Visuo-Haptic Object Perception for Robots: An Overview
Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski, Lorenzo Jamone
In Autonomous Robots, Springer, volume 47, pages 27-27, Mar/2023.
The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop
solutions with a similar proficiency in autonomous robots. While there have been notable advancements in the technologies
for artificial vision and touch, the effective integration of these two sensory modalities in robotic applications still needs to
be improved, and several open challenges exist. Taking inspiration from how humans combine visual and haptic perception
to perceive object properties and drive the execution of manual tasks, this article summarises the current state of the art of
visuo-haptic object perception in robots. Firstly, the biological basis of human multimodal object perception is outlined. Then,
the latest advances in sensing technologies and data collection strategies for robots are discussed. Next, an overview of the
main computational techniques is presented, highlighting the main challenges of multimodal machine learning and presenting
a few representative articles in the areas of robotic object recognition, peripersonal space representation and manipulation.
Finally, informed by the latest advancements and open challenges, this article outlines promising new research directions