English: listening、speaking、reading、writing、translation
1. Feeling tired, perhaps you are in the life the uphill road. Keep walking, you will find that reached the another height.
2. The ability to be alone is the condition for the ability to love.
3. Say to yourself: Regardless of what the obstacles in this life may be, I will run my race to the best of my ability.
4. No matter what you want to do with your life, you’ll need an education to do it.
5. You want to be a doctor, or a teacher, or a police officer? You want to be a nurse or an architect, a lawyer or a member of our military? You’re going to need a good education for every single one of those careers. You cannot drop out of school and just drop into a good job. You’ve got to train for it and work for it and learn for it.
6. And this isn’t just important for your own life and your own future. What you make of your education will decide nothing less than the future of this country. The future of America depends on you. What you’re learning in school today will determine whether we as a nation can meet our greatest challenges in the future.
7. And this isn’t just important for your own life and your own future. What you make of your education will decide nothing less than the future of this country. The future of America depends on you. What you’re learning in school today will determine whether we as a nation can meet our greatest challenges in the future.
8. It would not be much of a universe if it wasn’t home to the people you love.
9. Not everything is meant to be. But everything is worth a try.
10. Optimism is the faith that leads to achievement. Nothing can be done without hope and confidence.
paper
1. Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning （https://arxiv.org/abs/1710.02543）
（https://arxiv.org/pdf/1710.02543v2.pdf）
Abstract:
We present an approach for mobile robots to learn to navigate in dynamic environments with pedestrians via raw depth inputs, in a socially compliant manner. To achieve this, we adopt a generative adversarial imitation learning (GAIL) strategy, which improves upon a pre-trained behavior cloning policy. Our approach overcomes the disadvantages of previous methods, as they heavily depend on the full knowledge of the location and velocity information of nearby pedestrians, which not only requires specific sensors, but also the extraction of such state information from raw sensory input could consume much computation time. In this paper, our proposed GAIL-based model performs directly on raw depth inputs and plans in real-time. Experiments show that our GAIL-based approach greatly improves the safety and efficiency of the behavior of mobile robots from pure behavior cloning. The real-world deployment also shows that our method is capable of guiding autonomous vehicles to navigate in a socially compliant manner directly through raw depth inputs. In addition, we release a simulation plugin for modeling pedestrian behaviors based on the social force model.ECE 5463 Introduction to Robotics
1. ROS Tutorial Lecture 1 (http://www2.ece.ohio-state.edu/~zhang/RoboticsClass/docs/ECE5463_ROSTutorialLecture1.pdf)
2. ROS Tutorial Lecture 2 (http://www2.ece.ohio-state.edu/~zhang/RoboticsClass/docs/ECE5463_ROSTutorialLecture2.pdf)
3. ROS Tutorial Lecture 3 (http://www2.ece.ohio-state.edu/~zhang/RoboticsClass/docs/ECE5463_ROSTutorialLecture3.pdf)
ROBOT OPERATING SYTEM 2.0 TUTORIALS (ROS 2.0) (https://erlerobotics.com/blog/robot-operating-sytem-2-0-tutorials-ros-2-0/)
1. ROS 2.0 tutorials in english (http://docs.erlerobotics.com/robot_operating_system/ros2)
It provides the services you would expect from an operating system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-passing between processes, and package management. It also provides tools and libraries for obtaining, building, writing, and running code across multiple computers. A ROS system is comprised of a number of independent nodes, each of which communicates with the other nodes using a publish/subscribe messaging model.
- Teams of multiple robots
- Small embedded and deep embedded platforms either microcontroller or microprocessor-based.
- Real-time systems
- Non-ideal networks
- Production environments
- Prescribed patterns for building and structuring systems
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+-----------------------------------------------+| user land |+-----------------------------------------------+| ROS 2 client library (rcl) |+-----------------------------------------------+| middleware interface (rmw) |+-----------------------------------------------+| DDS adapter 1 | DDS adapter 2 | DDS adapter 3 |+---------------+---------------+---------------+| DDS impl 1 | DDS impl 2 | DDS impl 3 |+---------------+---------------+---------------+