no code implementations • 22 Feb 2024 • Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki
Bimanual handovers are crucial for transferring large, deformable or delicate objects.
no code implementations • 27 Nov 2023 • Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
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.
no code implementations • 22 Oct 2022 • Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
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).
no code implementations • 10 May 2020 • Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick
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.
no code implementations • 23 Dec 2018 • Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick
Monocular SLAM refers to using a single camera to estimate robot ego motion while building a map of the environment.
Robotics
no code implementations • 23 Dec 2018 • Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick
The proposed method results in better depth images and pose estimates, which capture the scene structure and motion in a better way.
no code implementations • 20 Dec 2018 • Vignesh Prasad, Brojeshwar Bhowmick
We propose a method using Epipolar constraints to make the learning more geometrically sound.