29 citations · 30 across the 4 of their papers we have counts for
5 papers · 1 filter
DeepMPCVS: Deep Model Predictive Control for Visual Servoing
Pushkal Katara, Y V S Harish, Harit Pandya +5
The simplicity of the visual servoing approach makes it an attractive option for tasks dealing with vision-based control of robots in many real-world applications. However, attaini…
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Vaisakh Shaj, Philipp Becker, Dieter Buchler +5
Estimating accurate forward and inverse dynamics models is a crucial component of model-based control for sophisticated robots such as robots driven by hydraulics, artificial muscl…
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
Y V S Harish, Harit Pandya, Ayush Gaud +3
Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and someti…
Combining Method of Alternating Projections and Augmented Lagrangian for Task Constrained Trajectory Optimization
Arun Kumar Singh, Reza Ghabcheloo, Andreas Muller +1
Motion planning for manipulators under task space constraints is difficult as it constrains the joint configurations to always lie on an implicitly defined manifold. It is possible…
Exploring Convolutional Networks for End-to-End Visual Servoing
Aseem Saxena, Harit Pandya, Gourav Kumar +2
Present image based visual servoing approaches rely on extracting hand crafted visual features from an image. Choosing the right set of features is important as it directly affects…