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Publications by Pilarski, Patrick M.

In Journal (refereed)

1. J. Gunther, E. Reichensdo, P. Pilarski, K. Diepold. "Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison". PLoS One, (ed: Yanzheng Zhu), 15(12), pp e0243320, December 2020. PDFview
2. J. Castellanos-Cruz, M. Gomez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller". Journal of Medical Robotics Research, 4(3), May 2020. view
3. A. Valevicius, Q. Boser, E. Lavoie, C. Chapman, P. Pilarski, J. Hebert, A. Vette. "Characterization of normative angular joint kinematics during two functional upper limb tasks". Gait & Posture, 69, pp 176–186, March 2020. view
4. J. Gunther, N. Ady, A. Kearney, M. Dawson, P. Pilarski. "Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures". Frontiers in Robotics and AI, 7, March 2020. PDFview
5. A. Valevicius, Q. Boser, C. S.Chapman, P. Pilarski, A. Vette, J. Hebert. "Compensatory strategies of body-powered prosthesis users reveal primary reliance on trunk motion and relation to skill level". Clinical Biomechanics, 72, pp 122-129, February 2020. view
6. H. Williams, C. Chapman, P. Pilarski, A. Vette, J. Hebert. "Gaze and Movement Assessment (GaMA): Inter-site validation of a visuomotor upper limb functional protocol". PLoS One, (ed: Gavin Buckingham), 14(12), pp e0219333, December 2019. view
7. M. Gomez-Medina, J. Castellanos-Cruz, A. Rincon, P. Pilarski, K. Adams. "Comparison between two different prompting conditions when children use a lego robot to perform a set of tasks". Assistive Technology, 31(5), November 2019. view
8. J. Hebert, Q. Boser, A. Valevicius, H. Tanikawa, E. Lavoie, A. Vette, P. Pilarski, C. Chapman. "Quantitative Eye Gaze and Movement Differences in Visuomotor Adaptations to Varying Task Demands Among Upper-Extremity Prosthesis Users". JAMA Network Open, September 2019. PDFview
9. D. Manage, J. Lauzon, C. Jones, P. Ward, L. Pilarski, P. Pilarski, L. McMullen. "Detection of pathogenic Escherichia coli on potentially contaminated beef carcasses using cassette PCR and conventional PCR". BMC Microbiology, 19, July 2019. view
10. J. Castellanos-Cruz, M. Gomez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Predicting the toys that children and participants with cerebral palsy want to reach while controlling a haptic telerobotic system". Assistive Technology, 31(5), June 2019. view
11. A. Valevicius, Q. Boser, E. Lavoie, G. Murgatroyd, P. Pilarski, C. Chapman, A. Vette, J. Hebert. "Characterization of normative hand movements during two functional upper limb tasks". PLoS One, (ed: Antoine Nordez), 13(6), pp e0199549, June 2018. view
12. J. Travnik, K. Mathewson, R. Sutton, P. Pilarski. "Reactive reinforcement learning in asynchronous environments". Frontiers in Robotics and AI, 5, pp n/a, June 2018. PDFview
13. E. Lavoie, A. Valevicius, Q. Boser, O. Kovic, A. Vette, P. Pilarski, J. Hebert, C. Chapman. "Using synchronized eye and motion tracking to determine high-precision eye-movement patterns during object-interaction tasks". Journal of Vision (JOV), 18(6), June 2018. PDFview
14. D. Hunt, C. Figley, D. Manage, J. Lauzon, L. McMullen, P. Pilarski. "Monitoring food pathogens: Novel instrumentation for cassette PCR testing". PLoS One, (ed: Ruslan Kalendar), 13(5), pp e0197100, May 2018. view
15. Q. Boser, A. Valevicius, E. Lavoie, C. Chapman, P. Pilarski, J. Hebert, A. Vette. "Cluster-based upper body marker models for three-dimensional kinematic analysis: Comparison with an anatomical model and reliability analysis". Journal of Biomechanics, 72, pp 228-234, February 2018. view
16. A. Edwards, M. Dawson, J. Hebert, C. Sherstan, R. Sutton, K. Chan, P. Pilarski. "Application of Real-time Machine Learning to Myoelectric Prosthesis Control: A Case Series in Adaptive Switching". Prosthetics and Orthotics International, 40(5), pp 573–581, October 2016. PDFview
17. R. Vega, T. Sajed, K. Mathewson, K. Khare, P. Pilarski, R. Greiner, G. Sanchez-Ante, J. Antelis. "Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals". Artificial Intelligence Research, 6(1), pp 37-51, September 2016. PDFview
18. J. Günther, P. Pilarski, H. Shen, K. Diepold. "Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning". Mechatronics, 34, March 2016. view
19. H. Seije, A. Mahmood, P. Pilarski, M. Machado, R. Sutton. "True Online Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), 17(145), pp n/a, January 2016. PDFview
20. P. Pilarski, A. Edwards, K. Chan. "Novel Control Strategies for Arm Prostheses: A Partnership Between Man and Machine". The Japanese Journal of Rehabilitation Medicine, 52(2), pp 91-95, November 2015. PDFview
21. C. Castellini, P. Artemiadis, M. Wininger, A. Ajoudani, M. Alimusaj, A. Bicchi, B. Caputo, W. Craelius, S. Dosen, K. Englehart, D. Farina, A. Gijsberts, S. Godfrey, L. Hargrove, M. Ison, T. Kuiken, M. Marković, P. Pilarski, R. Rupp, E. Scheme. "Proceedings of the First Workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography". Frontiers in Neurorobotics, 8(22), August 2014. view
22. P. Pilarski. "Aligning homeostatic and heterostatic perspectives". Constructivist Foundations, 9(2), pp 213–215, July 2014. view
23. S. Adamia, M. Bar-Natan, B. Haibe-Kains, P. Pilarski, C. Bach, S. Pevzner, T. Calimeri, H. Avet-Loiseau, L. Lode, S. Verselis, E. Fox, I. Galinsky, S. Mathews, I. Dagogo-Jack, M. Wadleigh, D. Steensma, G. Motyckova, D. Deangelo, J. Quackenbush, D. Tenen, R. Stone, J. Griffin. "NOTCH2 and FLT3 gene mis-splicing are common events in patients with acute myeloid leukemia (AML): new potential targets in AML". Blood, 123(18), pp 2816–2825, May 2014. view
24. S. Adamia, B. Haibe-Kains, P. Pilarski, M. Bar-Natan, S. Pevzner, H. Avet-Loiseau, L. Lode, S. Verselis, E. Fox, J. Burke, I. Galinsky, I. Dagogo-Jack, M. Wadleigh, D. Steensma, G. Motyckova, D. Deangelo, J. Quackenbush, R. Stone, J. Griffin. "A Genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets". Clinical Cancer Research (CCR), 20(5), pp 1135-1145, March 2014. PDFview
25. J. Gunther, P. Pilarski, G. Helfrich, H. Shen, K. Diepold. "First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning". Procedia Technology, 15, pp 474-483, January 2014. PDFview
26. S. Adamia, P. Pilarski, M. Bar-Natan, R. Stone, J. Griffin. "Alternative splicing in chronic myeloid leukemia (CML): a novel therapeutic target?". Current Cancer Drug Targets, 13(7), pp 735–748, September 2013. view
27. S. Grange, K. Chettiar, M. Arestu, P. Pilarski, P. Smitham, M. Loizidou, G. Jell. "Nanotechnology & Medical Devices: Risk, Regulation and ‘Meta’ Registration". World Journal of Engineering, 10(3), pp 191-198, September 2013. PDFview
28. L. Pilarski, C. Marun, L. Martin, C. Venner, P. Pilarski, A. Belch. "B Lymphocytes as Cancer Stem Cells in Multiple Myeloma". Journal of Oncopathology, 1(2), pp 11-22, July 2013. view
29. S. Adamia, P. Pilarski, A. Belch, L. Pilarski. "Aberrant Splicing, Hyaluronan Synthases and Intracellular Hyaluronan as Drivers of Oncogenesis and Potential Drug Targets". Current Cancer Drug Targets, 13(4), pp 347–361, May 2013. view
30. P. Pilarski, M. Dawson, T. Degris, J. Carey, K. Chan, J. Hebert, R. Sutton. "Adaptive Artificial Limbs: A Real-time Approach to Prediction and Anticipation". IEEE Robotics and Automation Magazine, 20(1), pp 53-64, March 2013. view

In Conference (refereed)

31. C. Sherstan, M. Machado, P. Pilarski. "Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation". International Conference on Intelligent Robots and Systems, pp 2997-3003, December 2020. view
32. B. Hallworth, A. Shehata, M. Dawson, F. Sperle, M. Connan, W. Friedl, B. Vodermayer, C. Castellini, J. Hebert, P. Pilarski. "A Transradial Modular Adaptable Platform for Evaluating Prosthetic Feedback and Control Strategies". Myoelectric Control Symposium, August 2020. view
33. M. Dawson, H. Williams, G. Murgatroyd, J. Hebert, P. Pilarski. "brachIOplexus: Myoelectric Training Software for Clinical and Research Applications". Myoelectric Control Symposium, August 2020. view
34. A. Parker, A. Edwards, P. Pilarski. "Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb". International Conference on Rehabilitation Robotics (ICORR), pp 1239–1246, May 2020. view
35. C. Sherstan, S. Dohare, J. MacGlashan, J. Günther, P. Pilarski. "Gamma-Nets: Generalizing Value Estimation over Timescale". National Conference on Artificial Intelligence (AAAI), pp 5717-5725, February 2020. PDFview
36. P. Pilarski, A. Butcher, M. Johanson, M. Botvinick, A. Bolt, A. Parker. "Learned human-agent decision-making, communication and joint action in a virtual reality environment". Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 2019. view
37. A. Kearney, P. Pilarski. "When is a Prediction Knowledge?". Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 2019. view
38. J. Castellanos-Cruz, M. Tavakoli, P. Pilarski, K. Adams. "Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories". International Conference on Rehabilitation Robotics (ICORR), pp 175-180, June 2019. view
39. D. Brenneis, M. Dawson, H. Tanikawa, J. Hebert, J. Carey, P. Pilarski. "The Effect of an Automatically Levelling Wrist Control System". International Conference on Rehabilitation Robotics (ICORR), pp 816-823, June 2019. view
40. H. Williams, Q. Boser, P. Pilarski, C. Chapman, A. Vette, J. Hebert. "Hand Function Kinematics when using a Simulated Myoelectric Prosthesis". International Conference on Rehabilitation Robotics (ICORR), pp 169-174, May 2019. view
41. J. Günther, A. Kearney, N. Ady, M. Dawson, P. Pilarski. "Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor), pp 1967–1969, May 2019. view
42. G. Vasan, P. Pilarski. "Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, October 2018. view
43. A. Kearney, A. Koop, C. Sherstan, J. Günther, R. Sutton, P. Pilarski, M. Taylor. "Evaluating Predictive Knowledge". AAAI Fall Symposium, pp 43-46, October 2018. view
44. D. Brenneis, M. Dawson, G. Murgatroyd, J. Carey, P. Pilarski. "Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, October 2018. view
45. J. Günther, A. Kearney, M. Dawson, C. Sherstan, P. Pilarski. "Predictions, Surprise, and Predictions of Surprise in General Value Function Architectures". AAAI Fall Symposium, pp 22-29, October 2018. view
46. J. Castellanos-Cruz, M. Gómez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention during a Playful Activity". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, pp 1280–1285, October 2018. view
47. D. Brenneis, M. Dawson, P. Pilarski. "Development of the HANDi Hand: An Inexpensive, Multi-Articulating, Sensorized Hand for Machine Learning Research in Myoelectric Control". Myoelectric Control Symposium, August 2017. PDFview
48. G. Vasan, P. Pilarski. "Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning". International Conference on Rehabilitation Robotics (ICORR), pp 1457-1464, July 2017. view
49. J. Travnik, P. Pilarski. "Representing High-Dimensional Data to Intelligent Prostheses and other Wearable Assistive Robots: A First Comparison of Tile Coding and Selective Kanerva Coding". International Conference on Rehabilitation Robotics (ICORR), pp 1443-1450, July 2017. view
50. K. Mathewson, P. Pilarski. "Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception". AAAI Spring Symposium, March 2017. PDFview
51. C. Sherstan, M. Machado, A. White, P. Pilarski. "Introspective Agents: Confidence Measures for General Value Functions". Artificial General Intelligence (AGI), New York, USA, (ed: Bas R. Steunebrink, Pei Wang, Ben Goertzel), pp 258-261, July 2016. PDFview
52. A. Edwards, J. Hebert, P. Pilarski. "Machine Learning and Unlearning to Autonomously Switch Between the Functions of a Myoelectric Arm". International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp 514-521, June 2016. view
53. C. Sherstan, J. Modayil, P. Pilarski. "A Collaborative Approach to the Simultaneous Multi-joint Control of a Prosthetic Arm". International Conference on Rehabilitation Robotics (ICORR), pp 13-18, August 2015. view
54. H. Seijen, A. Mahmood, P. Pilarski, R. Sutton. "An empirical evaluation of True Online TD(lambda)". European Workshop on Reinforcement Learning (EWRL), July 2015. view
55. C. Sherstan, P. Pilarski. "Multilayer General Value Functions for Robotic Prediction and Control". International Conference on Intelligent Robots and Systems, September 2014. PDFview
56. K. Chan, M. Dawson, A. Edwards, J. Hebert, R. Sutton, P. Pilarski. "Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning". Myoelectric Control Symposium, pp 66-70, August 2014. PDFview
57. A. Koop, A. Kearney, M. Bowling, P. Pilarski. "Dealing with Changing Contexts in Myoelectric Control". Myoelectric Control Symposium, pp 113-116, August 2014. view
58. M. Dawson, C. Sherstan, J. Carey, J. Hebert, P. Pilarski. "Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research". Myoelectric Control Symposium, pp 57-61, August 2014. view
59. A. Edwards, A. Kearney, M. Dawson, R. Sutton, P. Pilarski. "Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb". Multidisciplinary Conference on Reinforcement Learning and Decision Making, September 2013. view
60. P. Pilarski, L. Qi, M. Ferguson-Pell, S. Grange. "Determining the Time until Muscle Fatigue using Temporally Extended Prediction Learning". International Functional Electrical Stimulation Society Conference, pp 37–40, June 2013. PDFview
61. P. Pilarski, T. Dick, R. Sutton. "Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints". International Conference on Rehabilitation Robotics (ICORR), June 2013. view
62. J. Modayil, A. White, P. Pilarski, R. Sutton. "Acquiring a broad range of empirical knowledge in real time by temporal-difference learning". International Conference on Systems, Man, and Cybernetics (SMC), Seoul, South Korea, pp 1903-1910, October 2012. PDFview

In Workshop

63. S. Huang, M. Zambelli, Y. Tassa, J. Kay, M. Martins, P. Pilarski, R. Hadsell. "Achieving Gentle Manipulation with Deep Reinforcement Learning". Deep Reinforcement Learning Workshop, pp 1-11, December 2018. view
64. S. Huang, M. Zambelli, Y. Tassa, J. Kay, M. Martins, P. Pilarski, R. Hadsell. "Leveraging Physical Models for Gentle Manipulation". Modeling the Physical World: Perception, Learning, and Control, pp 1-4, December 2018. view
65. C. Sherstan, J. MacGlashan, P. Pilarski. "Generalizing Value Estimation over Timescale". FAIM Workshop on Prediction and Generative Modeling in Reinforcement Learning, July 2018. view
66. C. Sherstan, M. Machado, P. Pilarski. "Incrementally Added GVFs are Learned Faster with the Successor Representation". FAIM Workshop on Prediction and Generative Modeling in Reinforcement Learning, July 2018. view
67. V. Veeriah, P. Pilarski, R. Sutton. "Face valuing: Training user interfaces with facial expressions and reinforcement learning". Workshop on Interactive Machine Learning, July 2016. view
68. K. Mathewson, P. Pilarski. "Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning". Workshop on Interactive Machine Learning, July 2016. view
69. P. Pilarski, R. Sutton, K. Mathewson. "Prosthetic Devices as Goal-Seeking Agents". Present and Future of Non-invasive Peripheral-Nervous-System Machine Interfaces: Progress in Restori, August 2015. view
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