no code implementations • 15 Dec 2023 • Thomas Bi, Raffaello D'Andrea
Motivated by the challenge of achieving rapid learning in physical environments, this paper presents the development and training of a robotic system designed to navigate and solve a labyrinth game using model-based reinforcement learning techniques.
no code implementations • 23 Sep 2021 • Pietro Griffa, Carmelo Sferrazza, Raffaello D'Andrea
Grasping objects whose physical properties are unknown is still a great challenge in robotics.
no code implementations • 12 Mar 2021 • Yaohui Huang, Matthias Hofer, Raffaello D'Andrea
This paper presents an offset-free model predictive controller for fast and accurate control of a spherical soft robotic arm.
Robotics Systems and Control Systems and Control
no code implementations • 7 Jan 2021 • Thomas Bi, Carmelo Sferrazza, Raffaello D'Andrea
This paper aims to show that robots equipped with a vision-based tactile sensor can perform dynamic manipulation tasks without prior knowledge of all the physical attributes of the objects to be manipulated.
no code implementations • 21 Dec 2020 • Carmelo Sferrazza, Raffaello D'Andrea
The images captured by vision-based tactile sensors carry information about high-resolution tactile fields, such as the distribution of the contact forces applied to their soft sensing surface.
no code implementations • 11 Dec 2020 • Matthias Hofer, Carmelo Sferrazza, Raffaello D'Andrea
The reliability of the sensing approach is demonstrated by using the sensory feedback to control the orientation of the robotic arm in closed-loop.
Robotics
no code implementations • 5 Mar 2020 • Carmelo Sferrazza, Thomas Bi, Raffaello D'Andrea
Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials.
no code implementations • 31 Oct 2019 • Camill Trueeb, Carmelo Sferrazza, Raffaello D'Andrea
This paper describes the design of a multi-camera optical tactile sensor that provides information about the contact force distribution applied to its soft surface.
no code implementations • 19 Sep 2019 • Peter Werner, Matthias Hofer, Carmelo Sferrazza, Raffaello D'Andrea
The resulting sensing pipeline runs at 40 Hz in real-time on a standard laptop and is additionally used for closed loop elongation control of the actuator.