Tag: Master thesis topic
Master thesis on “Efficient learning of task-specific trajectories from demonstrations”
The goal of this thesis is to increase the efficiency of reinforcement learning when limited number of examples is available by providing a method of obtaining a large number task-specific trajectories from only a few demonstrations.
Master thesis on “Reinforcement learning with kernelized movement primitives”
The goal of this thesis is to integrate KMP with reinforcement learning to provide an automatic adaptation approach to adapt the trajectory and goal in order to optimize a desired task.
Master Thesis on “Reinforcement Learning and Graph Neural Networks for deformable object manipulation”
This thesis will focus on how to combine RL methods with Graph Neural Networks for solving cloth manipulation tasks.
Master Thesis on “Real2Sim Transfer for Cloth Manipulation”
This thesis will focus on proposing principled ways to increase the fidelity of cloth simulations using real-world observations from different types/sizes of cloths.
Master Thesis on “Emergency Corridor Building by Autonomous Vehicles”
In this thesis, model predictive control-based emergency corridor building algorithms will be developed for autonomous vehicles in simulation. In this context, the thesis is expected to include varying simulated scenarios in terms of lane numbers, autonomous/human drivers amount, road types, traffic densities.
Master thesis on “Hybrid learning and control for human-robot interaction: an imitation learning perspective”
The goal of this project is to exploit more comprehensive information from humans, in order to learn as many skill patterns from humans as possible according to the tasks at hand.
Master thesis on “People flow maps for indoor robot navigation”
This thesis goal is to develop a probabilistic approach for building and updating people flow maps able to help the robot being socially-aware while navigating by predicting people movement.