About Me
Hi👋, I’m Sriram Krishnamoorthy, a PhD candidate in the department of Mechanical Engineering at Clemson University. My research focuses on safe motion planning and data-driven control for robotic systems using Koopman operators and densty fucntions.
Research Interests
I’m passionate about exploring innovative approaches in:
- Data-Driven Control
- Motion Planning
- Optimal Control
- Model Predictive Control
- Deep Learning
- Reinforcement Learning
Recent Projects
Here are some of the exciting projects I’ve worked on:
- SE(3) Koopman-MPC: Developed a framework integrating the Koopman operator and MPC for data-driven control of quadrotors and quadruped robots.
- Linear Time-Varying MPC: Designed a LTV-MPC using rigid body dynamics for agile locomotion.
- Density-Based Motion Planner: Formulated a density function based motion planner for safe navigation of robotic systems.
- Deep Koopman Autoencoder: Developed an Deep Autoencoder leveraging Koopman operators for learning-based control of complex nonlinear systems, such as quadruped robots.
Current Learning
🌱 I’m currently exploring traversability mapping for off-road navigation and developing a Koopman MPC for quadruped locomotion over challenging terrains.
Contact Me
📫 I’d love to connect with you! Reach out to me via:
- Email: sriramk@clemson.edu
- Twitter: @sriram2502
For more details, check out my Resume and my Google Scholar.