Alexander S. Broad

Doctoral Candidate,
Northwestern University

I am a graduate student in the Computer Science department at Northwestern University. I work in the Assistive & Rehabilitation Robotics Laboratory with Professor Brenna Argall. I also work closely with Professor Todd Murphey in the Neuroscience and Robotics (NxR) Lab. Previously, I received a B.A. in Applied Mathematics and P-N-P (Philosophy-Neuroscience-Psychology) from Washington University in St. Louis. I also graduated with a M.S. in Computer Science from the same university, during which time I researched Machine Learning and Robotics with Professor Bill Smart and Dr. Tom Erez. Before returning to graduate school, I worked as an Associate Staff member at MIT Lincoln Laboratory where I applied Machine Learning techniques to large datasets in support of systems for US intelligence analysts.

During the summer of 2017, I worked at MERL with Dr. Michael Jones and Dr. Teng-Yok Lee.

You can find my curriculum vitæ here.

Publications

Operation and Imitation under Safety-Aware Shared Control
Broad, A., Murhpey, T., Argall, B.
Workshop on Algorithmic Foundations of Robotics. 2018.
Recurrent Multi-frame Single Shot Detector for Video Object Detection
Broad, A., Lee, T-Y., Jones, M.
British Machine Vision Conference (BMVC). 2018.
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Structured Neural Network Dynamics for Model-based Control
Broad, A., Abraham, I., Murhpey, T., Argall, B.
RSS Workshop on Learning and Inference in Robotics. 2018.
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Demonstration and Imitation of Novel Behaviors under Safety Aware Shared Control
Broad, A., Murphey, T., Argall, B.
RSS Workshop on Causal Imitation in Robotics. 2018.
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Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
Broad, A., Murphey, T., Argall, B.
Robotics: Science and Systems (RSS). 2017.
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Real-Time Natural Language Corrections for Assistive Robotic Manipulators
Broad, A., Arkin, J., Ratliff, N., Howard, T., Argall, B.
International Journal of Robotics Research (IJRR). 2017.
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Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
Broad, A., Argall, B.
arXiv CORR abs/1703.04665. 2017.
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An Empirical Analysis of Methods for Learning Robot Kinematics from Demonstration
Broad, A., Gopinath, D., Murphey, T., Argall, B.
Midwest Robotics Workshop (MWRW). 2017.
Trust Adaptation Leads to Lower Control Effort in Shared Control of Crane Automation
Broad, A., Derry, M., Schutlz, J., Murphey, T., Argall, B.
Robotics and Automation Letters (RA-L). 2016. Also presented at the Conference on Automation Science and Engineering (CASE). 2016.
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Towards Real-Time Natural Language Corrections for Assistive Robots
Broad, A., Arkin, J., Ratliff, N., Howard, T., Argall, B.
RSS Workshop on Model Learning for Human-Robot Communication. Oral. 2016.
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Geometry-Based Region Proposals for Accelerated Image-Based Detection of 3D Objects
Broad, A., Argall, B.
RSS Workshop on Deep Learning. Oral. 2016.
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Inverted Trust Improves Shared Control of Complex Dynamic Systems
Broad, A., Derry, M., Schutlz, J., Murphey, T., Argall, B.
RSS Workshop on Social Trust in Autonomous Robots. Oral. 2016.
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Path Planning under Interface-Based Constraints for Assistive Robotics
Broad, A., Argall, B.
International Conference on Automated Planning and Scheduling (ICAPS). 2016.
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Probabilistic Models for Real-Time Natural Language Corrections to Assistive Robotic Manipulators
Arkin, J., Broad, A., Howard, T., Argall, B.
Midwest Robotics Workshop (MWRW). 2016.
Assistive Robotic Manipulation through Shared Autonomy and a Body-Machine Interface
Jain, S., Farshchiansadegh, A., Broad, A., Abdollahi, F., Mussa-Ivaldi, F., Argall, B.
IEEE International Conference on Rehabilitation Robotics. 2015.
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Feature-Rich Plagiarism Detection Using Structured Prediction
Broad, A., King, D., Asarina, A.
Tech Report. 2014.
Generating Muscle Driven Arm Movements Using Reinforcement Learning
Broad, A.
Master’s Thesis, Washington University in St. Louis. 2011.
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Selected Honors

Todd M. and Ruth Warren Fellowship. 2014 - 2019.

Highly selective fellowship program for graduate studies in the Department of Electrical Engineering and Computer Science.


Northwestern University Terminal Year Fellowship. 2018 - 2019.

Selective fellowship for PhD students in their terminal year.


Walter P. Murphy Fellowship. 2014 - 2015.

Fellowship program for the first year of doctoral studies.


Irene & Eric Simon Brain Research Fellowship. 2008.

Fellowship program "for bright, motivated undergraduate or first year graduate or medical students."


Teaching Experience

Northwestern's Introduction to Robotics Laboratory (T.A. - Fall, 2015)
Wash. U's Programming Systems and Languages (T.A. - Fall 2010)
Wash. U's Logic and Discrete Mathematics (T.A. - Spring 2010)
Mentor for undergraduate student through Northwestern's URG program.