Graduate Student
Interdisciplinary program combining AI, machine learning and robotics for intelligent real-world systems.
- •Studying autonomous systems combining AI, ML and robotics
- •Developing intelligent systems for real-world applications
- •Thesis focused on multi-agent planning
Technion - MSc. in Autonomous Systems
Currently pursuing a Master's degree in the interdisciplinary Autonomous Systems Program.
Program Focus
The Technion Autonomous Systems Program is an interdisciplinary initiative harnessing AI, machine learning and robotics to create intelligent systems for real-world interaction.
Current Work Themes
Motion Planning in Constrained Environments
Developing and implementing planning algorithms for robots operating in spaces with obstacles, other agents, and kinematic constraints. Focus on balancing optimality with computational tractability.
Multi-Agent Navigation
Thesis research on coordination strategies for multiple robots sharing workspace. Investigating how to scale planning to dozens of agents while maintaining safety guarantees.
Robot Manipulation
Hands-on work with robotic arms (Franka Panda, UR5e) for task execution, including:
- Path planning for manipulation tasks
- Collision avoidance in cluttered environments
- Integration of perception with planning
Areas of Study
- Artificial Intelligence & Machine Learning
- Motion Planning (A*, RRT*, PRM, MPC)
- Multi-Agent Systems
- Control Theory
- Perception Pipelines
Tools & Platforms
Python, ROS, Isaac Sim, highway-env, PyTorch, Planning libraries
Media
Simulation visualizations coming soon