cv
For more details on Recent Resume see the pdf file
Basics
| Name | Donipolo Ghimire |
| Label | PhD Candidate |
| Url | https://donipologhimire.github.io/ |
| Summary | I am a researcher in the field of Robotics, focusing on Planning and Control of Robotic Systems. |
Education
-
2020.10 - current Irvine, CA
PhD in MAE, Focus on Planning and Control of Robotic Systems
University of California, Irvine
Robotics
-
2020.10 - 2022.06 Irvine, CA
Masters in Mechanical and Aerospace Engineering
University of Califronia Irvine, Irvine, CA
Software Development
- Theory of Relativity
-
2015.08 - 2019.05 Washington, DC
Bachelors in Mechanical Engineering
Howard University, Washington, DC
Software Development
- Theory of Relativity
Publications
-
2025.03 NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering
In Review
Developed a novel approach for multi-agent coverage in challenging environments using exemplar-clustering techniques.
-
2025.02 Behavioral Entropic Gradient-based Adaptive Source Seeking for Mobile Robots
In Review
Behavioral Entropic Gradient-based Adaptive Source Seeking for Mobile Robots.
-
2024.12 Stein Coverage: a Variational Inference Approach to Distribution-matching Multisensor Deployment
IEEE Robotics and Automation Letters (RA-L)
Presented at ICRA Rotterdam, Netherlands. A novel approach using variational inference for multisensor deployment.
-
2023.06 Optimal Multi-Sensor Deployment via Sample-Based Quality-of-Service Distribution Matching
European Control Conference (ECC)
Developed an optimal method for deploying multiple sensors by matching quality-of-service distributions.
Skills
| Programming Languages | |
| Python | |
| C++ | |
| PyTorch | |
| MATLAB | |
| Node JS |
| Robotic Tools | |
| Robot Operating System (ROS) | |
| Gazebo | |
| Drake |
| Research Interests | |
| Motion Planning | |
| Mathematical Optimization | |
| Machine Learning | |
| Graph Theory |
| Coursework | |
| Machine Learning | |
| Graph Theory | |
| Motion Planning | |
| Optimal Controls | |
| Optimization | |
| State Estimation and Filtering | |
| Probabilistic Learning | |
| Non Linear Controls | |
| Linear Algebra | |
| Dynamics |