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Found 6 papers, 6 papers with code
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
A synthetic multi-modal dataset is made public to validate the generalization ability of the proposed fusion strategy, which also works for other combinations of different modalities.
Learning Bipedal Walking for Humanoids with Current Feedback
Recent advances in deep reinforcement learning (RL) based techniques combined with training in simulation have offered a new approach to developing robust controllers for legged robots.
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.
The 3D Linear Inverted Pendulum Mode : A simple modeling for a biped walking pattern generation
For 3D walking control of a biped robot we analyse the dynamics of a three dimensional inverted pendulum in which motion is constrained to move along an arbitrarily defined plane.
