Here we show an integrated workflow that combines robotics and machine learning to accelerate the discovery of all-natural plastic substitutes with programmable optical, thermal and mechanical properties. First,
reinforcement learning has been used to solve various challenging problems in legged robot locomotion; however, the optimal control of quadruped robot requires optimizing multiple objectives such as keeping balance, improving efficiency, realizing periodic gait and following commands. These objectives cannot ...
Research in machine learning (ML)-assisted surgical robotics aims to improve camera control and autonomous navigation. Wagner et al. developed a laparoscopic surgery camera system that learned from experience, showing improved execution time and guidance quality. Kim et al. focus on autonomously ...
Machine learning is a major area of interest within the field of artificial intelligence, playing a pivotal role in the process of making construction “smart”. The application of machine learning in construction has the potential to open up an array of opportunities such as site supervision, ...
intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers....
《Underactuated Robotics》 介绍:MIT的Underactuated Robotics于 2014年10月1日开课,该课属于MIT研究生级别的课程,对机器人和非线性动力系统感兴趣的朋友不妨可以挑战一下这门课程! 《mllib实践经验(1)》 介绍:mllib实践经验分享 《Google Turns To Deep Learning Classification To Fight Web Spam》 介绍:Google用...
http://roboticsproceedings.org/rss15/p31.pdf 在上图中,青色路径描绘了输入路线,绿色框是自动驾驶汽车,蓝点是智能体过去的路线或位置,绿点是预测的未来路线或位置。 本质上,中级表示不直接使用原始传感器数据作为输入,将感知任务分解出来,因此我们可以将真实数据和模拟数据结合起来,以便更轻松地进行迁移学习。这样,网...
Reinforcement learning In reinforcement learning, the algorithm gets to choose an action in response to each data point. It is a common approach in robotics, where the set of sensor readings at one point in time is a data point, and the algorithm must choose the robot’s next action. It'...
Besides this, he is finishing his Masters degree in Machine Learning and NLP. He is also very interested in the research and application of Robotics, Quantum Computing, and Cognitive Modeling. Not only is he a technology enthusiast and science fiction lover (geek) but also a big fan of arts...
Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesi