Hey everyone,
Sorry, I forgot to introduce myself.
I am currently pursuing my Master's in Robotics from NUST Pakistan and working in the research area of Reinforcement Learning. I have a strong background in Deep Learning, RL, Comp Vision, and Robotics. Also, have experience implementing Reinforcement Learning papers as well in PyTorch/OpenAI Gym.
Regarding the project, I am specifically interested in the project titled: Deep Reinforcement Learning for precise robot grasping and object manipulation. By chance, I already have done a literature review of recent research papers and approaches on this project 1-2 months back. Therefore, I am very excited to apply for this project.
These days, I am exploring the robocomp's codebase and last work related to this project.
Any suggestions or reading material is welcome :)
Thank you.
robocomp-robolab/components
? I am a little confused about that since LearnBlock contains learnbot_dsl/components
, but previously GSoC students added components in robocomp-robolab/components
for eg, emotionrecognition. Any resource regarding LearnBlock will also be helpful.
I have a doubt regarding LearnBlock that does it uses
robocomp-robolab/components
? I am a little confused about that since LearnBlock containslearnbot_dsl/components
, but previously GSoC students added components inrobocomp-robolab/components
for eg, emotionrecognition. Any resource regarding LearnBlock will also be helpful.
The main idea is to put in robocomp-robolab any component that could be useful for more than one project. And keep the components tightly related to a project in their own components folder and repository...