Robotics

Robot learning, control systems, motion planning, and intelligent physical agents.

Imitation learning, sim-to-real transfer, and learning from demonstration.

Control Systems

PID controllers, optimal control, and feedback systems for robots.

Motion Planning

Path planning, trajectory optimization, and collision avoidance.

Robot Perception

Sensor fusion, LiDAR, visual SLAM, and environment understanding.

Manipulation & Grasping

Robotic arms, dexterous manipulation, grasp planning, and object handling.

Human-Robot Interaction

Collaborative robots, safety, intent recognition, and natural interfaces.

Multi-robot coordination, emergent behavior, and decentralized control.

Simulation Environments

Gazebo, Isaac Sim, MuJoCo, and sim-to-real transfer for robotics.