Scholar
Aravind Sivaramakrishnan
Google Scholar ID: lsGJpL0AAAAJ
Amazon
Citations & Impact
Citations
96
H-index
6
i10-index
3
Publications
17
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple conference and journal papers, including 'KRAFT: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems'; finalist for Best Paper Award in Automation at 2024 IEEE International Conference on Robotics and Automation (ICRA).
Research Experience
- Applied Scientist at Amazon Robotics; interned at Amazon Robotics (Summer 2022), Bosch Austin (Summer 2021), and Preferred Networks (Summer 2018).
Education
- Ph.D. in Computer Science from Rutgers University, advised by Kostas Bekris; MS in CS from Rutgers; undergraduate degree in Computer Science & Engineering from Amrita Vishwa Vidyapeetham University.
Background
- Research interests: Applying machine learning algorithms to improve the efficiency and robustness of robot planning; excited about building robust, real-world robotics systems that integrate planning, control, and learning.
Miscellany
- Active on GitHub and Twitter; looking for talented and motivated undergraduate/MS student collaborators.
