I am deeply engaged in several impactful projects that align with advancing robotics and machine learning:

• Path Planning Contributions to Open Source: Contributing to the open-source repository AutonomousVehicleControlBeginnersGuide, where I am implementing path planning algorithms like A* to make foundational concepts in self-driving car technology more accessible to students and enthusiasts.

• Reinforcement Learning with MuJoCo: Developing reinforcement learning frameworks using MuJoCo for robotic control. This includes creating robust environments and algorithms to refine robotic motion through advanced reinforcement learning techniques.

• Imitation Learning for Aloha Kits: Leveraging Action Chunking Transformers to train Aloha Kits for imitation learning tasks. My work focuses on designing policies, generating sample trajectories, and optimizing models to teach robots complex tasks effectively.

• Sim-to-Real Transfer for Aloha Kits: Building an end-to-end framework to seamlessly transition policies trained in simulation to physical robots, ensuring real-world applicability and performance consistency.

• Integration of Aloha Kits with LeRobot: Collaborating with Hugging Face to integrate Aloha Kits into the LeRobot framework. This includes enabling multi-camera support and creating streamlined workflows for dataset collection and training.