Multi-UAV resource constrained online monitoring of large-scale spatio-temporal environment with homing guarantee. - Kshitij Tiwari; Sungmoon Jeong; Nak Young Chong (IECON, 2017)

Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration. - Kshitij Tiwari; Xuesu Xiao; Nak Young Chong (IROS, 2018)

Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I. - Kshitij Tiwari (CoRR, 2018)

Point-Wise Fusion of Distributed Gaussian Process Experts (FuDGE) Using a Fully Decentralized Robot Team Operating in Communication-Devoid Environment. - Kshitij Tiwari; Sungmoon Jeong; Nak Young Chong (IEEE Trans. Robotics, 2018)

ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. - Oliver Struckmeier; Kshitij Tiwari; Mohammed Salman; Martin J. Pearson; Ville Kyrki (CBS, 2019)

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. - Oliver Struckmeier; Kshitij Tiwari; Martin J. Pearson; Ville Kyrki (CoRR, 2019)

ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle. - Kshitij Tiwari; Xuesu Xiao; Ville Kyrki; Nak Young Chong (CoRR, 2019)

MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. - Oliver Struckmeier; Kshitij Tiwari; Shirin Dora; Martin J. Pearson; Sander M. Bohté; Cyriel M. A. Pennartz; Ville Kyrki (CoRR, 2019)

DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation. - Kshitij Tiwari; Ville Kyrki; Allen Cheung; Naohide Yamamoto (CoRR, 2020)

Unsupervised Learning of slow features for Data Efficient Regression. - Oliver Struckmeier; Kshitij Tiwari; Ville Kyrki (CoRR, 2020)

Monofilament whisker-based mobile robot navigation. - Rishabh Shukla; Prasanna Kumar Routray; Kshitij Tiwari; Steven M. LaValle; M. Manivannan 001 (WHC, 2021)

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. - Martin J. Pearson; Shirin Dora; Oliver Struckmeier; Thomas C. Knowles; Ben Mitchinson; Kshitij Tiwari; Ville Kyrki; Sander M. Bohté; Cyriel M. A. Pennartz (Frontiers Robotics AI, 2021)

Visibility-Inspired Models of Touch Sensors for Navigation. - Kshitij Tiwari; Basak Sakcak; Prasanna Kumar Routray; M. Manivannan 001; Steven M. LaValle (IROS, 2022)

Towards Multidimensional Textural Perception and Classification Through Whisker. - Prasanna Kumar Routray; Aditya Sanjiv Kanade; Kshitij Tiwari; Pauline Pounds; Manivannan Muniyandi (ROSE, 2022)

ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System. - Sathvika Kotha; Hrishikesh Viswanath; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

Graph-based Decentralized Task Allocation for Multi-Robot Target Localization. - Juntong Peng; Hrishikesh Viswanath; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System. - Anav Chaudhary; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems. - Dipam Patel; Phu Pham; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

MIRACLE: Inverse Reinforcement and Curriculum Learning Model for Human-inspired Mobile Robot Navigation. - Nihal Gunukula; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

Autoencoding slow representations for semi-supervised data-efficient regression. - Oliver Struckmeier; Kshitij Tiwari; Ville Kyrki (Mach. Learn., 2023)

Decentralized File Storage System. - Kshitij Tiwari; Namrata Dhanda; Rajat Verma (ICCCNT, 2024)

MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller. - Nishaant Shah; Kshitij Tiwari; Aniket Bera (CoRR, 2024)