Search Results for author: Ruddra dev Roychoudhury

Found 5 papers, 0 papers with code

MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation

no code implementations7 Nov 2024 Sayan Paul, Ruddra dev Roychoudhury, Brojeshwar Bhowmick

It consists of a training-free action-prior based geometric VO module that estimates a coarse relative pose which is further consumed as a motion prior by a deep-learned VO model, which finally produces a fine relative pose to be used by the navigation policy.

PointGoal Navigation Visual Odometry

Object Goal Navigation Based on Semantics and RGB Ego View

no code implementations20 Oct 2022 Snehasis Banerjee, Brojeshwar Bhowmick, Ruddra dev Roychoudhury

This paper presents an architecture and methodology to empower a service robot to navigate an indoor environment with semantic decision making, given RGB ego view.

Decision Making Navigate

Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation

no code implementations27 Aug 2022 D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna

This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random starting position.

Bayesian Inference Object +2

DoRO: Disambiguation of referred object for embodied agents

no code implementations28 Jul 2022 Pradip Pramanick, Chayan Sarkar, Sayan Paul, Ruddra dev Roychoudhury, Brojeshwar Bhowmick

Given an area where the intended object is, DoRO finds all the instances of the object by aggregating observations from multiple views while exploring & scanning the area.

Natural Language Understanding Object

A Perspective on Robotic Telepresence and Teleoperation using Cognition: Are we there yet?

no code implementations6 Mar 2022 Hrishav Bakul Barua, Ashis Sau, Ruddra dev Roychoudhury

Telepresence and teleoperation robotics have attracted a great amount of attention in the last 10 years.

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