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20172021
most citedBalancing a CartPole System with Reinforcement Learning -- A Tutorial

17 citations · 41 across the 6 of their papers we have counts for

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cs.RO2020

Chitrakar: Robotic System for Drawing Jordan Curve of Facial Portrait

Aniruddha Singhal, Ayush Kumar, Shivam Thukral +2

This paper presents a robotic system (\textit{Chitrakar}) which autonomously converts any image of a human face to a recognizable non-self-intersecting loop (Jordan Curve) and draw…

cs.RO2020

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…

cs.RO202017 cited

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…

cs.RO2019

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…

cs.RO2018

Optimized edge-based grasping method for a cluttered environment

Olyvia Kundu, Swagat Kumar

This paper looks into the problem of grasping region localization along with suitable pose from a cluttered environment without any a priori knowledge of the object geometry. This…

cs.RO2018

A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment

Olyvia Kundu, Swagat Kumar

This paper looks into the problem of grasping unknown objects in a cluttered environment using 3D point cloud data obtained from a range or an RGBD sensor. The objective is to iden…