Author

OhmniLabs

Browsing

Deep learning is a powerful tool when applied to robotics. This article discusses how OhmniLabs uses deep learning for autodocking calibration in its telepresence robot. The Ohmni robot has the capability of finding its docking station and moving to that station for recharging. Calibration between the camera image and the robot coordinates in the real world is an important step of autodocking. In order to function properly, we first have to find some keypoints of…

In the field of robotics, there are functionally endless possibilities for robot design. Yet many robots tend to fall into a few different categories, with human-scale robots being a common choice. Human-scale robots are approximately the same size, and sometimes the same shape, as humans, and they are some of the most popular robot design templates. Why is this the case? And what benefits do human-scale robots have over robots of other scales? Let’s examine…