Search Results for author:
Found 7 papers, 0 papers with code
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
Bimanual handovers are crucial for transferring large, deformable or delicate objects.
Learning Multimodal Latent Dynamics for Human-Robot Interaction
The generated robot motions are further adapted with Inverse Kinematics to ensure the desired physical proximity with a human, combining the ease of joint space learning and accurate task space reachability.
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human's actions and intentions is critical for efficient and effective collaborative Human-Robot Interactions (HRI).
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering
Since we wish to efficiently discriminate between different clusters in the data, we propose a method based on VAEs where we use a Gaussian Mixture prior to help cluster the images accurately.
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences
The proposed method results in better depth images and pose estimates, which capture the scene structure and motion in a better way.
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
Monocular SLAM refers to using a single camera to estimate robot ego motion while building a map of the environment.
Robotics
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints
We propose a method using Epipolar constraints to make the learning more geometrically sound.
