J. Zhang, E. Dean and K. Ramirez-Amaro, "Enhancing Hierarchical Reinforcement Learning with Symbolic Planning for Long-Horizon Tasks," IEEE Transactions on Automation Science and Engineering, 2026. Available: https://doi.org/10.1109/TASE.2025.3641255
P. Damaschke and K. Ramirez-Amaro, "Complexity of action path finding with small precondition sets," Discrete Applied Mathematics, vol. 381, pp. 339-348, Mar. 2026. Available: https://doi.org/10.1016/j.dam.2025.12.009
B. Santhanam, A. Mitrevski, S. Thoduka, S. Houben and T. Hassan, "Reliable Robotic Task Execution in the Face of Anomalies," IEEE Robotics and Automation Letters (RA-L), vol. 11, no. 1, pp. 314-321, Jan. 2026. Available: https://doi.org/10.1109/LRA.2025.3632090
Z. Liang, M. Diehl, N. Hashimoto, A. Koepken, D. Leidner, K. Ramirez-Amaro, and E. Dean, "The Role of Real-World Data in Evaluating Causal Bayesian Networks: Data Collection Guidelines and Case Study," in Proceedings of the IEEE/SICE International Symposium on System Integration (SII), 2026. To appear.
O. A. S. Ali, S. Koutsoftas, Z. Zhang, K. Akesson, and E. Dean, "Collision-Free Navigation of Mobile Robots via Quadtree-Based Model Predictive Control," in Proceedings of the IEEE/SICE International Symposium on System Integration (SII), 2026. To appear.
Z. Zhang, G. Hess, J. Hu, E. Dean, L. Svensson and K. Åkesson, "Future-Oriented Navigation: Dynamic Obstacle Avoidance With One-Shot Energy-Based Multimodal Motion Prediction," IEEE Robotics and Automation Letters (RA-L), vol. 10, no. 8, pp. 8043-8050, Aug. 2025. Available: https://doi.org/10.1109/LRA.2025.3575969
Z. Liang, M. Diehl, N. Hashimoto, A. Koepken, D. Leidner, K. Ramirez-Amaro, and E. Dean, "Toward Systematic Sim-to-Real Evaluation of Causal Bayesian Networks in Robotics," in Late Breaking Results at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2025.
Z. Liang, M. Diehl, N. Hashimoto, A. Koepken, D. Leidner, K. Ramirez-Amaro, and E. Dean, "From Simulation to Reality: Data-Efficient Evaluation of Causal Bayesian Networks," in Workshop on Resource-Rational Robot Learning at the Conference on Robot Learning (CoRL), 2025. Available: https://rational-robots.github.io
W. Lu, M. Diehl, J. Sjöberg and K. Ramirez-Amaro, "Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining," in Proceedings of the IEEE/SICE International Symposium on System Integration (SII), Munich, Germany, 2025, pp. 29-36. Available: https://doi.org/10.1109/SII59315.2025.10870988
M. Diehl, T. Chakraborti and K. Ramirez-Amaro, "Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from Demonstration*," in Proceedings of the IEEE/SICE International Symposium on System Integration (SII), Munich, Germany, 2025, pp. 43-48. Available: https://doi.org/10.1109/SII59315.2025.10870986
M. Diehl and K. Ramirez-Amaro, "Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks," IEEE Robotics and Automation Letters (RA-L), vol. 9, no. 2, pp. 1011-1018, Feb. 2024. Available: https://doi.org/10.1109/LRA.2023.3339062
S. Armleder, E. Dean‐Leon, F. Bergner, J. Rogelio Guadarrama Olvera, and G. Cheng, "Tactile‐Based Negotiation of Unknown Objects during Navigation in Unstructured Environments with Movable Obstacles," Advanced Intelligent Systems, vol. 6, no. 3, pp. 2300621:1-15, Jan. 2024. Available: https://doi.org/10.1002/aisy.202300621
M. Diehl, I. Zappa, A. M. Zanchettin and K. Ramirez-Amaro, "Learning Robot Skills From Demonstration for Multi-Agent Planning," in Proceedings of the IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024, pp. 2348-2355. Available: https://doi.org/10.1109/CASE59546.2024.10711439
J. Zhang, E. Dean and K. Ramirez-Amaro, "Hierarchical Reinforcement Learning Based on Planning Operators," in Proceedings of the IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024, pp. 2006-2012. Available: https://doi.org/10.1109/CASE59546.2024.10711595
H. Admoni and K. Ramirez-Amaro, "IDEA: A New Initiative to Foster Diversity and Inclusion in the Robotics and Automation Society [Women in Engineering]," IEEE Robotics & Automation Magazine, vol. 30, no. 4, pp. 88-90, Dec. 2023. Available: https://doi.org/10.1109/MRA.2023.3323076
Z. Zhang, H. Hajieghrary, E. Dean-Leon and K. Åkesson, "Prescient Collision-Free Navigation of Mobile Robots With Iterative Multimodal Motion Prediction of Dynamic Obstacles," IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 9, pp. 5488-5495, Sept. 2023. Available: https://doi.org/10.1109/LRA.2023.3296333
S. K. Ehrlich, E. Dean-Leon, N. Tacca, S. Armleder, V. Dimova-Edeleva, and G. Cheng, "Human-robot collaborative task planning using anticipatory brain responses," PLOS ONE, vol. 18, no. 7, pp. e0287958:1-26, July 2023. Available: https://doi.org/10.1371/journal.pone.0287958
M. Diehl and K. Ramirez-Amaro, "A causal-based approach to explain, predict and prevent failures in robotic tasks," Robotics and Autonomous Systems (RAS), Elsevier, vol. 162, pp. 104376, Apr. 2023. Available: https://doi.org/10.1016/j.robot.2023.104376
D. Leidner, G. Chalvatzaki and K. Ramirez-Amaro, "Diversity as a Game Changer for Successful Teams in RoboCup [Women in Engineering]," in IEEE Robotics & Automation Magazine, vol. 30, no. 1, pp. 98-100, Mar. 2023. Available: https://doi.org/10.1109/MRA.2023.3238211
F. Bergner, E. Dean-Leon, and G. Cheng, "Neuromorphic principles for large-scale robot skin," Sensory Systems for Robotic Applications, vol. 97, 2023.
K. Ramirez-Amaro, I. Torre, M. Diehl, and E. Dean, "The Importance of Human Factors for Trusted Human-Robot Collaborations," in Proceedings of the International Conference on Human-Agent Interaction (HAI), 2023, pp. 502-503. Available: https://doi.org/10.1145/3623809.3623981
M. Diehl and K. Ramirez-Amaro, "Why did I fail? A causal-based method to find explanations for robot failures," IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 4, pp. 8925-8932, Oct. 2022. Available: https://doi.org/10.1109/LRA.2022.3188889
N. Paredes-Acuña, N. Berberich, E. Dean-León and G. Cheng, "Tactile-Based Assistive Method to Support Physical Therapy Routines in a Lightweight Upper-Limb Exoskeleton," IEEE Transactions on Medical Robotics and Bionics, vol. 4, no. 3, pp. 541-549, Aug. 2022. Available: https://doi.org/10.1109/TMRB.2022.3188429
S. Armleder, E. Dean-Leon, F. Bergner, and G. Cheng, "Interactive Force Control Based on Multimodal Robot Skin for Physical Human−Robot Collaboration," Advanced Intelligent Systems, vol. 4, no. 2, 2022. Available: https://doi.org/10.1002/aisy.202100047
T. Kobayashi, E. Dean-Leon, J. Rogelio Guadarrama-Olvera, F. Bergner, and Gordon Cheng, "Whole‐Body Multicontact Haptic Human-Humanoid Interaction Based on Leader-Follower Switching: A Robot Dance of the "Box Step"," Advanced Intelligent Systems, vol 4, no. 2, 2022. Available: https://doi.org/10.1002/aisy.202100038
Z. Tayeb, A. Dragomir, J. H. Lee, N. I. Abbasi, E. Dean-Leon, A. Bandla, R. Bose, R. Sundar, A. Bezerianos, N. V. Thakor, and G. Cheng, "Distinct spatio-temporal and spectral brain patterns for different thermal stimuli perception," Scientific reports, vol. 12, no. 919, 2022. Available: https://doi.org/10.1038/s41598-022-04831-w
K. Ramirez-Amaro, D. Leidner, and G. Chalvatzaki, "The Value of Diversity in the Robotics and Automation Society," IEEE Robotics & Automation Magazine (RAM), Special column for Women in Engineering, Sept. 2022. Available: https://doi.org/10.1109/MRA.2022.3189194
Z. Zhang, E. Dean, Y. Karayiannidis and K. Åkesson, "Multimodal Motion Prediction Based on Adaptive and Swarm Sampling Loss Functions for Reactive Mobile Robots," in Proceedings of the IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City, Mexico, 2022, pp. 1110-1115. Available: https://doi.org/10.1109/CASE49997.2022.9926544
L. J. Dust, E. Persson, M. Ekström, S. Mubeen and E. Dean, "Quantitative analysis of communication handling for centralized multi-agent robot systems using ROS2," in Proceedings of the IEEE 20th International Conference on Industrial Informatics (INDIN), Perth, Australia, 2022, pp. 624-629. Available: https://doi.org/10.1109/INDIN51773.2022.9976160
M. Diehl, C. Paxton and K. Ramirez-Amaro, "Automated Generation of Robotic Planning Domains from Observations," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021, pp. 6732-6738. Available: https://doi.org/10.1109/IROS51168.2021.9636781
N. Paredes-Acuña, N. Berberich, E. Dean-León, and G. Cheng, "Using Robot Skin to Support Physical Therapy Routines with a Lightweight Upper-Limb Exoskeleton," in Proceedings of the 20th International Conference on Advanced Robotics (ICAR), Ljubljana, Slovenia, 2021, pp. 563-568. Available: https://doi.org/10.1109/ICAR53236.2021.9659361
Z. Zhang, E. Dean-León, Y. Karayiannidis, and K. Åkesson, "Motion Prediction Based on Multiple Futures for Dynamic Obstacle Avoidance of Mobile Robots," in Proceedings of the IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 2021, pp. 475-481. Available: https://doi.org/10.1109/CASE49439.2021.9551463
F. Bergner, E. Dean-Leon, and G. Cheng. "Design and Realization of an Efficient Large-Area Event-Driven E-Skin," Sensors, vol. 20, no. 7, pp. 1965, 2020. Available: https://doi.org/10.3390/s20071965
J. Rogelio Guadarrama Olvera, E. Dean-Leon, F. Bergner, and G. Cheng, "Plantar tactile feedback for biped balance and locomotion on unknown terrain," International Journal of Humanoid Robotics, vol. 17, no. 01, 2020. Available: https://doi.org/10.1142/S0219843619500361
M. Diehl, A. Plopski, H. Kato, and K. Ramirez-Amaro, "Augmented Reality interface to verify Robot Learning," in Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Naples, Italy, 2020, pp. 378-383. Available: https://doi.org/10.1109/RO-MAN47096.2020.9223502
C. Uhde, N. Berberich, K. Ramirez-Amaro, and G. Cheng, "The Robot as Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 8081-8086. Available: https://doi.org/10.1109/IROS45743.2020.9341505
B. Specht, Z. Tayeb, E. Dean, R. Soroushmojdehi, and G. Cheng, "Real-Time Robot Reach-To-Grasp Movements Control Via EOG and EMG Signals Decoding," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 3812-3817. Available: https://doi.org/10.1109/ICRA40945.2020.9197550
A. E. H. Martin, E. Dean-Leon, and G. Cheng, "TACTO-Selector: Enhanced Hierarchical Fusion of PBVS with Reactive Skin Control for Physical Human-Robot Interaction," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 9121-9127. Available: https://doi.org/10.1109/ICRA40945.2020.9196979
K. Ramirez-Amaro, Y. Yang, and G. Cheng. "A Survey on Semantics and Understanding of Human Activities," Robotics and Autonomous Systems (RAS), vol. 119, pp. 31-50, Sept. 2019. Available: https://doi.org/10.1016/j.robot.2019.05.013
K. Ramirez-Amaro, E. Dean-Leon, F. Bergner, and G. Cheng. "Semantic-based Method for Teaching Industrial Robots New Tasks," Künstliche Intelligenz (KI), Apr. 2019. Available: https://doi.org/10.1007/s13218-019-00582-5
G. Cheng, K. Ramirez-Amaro, M. Beetz, and Y. Kuniyoshi. "Purposive learning: Robot reasoning about the meanings of human activities," Science Robotics, vol. 4, no. 26, Jan. 2019. Available: https://doi.org/10.1126/scirobotics.aav1530
K. Ramirez-Amaro, C. Uhde, T. Bates, and G. Cheng. "A Benchmarking Dataset for Automatic Symbolic Grounding from Virtual Demonstrations," 2nd International Workshop on Computational Models of Affordance in Robotics at the IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019.
E. Dean-Leon, K. Ramirez-Amaro, F. Bergner, I. Dianov, and G. Cheng. “Integration of Advanced Robotic Technologies for Rapidly Deployable Industrial Robots,” IEEE Transactions on Industrial Informatics (TII), vol. 14, no. 4, Apr. 2018. Available: https://doi.org/10.1109/TII.2017.2766096
K. Ramirez-Amaro and G. Cheng. "Accelerating the teaching of industrial robots by re-using semantic knowledge from various domains," Workshop WORKMATE: the WORKplace is better with intelligent, collaborative, robot MATEs at the IEEE International Conference on Robotics and Automation (ICRA), 2018.