Hi Iām Aryaman!
A machine learning and vision researcher with a demonstrated history of working in the Defence & Aerospace industry. I have a keen interest in the application of learning and computer vision for autonomy in robots.
I completed my Masters under Prof. Ufuk Topcu at UT Austin. My thesis research involved exploring ideas which push the limits of Robot Autonomy by utilizing Hierarchical Reinforcement Learning and Compositionality.
Beyond my technical expertise, I am a versatile athlete, excelling in football, swimming, squash, and badminton. I find joy in playing the piano, hiking, and discovering the unique charm of new places through travelling.
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<aside> š§š»āš¼ Machine Learning Engineer
SkyGrid, Austin, TX
June 2023 ā Present
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<aside> š§š»āš¼ Research Engineer
Multi AI, Austin, TX
Sep 2022 ā Dec 2022
<aside> š§š»āš¼ Machine Learning Intern
Third Insight, Austin, TX
May 2022 ā Aug 2022
<aside> š§š»āš¼ Graduate Research Assistant
Autonomous Systems Group, UT Austin
Aug 2021 ā Present
<aside> š§š»āš¼ Autonomous Systems Intern
NewSpace Research and Technologies, India
May ā Jun 2019, Jan ā Aug 2021
<aside> š§š»āš¼ Artificial Intelligence Intern
BEL Central Research Laboratory, India
Jun ā Jul 2019
<aside> š§š»āš¼ Undergraduate Researcher
Manipal Institute of Technology, India
Jun ā Dec 2020
<aside> š« Fair Opportunity Project [Link]
<aside> š« Code2College [Link]
<aside> š The University of Texas at Austin
Austin, TX
Master of Science: Aerospace Engineering (Track - Control, Autonomy and Robotics)
*Robotics Portfolio program *****
Thesis - Hierarchical and Compositional Reinforcement Learning for Autonomous Systems [Link]
Aug 2021 ā May 2023
GPA - 4.0/4.0 ****
Relevant courses: Robot Learning, Multi-agent Systems, Reinforcement Learning, Computer Vision, Aerial Robotics, Learning-based Optimal Control, Statistical Machine Learning Optimization, Verification and Synthesis for Cyberphysical Systems, Causality and RL.
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<aside> š Manipal Institute of Technology
Manipal, India
Bachelor of Engineering: Aerospace Engineering, Minor in Mathematical Computing
Thesis - Geotagging and Classification of Targets using Unmanned Aerial Systems
Jul 2017 ā May 2021
GPA: 8.0/10.0
Relevant courses: Linear Control Theory, Deep Learning & Neural Networks, Avionics & Navigation Systems, DSA, Embedded Systems
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<aside> š Title: A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Authors: Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
Status: Accepted, ICRA ā24
Link - arXiv
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<aside> š Title: Verifiable Reinforcement Learning Systems via compositionality
Authors: Cyrus Neary, Aryaman Singh Samyal, Christos Verginis, Murat Cubuktepe, Ufuk Topcu.
Status: Under review, Journal of Artificial Intelligence Research
Link - arXiv
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<aside> š Title: Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
Authors: Rishabh Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu.
Status: Published, IEEE Transactions on Intelligent Vehicles
Link - arXiv
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<aside> š Title: Hierarchical Control for Head-to-Head Autonomous Racing
Authors: Rishabh Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu.
Status: Accepted, Field Robotics
Link - arXiv
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<aside> š Title: Analysis and Adaptation of YOLOv4 for Aerial object detection
Authors: Aryaman Singh Samyal, Akshatha K. R., Soham Hans, Karunakar A.K., Satish Shenoy B.
Link - arXiv
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<aside> š Academic and Co-Curricular
<aside> š Athletics and Sports
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