Parv Maheshwari
Scholar

Parv Maheshwari

Google Scholar ID: U959xSkAAAAJ
Student, Carnegie Mellon University
RoboticsMotion ControlPath Planning
Citations & Impact
All-time
Citations
109
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • 1. Submitted a manuscript for ICRA 2024.
  • 2. Manuscript of our solution in the IROS Challenge accepted at 2022 IEEE International Conference on Control and Robotics (ICCR).
  • 3. 2 out of 3 submissions accepted as part of the MLRC 2021 and published under 2022 ReScience C Journal.
  • 4. Led 3 teams and submitted 3 manuscripts as part of the 2021 Machine Learning Reproducibility Challenge.
  • 5. Awarded the IASc-INSA-NASI Summer Research Fellowship.
  • 6. Won 1st place at the Navigation and Manipulation Challenge at IROS 2021!
Research Experience
  • 1. Research Associate | Carnegie Mellon University
  • Duration: May 2022 - Present
  • Advisors: Prof. Sebastian Scherer, Dr. Wenshan Wang
  • Project: Developing generalizable and accurate vehicle models to enhance the autonomous navigation capabilities of a modified Yamaha All-Terrain Vehicle.
  • 2. Summer Research Fellow | Indian Institute of Science Bangalore
  • Duration: May 2021 - September 2021
  • Advisors: Dr. Bharadwaj Amrutur, Dr. Mukunda Bharatheesha
  • Project: Worked on a centralized task allocation module and motion planning of warehouse robots, extending this work to a networked setting to avoid collisions.
  • 3. Undergraduate Researcher | IIT Kharagpur
  • Duration: March 2020 - Present
  • Advisor: Dr. Debashish Chakravarty
  • Project: Worked in the AGV team on local planners and led the team to perform exceptionally well in the IROS Navigation and MLRC challenges.
Education
  • Degree: Integrated M.Sc (5 Year Course)
  • Institution: IIT Kharagpur
  • Field: Mathematics and Computing
  • Duration: July 2019 - Present
  • Advisors: Not explicitly mentioned
Background
  • Research Interests: Motion control and path planning, with a specific focus on increasing the robustness and generalization capabilities of learning-based methods using classical methods. Background: Pursuing an Integrated M.Sc (5 Year Course) in Mathematics and Computing at IIT Kharagpur, currently working with Prof. Sebastian Scherer and Dr. Wenshan Wang at Airlab, CMU, to develop vehicle models for a full-scale Off-Road Yamaha ATV.
Miscellany
  • Personal Interests: Playing badminton, loves being near water including fountains, rivers, and beaches.