5 citations · 20 across the 13 of their papers we have counts for
13 papers
HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System
Anav Chaudhary, Kshitij Tiwari, Aniket Bera
Training and preparing first responders and humanitarian robots for Mass Casualty Incidents (MCIs) often poses a challenge owing to the lack of realistic and easily accessible test…
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization
Juntong Peng, Hrishikesh Viswanath, Aniket Bera
We introduce a new graph neural operator-based approach for task allocation in a system of heterogeneous robots composed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehi…
ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System
Revanth Krishna Senthilkumaran, Mridu Prashanth, Hrishikesh Viswanath +3
Mass casualty incidents (MCIs) pose a significant challenge to emergency medical services by overwhelming available resources and personnel. Effective victim assessment is the key…
Towards Multidimensional Textural Perception and Classification Through Whisker
Prasanna Kumar Routray, Aditya Sanjiv Kanade, Pauline Pounds +1
Texture-based studies and designs have been in focus recently. Whisker-based multidimensional surface texture data is missing in the literature. This data is critical for robotics…
Visibility-Inspired Models of Touch Sensors for Navigation
Kshitij Tiwari, Basak Sakcak, Prasanna Routray +2
This paper introduces mathematical models of \sensors\ for mobile robots based on visibility. Serving a purpose similar to the pinhole camera model for computer vision, the introdu…
Autoencoding Slow Representations for Semi-supervised Data Efficient Regression
Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
The slowness principle is a concept inspired by the visual cortex of the brain. It postulates that the underlying generative factors of a quickly varying sensory signal change on a…
DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation
Kshitij Tiwari, Ville Kyrki, Allen Cheung +1
With the advent of consumer-grade products for presenting an immersive virtual environment (VE), there is a growing interest in utilizing VEs for testing human navigation behavior.…
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations
Oliver Struckmeier, Kshitij Tiwari, Shirin Dora +4
Extracting and binding salient information from different sensory modalities to determine common features in the environment is a significant challenge in robotics. Here we present…
ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle
Kshitij Tiwari, Xuesu Xiao, Ville Kyrki +1
This paper presents an approach for estimating the operational range for mobile robot exploration on a single battery discharge. Deploying robots in the wild usually requires unint…
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments
Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman +2
RatSLAM is a rat hippocampus-inspired visual Simultaneous Localization and Mapping (SLAM) framework capable of generating semi-metric topological representations of indoor and outd…
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson +1
In this work, we propose a novel, bio-inspired multi-sensory SLAM approach called ViTa-SLAM. Compared to other multisensory SLAM variants, this approach allows for a seamless multi…
Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration
Kshitij Tiwari, Xuesu Xiao, Nak Young Chong
Mobile robots are increasingly being used to assist with active pursuit and law enforcement. One major limitation for such missions is the resource (battery) allocated to the robot…
Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I
Kshitij Tiwari
This document serves to complement our website which was developed with the aim of exposing the students to Gaussian Processes (GPs). GPs are non-parametric Bayesian regression mod…