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Kevin Lynch's book is free and very good: http://hades.mech.northwestern.edu/index.php/Modern_Robotics http://hades.mech.northwestern.edu/index.php/Modern_Robot

Kevin Lynch's book is free and very good: http://hades.mech.northwestern.edu/index.php/Modern_Robotics http://hades.mech.northwestern.edu/index.php/Modern_Robotics - someone already mentioned his course. The Robotics resources and texts by Peter Corke are good: https://petercorke.com/ https://petercorke.com/ -also has this good related course: https://robotacademy.net.au/ https://robotacademy.net.au/ "Controls Engineering in the FIRST Robotics Competition" by Tyler Veness is free and a good short reference: https://controls-in-frc.link/ https://controls-in-frc.link/ Also add the MIT Robotics Series books: https://mitpress.mit.edu/series/intelligent-robotics-and-autonomous-agents-series/ https://mitpress.mit.edu/series/intelligent-robotics-and-aut... Algorithms for Decision Making is free and awesome: https://algorithmsbook.com/ https://algorithmsbook.com/ Also looks really good (MIT Press hardcopy): https://introduction-to-autonomous-robots.github.io/ https://introduction-to-autonomous-robots.github.io/

vinte 4y ago
Thanks, what about resourses for reinforcement learning in robotics.
- cashsterling 4y ago
  I'd say RL is an advanced robotics topic. There are some books out there that cover introductory or general RL aspects... after that you'll have to dive into papers and specific code bases. Might not be a bad idea to start with a Python-based, practical RL book and move from practical demonstrations towards theory. Although not an RL book, I really like Data-Driven Science and Engineering by Brunton and Kutz: - https://www.databookuw.com/ https://www.databookuw.com/ - https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical-dp-1009098489/dp/1009098489/ref=dp_ob_title_bk https://www.amazon.com/Data-Driven-Science-Engineering-Learn... Steve Brunton also has an awesome youtube channel on dynamic systems, control, and machine learning. Robotic books with some RL concepts (don't have either of these tbh): - https://introduction-to-autonomous-robots.github.io/ https://introduction-to-autonomous-robots.github.io/ - https://mitpress.mit.edu/9780262046169/learning-for-adaptive-and-reactive-robot-control/ https://mitpress.mit.edu/9780262046169/learning-for-adaptive... General texts/resources on adaptive control, optimal control, and RL: - https://arxiv.org/abs/1912.03513 https://arxiv.org/abs/1912.03513 - http://www.cs.cmu.edu/~cga/dynopt/ http://www.cs.cmu.edu/~cga/dynopt/ - http://www.mit.edu/~dimitrib/RLbook.html http://www.mit.edu/~dimitrib/RLbook.html Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition by John Betts: - https://my.siam.org/Store/Product/viewproduct/?ProductId=31657301 https://my.siam.org/Store/Product/viewproduct/?ProductId=316... Adaptive Control Tutorial by Ioannou and Fidan - https://mitpress.mit.edu/9780262039246/reinforcement-learning/ https://mitpress.mit.edu/9780262039246/reinforcement-learnin... Control Systems and Reinforcement Learning by Sean Meyn looks to be on topic but I haven't read through it.
  - vinte 4y ago
    Thanks for the list.

vinte 4y ago

Thanks, what about resourses for reinforcement learning in robotics.

cashsterling 4y ago
I'd say RL is an advanced robotics topic. There are some books out there that cover introductory or general RL aspects... after that you'll have to dive into papers and specific code bases. Might not be a bad idea to start with a Python-based, practical RL book and move from practical demonstrations towards theory. Although not an RL book, I really like Data-Driven Science and Engineering by Brunton and Kutz: - https://www.databookuw.com/ https://www.databookuw.com/ - https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical-dp-1009098489/dp/1009098489/ref=dp_ob_title_bk https://www.amazon.com/Data-Driven-Science-Engineering-Learn... Steve Brunton also has an awesome youtube channel on dynamic systems, control, and machine learning. Robotic books with some RL concepts (don't have either of these tbh): - https://introduction-to-autonomous-robots.github.io/ https://introduction-to-autonomous-robots.github.io/ - https://mitpress.mit.edu/9780262046169/learning-for-adaptive-and-reactive-robot-control/ https://mitpress.mit.edu/9780262046169/learning-for-adaptive... General texts/resources on adaptive control, optimal control, and RL: - https://arxiv.org/abs/1912.03513 https://arxiv.org/abs/1912.03513 - http://www.cs.cmu.edu/~cga/dynopt/ http://www.cs.cmu.edu/~cga/dynopt/ - http://www.mit.edu/~dimitrib/RLbook.html http://www.mit.edu/~dimitrib/RLbook.html Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition by John Betts: - https://my.siam.org/Store/Product/viewproduct/?ProductId=31657301 https://my.siam.org/Store/Product/viewproduct/?ProductId=316... Adaptive Control Tutorial by Ioannou and Fidan - https://mitpress.mit.edu/9780262039246/reinforcement-learning/ https://mitpress.mit.edu/9780262039246/reinforcement-learnin... Control Systems and Reinforcement Learning by Sean Meyn looks to be on topic but I haven't read through it.
- vinte 4y ago
  Thanks for the list.