Tagged with
The X20 robot dog can perform automatic inspection tasks according to the preset path and tasks. During the inspection, the robot uses LiDAR and depth cameras to detect the terrain, and has the ability to turn around, climb stairs, and obstacle avoidance.
3 minutes read
Advanced mobility and modular functions allow complex moves such as front flipping.
3 minutes read
With the flexibility to deliver unmanned detection and rescue services, Jueying X20 is designed for the complex terrain of a post-earthquake landscape, the insides of vulnerable debris buildings, tunnel traffic accidents, and in toxic, hypoxia, and high-density smoke environments created by chemical pollution or disaster event.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
DEEP Robotics recently released its newest robotics technique, which is autonomous coordinated multi-robot exploration; the experiment is operated under a 3,000 m2 unknown environment with five Jueying X20 robot dogs.
2 minutes read
Aaron Johnson’s Robomechanics Lab has developed an open-source software that enables more agile movement in legged robots.
3 minutes read
ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.
3 minutes read
