Research @ DRS
Our research spans legged locomotion, perception, navigation and manipulation. Here’s a closer look at some of the work going on in Dynamic Robot Systems.
Research Project Pages
- Visual Inertial Legged Navigation System: Our VILENS system fuses legged (quadruped) robot sensing with camera images and inertial sensing to achieve reliable and low drift tracking.
- LIDAR SLAM: Our LIDAR System, called AICP, can build large scale 3D models including loop closure and pose graph smoothing. The system requires only 2 CPUs of a low power computer such as those running on our ANYmal robot.
- DARPA Robotics Challenge: This multi-year competition brings together collaborators from Europe (ETH, Flyability) and America (U. Nevada, SNC, Berkeley) to build a team of robots for exploring underground mines, caves and urban facilities.
- Active Mapping: Research into next-best-view active inspection with our ANYmal robot.
- Global LIDAR Localization: Our LIDAR Localisation system, called Efficient Segment Matching System (ESM). It uses deep learning to match point cloud segments while only requiring a CPU for run-time operation.
Videos and Open Source Software