Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments
Ignacio de Loyola P\'aez-Ubieta, Julio Casta\~no-Amor\'os, Santiago T., Puente, Pablo Gil

TL;DR
This paper presents a robotic system that combines vision and tactile sensing to detect, locate, and grasp litter in outdoor environments, demonstrating high success rates across various terrains and object types.
Contribution
It introduces a novel outdoor litter collection robot integrating color, depth, and tactile sensors for improved detection and grasping capabilities.
Findings
94% collection success rate overall
80% first-attempt collection success
Effective in diverse outdoor terrains
Abstract
The accumulation of litter is increasing in many places and is consequently becoming a problem that must be dealt with. In this paper, we present a manipulator robotic system to collect litter in outdoor environments. This system has three functionalities. Firstly, it uses colour images to detect and recognise litter comprising different materials. Secondly, depth data are combined with pixels of waste objects to compute a 3D location and segment three-dimensional point clouds of the litter items in the scene. The grasp in 3 Degrees of Freedom (DoFs) is then estimated for a robot arm with a gripper for the segmented cloud of each instance of waste. Finally, two tactile-based algorithms are implemented and then employed in order to provide the gripper with a sense of touch. This work uses two low-cost visual-based tactile sensors at the fingertips. One of them addresses the detection of…
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