---
layout: page
title: Prompt-Driven Visuomotor Grasping 
description: Grasping basic objects with the NICO robot with initial and target images as input, provided a description of the object that should be grasped.  
img: https://raw.githubusercontent.com/fabawi/wrapyfi/main/assets/wrapyfi.png
importance: 3
category: work
related_publications: kerzel2019neurocognitive,abawi2020augmented
---

We present a biologically inspired neural model for the robotic tasks of object identification, localization, and motor action regression. The model is designed for: 1) Enabling a robot to reach objects in a three-dimensional space as this is a required ability for many real-world robotic applications; 2) Addressing the influence of imbalances in the training data on possible biases in the model’s behavior; 3) Evaluating the model’s performance on the auxiliary tasks of object localization and identification. We examine the effect of training these auxiliary tasks, along with the main task of reaching for an object, to gain a better understanding of the model’s performance and observe possible synergetic effects of learning the three tasks simultaneously.