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ORCIDKshitij Tiwari
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2020 – today
- 2024
[i15]Nishaant Shah, Kshitij Tiwari, Aniket Bera:
MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller. CoRR abs/2401.03337 (2024)- 2023
- [j3]Oliver Struckmeier
, Kshitij Tiwari, Ville Kyrki:
Autoencoding slow representations for semi-supervised data-efficient regression. Mach. Learn. 112(7): 2297-2315 (2023) - [i14]Sathvika Kotha, Hrishikesh Viswanath, Kshitij Tiwari, Aniket Bera:
ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System. CoRR abs/2309.08865 (2023) - [i13]Juntong Peng, Hrishikesh Viswanath, Kshitij Tiwari, Aniket Bera:
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization. CoRR abs/2309.08896 (2023) - [i12]Anav Chaudhary, Kshitij Tiwari, Aniket Bera:
HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System. CoRR abs/2309.14508 (2023) - [i11]Dipam Patel, Phu Pham, Kshitij Tiwari, Aniket Bera:
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems. CoRR abs/2309.17433 (2023) - [i10]Nihal Gunukula, Kshitij Tiwari, Aniket Bera:
MIRACLE: Inverse Reinforcement and Curriculum Learning Model for Human-inspired Mobile Robot Navigation. CoRR abs/2312.03651 (2023) - 2022
- [c6]Kshitij Tiwari, Basak Sakcak, Prasanna Kumar Routray, M. Manivannan, Steven M. LaValle:
Visibility-Inspired Models of Touch Sensors for Navigation. IROS 2022: 13151-13158 - [c5]Prasanna Kumar Routray, Aditya Sanjiv Kanade, Kshitij Tiwari, Pauline Pounds, Manivannan Muniyandi:
Towards Multidimensional Textural Perception and Classification Through Whisker. ROSE 2022: 1-7 - [i9]Kshitij Tiwari, Basak Sakcak, Prasanna Kumar Routray, Manivannan M., Steven M. LaValle:
Visibility-Inspired Models of Touch Sensors for Navigation. CoRR abs/2203.04751 (2022) - 2021
- [j2]Martin J. Pearson, Shirin Dora, Oliver Struckmeier, Thomas C. Knowles, Ben Mitchinson, Kshitij Tiwari, Ville Kyrki, Sander M. Bohté, Cyriel M. A. Pennartz:
Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers Robotics AI 8: 732023 (2021) - [c4]Rishabh Shukla, Prasanna Kumar Routray, Kshitij Tiwari, Steven M. LaValle, M. Manivannan:
Monofilament whisker-based mobile robot navigation. WHC 2021: 1150 - 2020
- [i8]Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto:
DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation. CoRR abs/2003.03133 (2020) - [i7]Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki:
Unsupervised Learning of slow features for Data Efficient Regression. CoRR abs/2012.06279 (2020)
2010 – 2019
- 2019
- [c3]Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CBS 2019: 97-103 - [i6]Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. CoRR abs/1904.05667 (2019) - [i5]Kshitij Tiwari, Xuesu Xiao, Ville Kyrki, Nak Young Chong:
ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle. CoRR abs/1905.12559 (2019) - [i4]Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CoRR abs/1906.06422 (2019) - [i3]Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki:
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. CoRR abs/1909.07201 (2019) - 2018
- [j1]Kshitij Tiwari, Sungmoon Jeong, Nak Young Chong:
Point-Wise Fusion of Distributed Gaussian Process Experts (FuDGE) Using a Fully Decentralized Robot Team Operating in Communication-Devoid Environment. IEEE Trans. Robotics 34(3): 820-828 (2018) - [c2]Kshitij Tiwari, Xuesu Xiao, Nak Young Chong:
Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration. IROS 2018: 3991-3998 - [i2]Kshitij Tiwari:
Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I. CoRR abs/1809.01913 (2018) - [i1]Kshitij Tiwari, Xuesu Xiao, Nak Young Chong:
Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration. CoRR abs/1811.03159 (2018) - 2017
- [c1]Kshitij Tiwari, Sungmoon Jeong, Nak Young Chong:
Multi-UAV resource constrained online monitoring of large-scale spatio-temporal environment with homing guarantee. IECON 2017: 5893-5900
Coauthor Index
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