There are numerous barriers in robotic surgical training, including reliance on observational learning, low-quality feedback, and inconsistent assessment. Artificial intelligence (AI) offers potential solutions to these central problems in robotic surgical education and may allow for more efficient and effi...
In the world of tomorrow, robots and AI will play an increasingly important role. At this year's Global Mobile Internet Conference (GMIC), major industry players set out their vision of the future. In the world of tomorrow, robots and artificial intelligence (AI) will play an increasingly im...
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. python machine-learning awesome robot cplusplus cpp robotics mapping aerospace point-cloud artificial-intelligence ros lidar self-driving-car awesome-list automotive slam autonomous-driving...
Based on the experimental results, we conclude that the issue of shape-in variance is of critical importance for future work.Eric Krotkov14th International Joint Conference on Artificial Intelligence (IJCAI-95)
Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception model is more suitable for gas intelligence evaluation and has higher accuracy due to the good learning ability and accuracy of the deep neural network. ... W Cao - 《Scientific Programming》 被引量: ...
Using robots as actuators, multi-source sensors for perception, and Artificial Intelligence (AI) as decision-making systems, they can perform routine manufacturing tasks, surpassing the capabilities of traditional hard-programmed Computer Numerical Control (CNC) machinery. One specific challenge in ...
The classic way of thinking about robot architecture is as a perception-planning-action pipeline. We divided the work up in slightly different chunks, which corresponded to behaviours: Detection(find the lettuces and output their 2D screen coordinates) ...
One project I am quite excited about is our ShanghaiTech Mapping Robot. This robot has a sensor-suite never before seen on a mobile robot – in terms of number of sensors and the amount of data collected. Those datasets ...
Tai, L., & Liu, M. (2016). Deep-learning in mobile robotics-from perception to control systems: A survey on why and why not. arXiv preprintarXiv:1612.07139. Tai, L., Zhang, J., Liu, M., Boedecker, J., & Burgard, W. (2016). A survey of deep network solutions for learning ...
24 The progress in 3D printing technology, coupled with polymer research and Artificial Intelligence (AI), tangible reproductions of organs or systems will empower surgeons to make more informed decisions, elevate their planning processes, and refine their tactile perception of anatomical attributes, enco...