Laura I Galindez Olascoaga — accepted AI-conference papers

2023

Shared Control of Assistive Robots through User-intent Prediction and Hyperdimensional Recall of Reactive Behavior

Alisha Menon, Laura I. Galindez Olascoaga, Vamshi Balanaga, Anirudh Natarajan, Jennifer Ruffing, Ryan Ardalan +1

ICRA 2023poster

There is increasing interest in shared control for assistive robotics with adaptable levels of supervised autonomy. In this work, we present a user-adaptive multi-layer shared control scheme for control of assistive devices. The system leverages the advantages of brain-inspired hyperdimensional comp…

Cited by 6 Source ↗Scholar ↗

2022

On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks

Alisha Menon, Anirudh Natarajan, Laura I. Galindez Olascoaga, Youbin Kim, Braeden Benedict, Jan M. Rabaey

ICRA 2022poster

Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that operates on pseudo-random hypervectors, an information-rich, hardware-efficient representation that is robust to noise and facilitates learning with limited training data. This work explores how robot navigation tasks can l…

Cited by 13 Source ↗Scholar ↗

2019

Towards Hardware-Aware Tractable Learning of Probabilistic Models

Laura I Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck

NeurIPS 2019poster

Smart portable applications increasingly rely on edge computing due to privacy and latency concerns. But guaranteeing always-on functionality comes with two major challenges: heavily resource-constrained hardware; and dynamic application conditions. Probabilistic models present an ideal solution to…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗