No Need to Look! Locating and Grasping Objects by a Robot Arm Covered with Sensitive Skin
Karel Bartunek, Lukas Rustler, Matej Hoffmann

TL;DR
This paper presents a novel haptic-based method for robot object localization and grasping that relies solely on contact feedback over the entire robot surface, eliminating the need for visual input.
Contribution
The work introduces a new approach using whole-body sensitive skin for contact-based object search and grasping, outperforming traditional end-effector-only methods.
Findings
85.7% success rate on real robot for single objects
Method is six times faster than end-effector-only haptic feedback
Effective in locating and grasping multiple objects in cluttered environments
Abstract
Locating and grasping of objects by robots is typically performed using visual sensors. Haptic feedback from contacts with the environment is only secondary if present at all. In this work, we explored an extreme case of searching for and grasping objects in complete absence of visual input, relying on haptic feedback only. The main novelty lies in the use of contacts over the complete surface of a robot manipulator covered with sensitive skin. The search is divided into two phases: (1) coarse workspace exploration with the complete robot surface, followed by (2) precise localization using the end-effector equipped with a force/torque sensor. We systematically evaluated this method in simulation and on the real robot, demonstrating that diverse objects can be located, grasped, and put in a basket. The overall success rate on the real robot for one object was 85.7% with failures mainly…
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