29 citations · 33 across the 9 of their papers we have counts for
11 papers
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P. K. Poudel, Harit Pandya, Stephan Liwicki +1
While recent model-free Reinforcement Learning (RL) methods have demonstrated human-level effectiveness in gaming environments, their success in everyday tasks like visual navigati…
LanGWM: Language Grounded World Model
Rudra P. K. Poudel, Harit Pandya, Chao Zhang +1
Recent advances in deep reinforcement learning have showcased its potential in tackling complex tasks. However, experiments on visual control tasks have revealed that state-of-the-…
MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves
Pranjali Pathre, Anurag Sahu, Ashwin Rao +5
In this paper, we propose and showcase, for the first time, monocular multi-view layout estimation for warehouse racks and shelves. Unlike typical layout estimation methods, MVRack…
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra P. K. Poudel, Harit Pandya, Roberto Cipolla
In this paper we present a world model, which learns causal features using the invariance principle. In particular, we use contrastive unsupervised learning to learn the invariant…
Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises
Harshit K. Sankhla, M. Nomaan Qureshi, Shankara Narayanan V. +4
We propose a novel flow synthesis based visual servoing framework enabling long-range obstacle avoidance for Micro Air Vehicles (MAV) flying amongst tall skyscrapers. Recent deep l…
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…
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
Philipp Becker, Harit Pandya, Gregor Gebhardt +3
In order to integrate uncertainty estimates into deep time-series modelling, Kalman Filters (KFs) (Kalman et al., 1960) have been integrated with deep learning models, however, suc…
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…