheng
2015 J jnl
Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot.
Adv. Robotics
Karinne Ramírez-Amaro, Michael Beetz, Gordon Cheng
2014 A conf
Automatic segmentation and recognition of human activities from observation based on semantic reasoning.
IROS
Karinne Ramírez-Amaro, Michael Beetz, Gordon Cheng
2014 — conf
Bootstrapping humanoid robot skills by extracting semantic representations of human-like activities from virtual reality.
Humanoids
Karinne Ramírez-Amaro, Tetsunari Inamura, Emmanuel C. Dean-Leon, Michael Beetz, Gordon Cheng
2014 — conf
When to engage in interaction - And how? EEG-based enhancement of robot's ability to sense social signals in HRI.
Humanoids
Stefan K. Ehrlich, Agnieszka Wykowska, Karinne Ramírez-Amaro, Gordon Cheng
2011 — conf
Imitating human reaching motions using physically inspired optimization principles.
Humanoids
Sebastian Albrecht, Karinne Ramírez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz
2006 J jnl
Automatic Generation of Hypotheses Using the GUHA Method.
Res. Comput. Sci.
Jesús Figueroa-Nazuno, Karinne Ramírez-Amaro, V. Ortega-González
2005 J jnl
On a New Approach to Time Series Tracking.
Res. Comput. Sci.
Juan Carlos Chimal-Eguía, Karinne Ramírez-Amaro