17 citations · 24 across the 5 of their papers we have counts for
7 papers
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
Madhu Vankadari, Sourav Garg, Anima Majumder +2
In this paper, we look into the problem of estimating per-pixel depth maps from unconstrained RGB monocular night-time images which is a difficult task that has not been addressed…
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
Richa Verma, Aniruddha Singhal, Harshad Khadilkar +5
We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving the online 3D bin packing problem for an arbitrary number of bins and any bin size. The focus is on produci…
Balancing a CartPole System with Reinforcement Learning -- A Tutorial
Swagat Kumar
In this paper, we provide the details of implementing various reinforcement learning (RL) algorithms for controlling a Cart-Pole system. In particular, we describe various RL conce…
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
Sourav Garg, Madhu Babu, Thanuja Dharmasiri +5
Visual place recognition (VPR) - the act of recognizing a familiar visual place - becomes difficult when there is extreme environmental appearance change or viewpoint change. Parti…
UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling
Madhu Babu, Swagat Kumar, Anima Majumder +1
In this paper, we provide an improved version of UnDEMoN model for depth and ego motion estimation from monocular images. The improvement is achieved by combining the standard bi-l…
Managing a Fleet of Autonomous Mobile Robots (AMR) using Cloud Robotics Platform
Aniruddha Singhal, Nishant Kejriwal, Prasun Pallav +3
In this paper, we provide details of implementing a system for managing a fleet of autonomous mobile robots (AMR) operating in a factory or a warehouse premise. While the robots ar…