1 citations · 2 across the 2 of their papers we have counts for
7 papers
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…
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…