Search Results for author:
Found 3 papers, 3 papers with code
Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations
In many robotic applications, the environment setting in which the 6-DoF pose estimation of a known, rigid object and its subsequent grasping is to be performed, remains nearly unchanging and might even be known to the robot in advance.
Learning Bipedal Walking On Planned Footsteps For Humanoid Robots
To enable the application of RL policies for humanoid robots in real-world settings, it is crucial to build a system that can achieve robust walking in any direction, on 2D and 3D terrains, and be controllable by a user-command.
Rapid Pose Label Generation through Sparse Representation of Unknown Objects
The sparse representation leads to the development of a dense model and the pose labels for each image frame in the set of scenes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
