Gianluca Lentini

ORCID: 0000-0001-9604-9519
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About
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Research Areas
  • Robot Manipulation and Learning
  • Social Robot Interaction and HRI
  • Robotic Locomotion and Control
  • Teleoperation and Haptic Systems
  • Robotics and Automated Systems
  • Prosthetics and Rehabilitation Robotics
  • Telemedicine and Telehealth Implementation
  • Tactile and Sensory Interactions
  • Action Observation and Synchronization
  • Modular Robots and Swarm Intelligence
  • Reinforcement Learning in Robotics
  • COVID-19 diagnosis using AI
  • Robotic Path Planning Algorithms
  • Innovative Approaches in Technology and Social Development
  • Muscle activation and electromyography studies
  • Embodied and Extended Cognition
  • Motor Control and Adaptation
  • Dynamics and Control of Mechanical Systems
  • IoT and Edge/Fog Computing
  • Robotics and Sensor-Based Localization

Italian Institute of Technology
2019-2024

Piaggio (Italy)
2018-2020

University of Pisa
2018-2020

Institute of Electrical and Electronics Engineers
2018-2019

Gorgias Press (United States)
2018-2019

Vrije Universiteit Brussel
2018-2019

Control of two-wheeled humanoid robots poses several challenges due to the unstable dynamics their mobile base and coupling between upper lower body dynamics. The problem is often faced in literature with methods based on linearized or simplified models that fail exploiting whole dynamic capabilities platform use. In this letter, we tackle whole-body control for a wheeled robot. Compared existing approaches online optimization guarantee respect constraints, propose method takes into account...

10.1109/lra.2019.2927961 article EN IEEE Robotics and Automation Letters 2019-07-10

Historically, robots first found application in factories and plants. Until recently, the most noticeable examples of robot systems directly sold to consumer were limited edutainment (e.g., NAO [1]), automated chore [26], social telepresence platforms [27]. Initially, consisted a mobile base with an interactive screen. Today, following trend anthropomorphization technology, human-like upper bodies have begun replace those simple screens Pepper [2] R1 [3]) share same communication modalities...

10.1109/mra.2019.2943846 article EN cc-by IEEE Robotics & Automation Magazine 2019-11-12

Today, human intervention is the only effective course of action after a natural or artificial disaster. This true both for relief operations, where search and rescue survivors priority, subsequent activities, such as those devoted to building assessment. In these contexts, use robotic systems would be beneficial drastically reduce operators? risk exposure. However, readiness level robots still prevents their exploitation in which are highly critical characterized by severe time constraints....

10.1109/mra.2017.2788801 article EN IEEE Robotics & Automation Magazine 2018-05-10

Robotic teleoperation enables humans to safely complete exploratory procedures in remote locations for applications such as deep sea exploration or building assessments following natural disasters. Successful task completion requires meaningful dual arm robotic coordination and proper understanding of the environment. While these capabilities are inherent via impedance regulation haptic interactions, they can be challenging achieve telerobotic systems. Teleimpedance control has allowed...

10.1109/icra.2019.8793652 article EN 2022 International Conference on Robotics and Automation (ICRA) 2019-05-01

The interest in remotely operable robotic platforms (Avatars) for use dangerous, domestic, and service environments is now more than ever growing. widespread adoption of these technologies must inevitably involve a development process that puts users at the center technological advancement, both from perspective those operating system interacting with itself. With this objective mind, we conducted usability study an avatar robot involving various subjects diverse educational backgrounds....

10.1007/s12369-024-01173-7 article EN cc-by-nc-nd International Journal of Social Robotics 2024-11-21

An approach toward intuitive and easy robot programming, consists to transfer skills from humans machines, through demonstration. A vast literature exists on learning multiple demonstrations. This paper, the other hand, tackles problem of providing all needed information execute a certain task by resorting one single demonstration - hence, closer programming than learning. We use wearable consumer devices but no keyboard nor coding as tools, let programmer tele-operate robot, which in turn...

10.1109/icra40945.2020.9196904 article EN 2020-05-01

Robots face the eventuality of falling. Unplanned events, external disturbances and technical failures may lead a robot to condition where even an effective dynamic stabilization is not sufficient maintain equilibrium. Therefore, it essential equip robotic platforms with both active passive fall protection means minimize damages, enable recovery restart without physical human intervention. This work introduces method design integrated safety system for two-wheeled humanoids. As case study,...

10.1109/lra.2020.2970951 article EN IEEE Robotics and Automation Letters 2020-02-04

This contribution describes a case study of “do-it-yourself” (DIY) opensource service and related product to help combating the COVID-19 emergency. It illustrates birth LHF Connect, project designed facilitate communication between patients isolated in hospitals’ ward their relatives. Connect is teleoperated robot that can move autonomy around hospital. A User Centered Design approach, methods specific tools helped managing crucial steps design process such as i) collection needs coming from...

10.4013/sdrj.2020.133.10 article EN cc-by Strategic Design Research Journal 2020-12-23

The objective of this paper is to propose a framework for robot learn multiple Sensory-Motor Contingencies from human demonstrations and reproduce them. are concept that describes intelligent behavior animals humans in relation their environment. They have been used design control planning algorithms robots capable interacting adapting autonomously. However, enabling autonomously develop challenging due the complexity action perception signals. This leverages tools Learning Demonstrations...

10.3390/robotics13040058 article EN cc-by Robotics 2024-04-01
Iori Kumagai Mitsuharu Morisawa Takeshi Sakaguchi Shin Ichiro Nakaoka Kenji Kaneko and 92 more Hiroshi Kaminaga Shuuji Kajita Mehdi Benallegue Rafael Cisneros Fumio Kanehiro Abderrahmane Kheddar Stéphane Caron Pierre Gergondet Andrew I. Comport Arnaud Tanguy Christian Ott Bernd Henze George Mesesan Johannes Englsberger Máximo A. Roa Pierre-Brice Wieber François Chaumette Fabien Spindler Giuseppe Oriolo Leonardo Lanari Adrien Escande Kévin Chappellet Patrice Rabaté Takahide Yoshiike Mitsuhide Kuroda Ryuma Ujino Yoshiki Kanemoto Hiroyuki Kaneko Hirofumi Higuchi Satoshi Komuro Shingo Iwasaki Minami Asatani Takeshi Koshiishi Tobias Klamt Diego Rodríguez Lorenzo Baccelliere Xi Chen Domenico Chiaradia Torben Cichon Massimiliano Gabardi Paolo Guria Karl Holmquist Małgorzata Kameduła Hakan Karaog̃uz Navvab Kashiri Arturo Laurenzi Christian Lenz Daniele Leonardis Enrico Mingo Hoffman Luca Muratore Dmytro Pavlichenko Francesco Porcini Zeyu Ren Fabian Schilling Max Schwarz Massimiliano Solazzi Michael Felsberg Antonio Frisoli Michael Gustmann Patric Jensfelt Klas Nordberg Jürgen Roßmann Uwe Süss Nikos G. Tsagarakis Sven Behnke Luigi Penco Nicola Scianca Valerio Modugno Serena Ivaldi Pouya Mohammadi Niels Dehio Milad Malekzadeh Martin A. Giese Jochen J. Steil Gianluca Lentini Alessandro Settimi Danilo Caporale Manolo Garabini Giorgio Grioli Lucia Pallottino Manuel G. Catalano Antonio Bicchi Tamim Asfour Mirko Wächter Lukas Kaul Samuel Rader Pascal Weiner Simon Ottenhaus Raphael Grimm You Zhou Markus Grotz Fabian Paus

This special issue presents cutting-edge humanoid robot applications in real-world scenarios to solve problems.

10.1109/mra.2019.2941330 article EN IEEE Robotics & Automation Magazine 2019-12-01
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