GSoC Participation History
Technologies
Topics
Past Projects
Reinforcement Learning for pick and place operations
Reinforcement learning is an established discipline for the automatic acquisition of control programs from a reward signal. Some early limitations...
Extending the Social Navigation component to realistic scenarios
Socially aware path planning enables a robot to navigate through a crowded environment causing the least amount of discomfort to the surrounding...
Model Predictive Control for obstacle avoidance
I am proposing the use of Convex Inner Approximations to plan the trajectories. The Convex Inner Approximation method finds kinodynamically feasible...
Self-Adaptive controller for path following
Self-adaptation is a key ability for future autonomous robots. Thanks to this capability, a robot is able to automatically adapt to changes during...
Reinforcement Learning for pick and place operations
The aim of the project is to train a optimal controller using Deep Reinforcement Learning for pick and place operations. The agent improves from a...
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