For publications generated by my lab at Northwestern/RIC, please visit our  publications page.
[ The below is research done as a postdoc at EPFL, a PhD student at CMU or a pre-IRTA Fellow at the NIH. ]


Book Chapters

B. D. Argall, B. Browning and M. M. Veloso. Mobile Robot Motion Control from Demonstration and Corrective Feedback.  In From Motor to Interaction Learning in Robots. J. Peters and O. Sigaud, editors. Springer, New York, NY, 2009.  [pdf]


Journal Publications

A. L. Pais, B. D. Argall and A. G. Billard. Assesing Interaction Dynamics in the Context of Robot Learning from Demonstration. International Journal of Social Robotics, 4(4), 477-490 2013.   [pdf]

B. D. Argall, M. Veloso, and B. Browning. Feedback for the Refinement of Learned Motion Control on a Mobile Robot. International Journal of Social Robotics, 4(4), 383-395, 2012.   [pdf]

E. L. Sauser, B. D. Argall, G. Metta and A. G. Billard. Iterative Grasp Adaptation Learning with Tactile Corrections. Robotics and Autonomous Systms, 60(1), 55-71, 2012. [pdf]

B. D. Argall, M. Veloso, and B. Browning. Teacher Feedback to Scaffold and Refine Demonstrated Motion Primitives on a Mobile Robot. Robotics and Autonomous Systems, 59(3-4), 243-255, 2011.  [pdf]

B. D. Argall, Eric L. Sauser and A. G. Billard. Tactile Guidance for Policy Adapatation. Foundations and Trends in Robotics, 1(2), 79-133, 2010.   [pdf]

B. D. Argall and A. G. Billard. A Survey of Tactile Human-Robot Interactions. Robotics and Autonomous Systems. 58(10): 1159-1176, 2010.   [pdf]

B. D. Argall, S. Chernova, M. Veloso, and B. Browning. A Survey of Robot Learning from Demonstration. Robotics and Autonomous Systems. 57(5): 469-483, 2009.  [pdf]

B. D. Argall, Z. S. Saad, and M. S. Beauchamp. Simplified Intersubject Averaging on the Cortical Surface Using SUMA. Human Brain Mapping, 27(1):14-27, 2006.  [pdf]

M. S. Beauchamp, B. D. Argall, J. Bodurka, J. H. Duyn, and A. Martin. Unraveling Multisensory Integration: Patchy Organization within Human STS Multisensory Cortex. Nature Neuroscience, 7(11):1190-1192, 2004.   [pdf]

M. S. Beauchamp, K. E. Lee, B. D. Argall, and A. Martin. Integration of Auditory and Visual Information about Objects in Superior Temporal Sulcus. Neuron, 41:809-823, 2003.  [pdf]

B. D. Argall, E. Cheleshkin, J. M. Greenberg, C. Hinde, and P.J. Lin. A Rigorous Treatment of Follow-the-Leader Traffice Model with Traffic Lights Present. SIAM Journal on Applied Mathematics, 63(1): 149-168, 2002.  [pdf]


Ph.D. Dissertation

---

Referreed Conference Publications

B. Argall and A. Billard. Learning from Demonstration and Correction via Multiple Modalities for a Humanoid Robot. In Proceedings of the International Conference SKILLS, Montpellier, France, December 2011.   [pdf] 

B. D. Argall. Continuing Robot Skill Learning after Demonstration with Human Feedback . In Proceedings of the International Conference SKILLS, Montpellier, France, December 2011.    [pdf] 

B. Argall, E. Sauser and A. Billard. Policy Adaptation through Tactile Feedback. In Proceedings of the Sixth Annual Conference on Human Robot Interactions (HRI '11), late-breaking report, Lausanne, Switzerlnad, March 2011.

B. Argall, E. Sauser and A. Billard. Tactile Feedback for Policy Refinement and Reuse. In Proceedings of the 9th IEEE International Conference on Development and Learning (ICDL '10), Ann Arbor, Michigan, USA, August 2010.  [pdf]

B. Argall, E. Sauser and A. Billard. Policy Adaptation through Tactile Correction. In Proceedings of the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB '10), Leicester, UK, March 2010.  [pdf]

B. Argall, E. Sauser and A. Billard. Tactile Correction and Multiple Training Data Sources for Robot Motion Control. In NIPS 2009 Workshop on Learning from Multiple Sources with Application to Robotics, Whistler, British Columbia, Canada, December 2009.  [pdf]

B. Argall, B. Browning, and M. Veloso. Learning Mobile Robot Motion Control from Demonstrated Primitives and Human Feedback. In Proceedings of the 14^th International Symposium on Robotics Research (ISRR '09), Luzern, Switzerland, August 2009.  [pdf]

B. Argall, B. Browning, and M. Veloso. Automatic Weight Learning for Multiple Data Sources when Learning from Demonstration. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09), Kobe, Japan, May 2009.  [pdf]

B. Argall, B. Browning and M. Veloso. Learning Robot Motion Control from Demonstration and Human Advice. In Proceedings fo the AAAI Spring Symposium on Agents that Learn from Human Teachers, Stanford, California, USA, March 2009.  [pdf]

B. Argall, B. Browning, and M. Veloso. Learning Robot Motion Control with Demonstration and Advice-Operators. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '08), Nice, France, September 2008.  [pdf]

M. B. Dias, B. Kannan, B. Browning, E. G. Jones, B. Argall, M. F. Dias, M. B. Zinck, M. Veloso and A. Stentz. Sliding Autonomy for Peer-to-Peer Robot Teams. In Proceedings of the 10th International Conference on Intelligent Autonomous Systems (IAS '08), Baden Baden, Germany, July 2008.  [pdf]

B. Argall, B. Browning, and M. Veloso. Learning by Demonstration with Critique from a Human Teacher. In Proceedings of the Second Annual Conference on Human-Robot Interactions (HRI '07), Washington D.C., USA, March 2007.  [pdf]

E. G. Jones, B. Browning, M. B. Dias, B. Argall, M. Veloso and A. Stentz. Dynamically Formed Heterogeneous Robot Teams Performing Tightly-Coordinated Tasks. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '06), Orlando, Florida, USA, May 2006.  [pdf]

B. Argall, Y. Gu, B. Browning, and M. Veloso. The First Segway Soccer Experience: Towards Peer-to-Peer Human-Robot Teams. In Proceedings of the First Annual Conference on Human-Robot Interactions (HRI '06), Salt Lake City, Utah, USA, March 2006. [pdf]
(Also Carnegie Mellon University Technical Report, CMU-CS-05-161, 2005.  [pdf])

B. D. Argall, Z. S. Saad, A. Martin, M. S. Beauchamp. A Comparison between Surface and Volume-based Averaging Techniques for Cross-Subject fMRI Analysis. In Proceedings of the 33rd Meeting for the Society for Neuroscience, Abs. 863.12, New Orleans, Louisiana, USA, November 2003.  [pdf]