Zobrazeno 1 - 10
of 1 184
pro vyhledávání: '"E, Amir"'
This paper introduces a novel Soft Acoustic Curvature (SAC) sensor. SAC incorporates integrated audio components and features an acoustic channel within a flexible structure. A reference acoustic wave, generated by a speaker at one end of the channel
Externí odkaz:
http://arxiv.org/abs/2409.06395
This paper aims to present an innovative and cost-effective design for Acoustic Soft Tactile (AST) Skin, with the primary goal of significantly enhancing the accuracy of 2-D tactile feature estimation. The existing challenge lies in achieving precise
Externí odkaz:
http://arxiv.org/abs/2401.14292
Autor:
Mandil, Willow, Ghalamzan-E, Amir
In this paper, we explore the impact of adding tactile sensation to video prediction models for physical robot interactions. Predicting the impact of robotic actions on the environment is a fundamental challenge in robotics. Current methods leverage
Externí odkaz:
http://arxiv.org/abs/2304.11193
Autor:
S, Vishnu Rajendran, Debnath, Bappaditya, Mghames, Sariah, Mandil, Willow, Parsa, Soran, Parsons, Simon, Ghalamzan-E, Amir
This paper provides an overview of the current state-of-the-art in selective harvesting robots (SHRs) and their potential for addressing the challenges of global food production. SHRs have the potential to increase productivity, reduce labour costs,
Externí odkaz:
http://arxiv.org/abs/2304.09617
Autor:
Khan, Muhammad Arshad, Kenney, Max, Painter, Jack, Kamale, Disha, Batista-Navarro, Riza, Ghalamzan-E, Amir
In this paper, we present a grammar-based natural language framework for robot programming, specifically for pick-and-place tasks. Our approach uses a custom dictionary of action words, designed to store together words that share meaning, allowing fo
Externí odkaz:
http://arxiv.org/abs/2304.02993
This paper presents a novel soft tactile skin (STS) technology operating with sound waves. In this innovative approach, the sound waves generated by a speaker travel in channels embedded in a soft membrane and get modulated due to a deformation of th
Externí odkaz:
http://arxiv.org/abs/2303.17355
Autor:
Nazari, Kiyanoush, Gandolfi, Gabriele, Talebpour, Zeynab, Rajendran, Vishnu, Rocco, Paolo, E., Amir Ghalamzan
This paper introduces a novel approach to address the problem of Physical Robot Interaction (PRI) during robot pushing tasks. The approach uses a data-driven forward model based on tactile predictions to inform the controller about potential future m
Externí odkaz:
http://arxiv.org/abs/2303.05393
Challenges in strawberry picking made selective harvesting robotic technology demanding. However, selective harvesting of strawberries is complicated forming a few scientific research questions. Most available solutions only deal with a specific pick
Externí odkaz:
http://arxiv.org/abs/2301.03947
This paper presents a novel control approach to dealing with object slip during robotic manipulative movements. Slip is a major cause of failure in many robotic grasping and manipulation tasks. Existing works increase grip force to avoid/control slip
Externí odkaz:
http://arxiv.org/abs/2209.06019
This paper presents a novel probabilistic approach to deep robot learning from demonstrations (LfD). Deep movement primitives (DMPs) are deterministic LfD model that maps visual information directly into a robot trajectory. This paper extends DMPs an
Externí odkaz:
http://arxiv.org/abs/2208.09074