no code implementations • 6 Dec 2023 • Nihal Gunukula, Kshitij Tiwari, Aniket Bera
In emergency scenarios, mobile robots must navigate like humans, interpreting stimuli to locate potential victims rapidly without interfering with first responders.
no code implementations • 1 Nov 2023 • Nishaant Shah, Kshitij Tiwari, Aniket Bera
Urban search and rescue missions require rapid first response to minimize loss of life and damage.
no code implementations • 29 Sep 2023 • Dipam Patel, Phu Pham, Kshitij Tiwari, Aniket Bera
This paper introduces DREAM - Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems, a comprehensive framework that optimizes the allocation of resources for efficient exploration.
no code implementations • 4 Mar 2022 • Kshitij Tiwari, Basak Sakcak, Prasanna Routray, Manivannan M., Steven M. LaValle
This paper introduces mathematical models of \sensors\ for mobile robots based on visibility.
no code implementations • 11 Dec 2020 • Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
We find that slow representations lead to equal or better downstream task performance and data efficiency in different experiment domains when compared to representations without slowness regularization.
1 code implementation • 6 Mar 2020 • Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto
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.
no code implementations • 16 Sep 2019 • Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohte, Cyriel MA Pennartz, Ville Kyrki
Extracting and binding salient information from different sensory modalities to determine common features in the environment is a significant challenge in robotics.
no code implementations • 14 Jun 2019 • Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki
RatSLAM is a rat hippocampus-inspired visual Simultaneous Localization and Mapping (SLAM) framework capable of generating semi-metric topological representations of indoor and outdoor environments.
Robotics
no code implementations • 6 Sep 2018 • Kshitij Tiwari
The objective of this handout and in turn the website was to allow the users to develop stand-alone GPs in Python by relying on minimal external dependencies.