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Francesca Negrello

dblp:161/8240 · DBLP profile ↗
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4ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0003-1230-8646ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 2 first-author · 1 since 2021Systems, architecture and hardware · 4 · 2 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Motion planning and robot control · 44% Robot manipulation · 34% Legged, aerial and field robots · 22%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
compliant actuation
0.612022
dSEDA: a Differential Series Elastic Damped Actuator · ICRA 2022
Robotics › Robot manipulation › actuator design › compliant actuator
series elastic actuator
0.612022
dSEDA: a Differential Series Elastic Damped Actuator · ICRA 2022
Robotics › Robot manipulation
robotic hand
0.412019
Benchmarking Resilience of Artificial Hands · ICRA 2019
Robotics › Legged, aerial and field robots
humanoid robot
0.212016
WALK-MAN humanoid lower body design optimization for enhanced physical performance · ICRA 2016
Robotics › Motion planning and robot control › locomotion control
balance control
0.212015
Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid · ICRA 2015
Robotics › Motion planning and robot control › humanoid robot control
humanoid balance control
0.212015
Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid · ICRA 2015
Robotics › Legged, aerial and field robots
legged robots
0.212015
Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid · ICRA 2015
Robotics › Motion planning and robot control
robot control
0.212015
Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.112016
WALK-MAN humanoid lower body design optimization for enhanced physical performance · ICRA 2016
Robotics › Legged, aerial and field robots
fall prediction
0.112015
Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid · ICRA 2015

Methods — techniques the papers use, named apart from their topics

experimental characterization · 0.6actuator modeling · 0.6izod test · 0.4impact testing · 0.4charpy test · 0.4elastic transmission · 0.2design optimization · 0.2foot rotation indicator · 0.2energy-based fall prediction · 0.2capture point · 0.2
YearPublicationVenuePosition
2022 dSEDA: a Differential Series Elastic Damped Actuator
abstract
Compliant actuation bestows robots with the ability to cope with unstructured environments, move with agility, and interact safely with humans at the expense of reduced tracking accuracy. The inclusion of dampening components aims to reduce oscillatory dynamics and partially restore precision without sacrificing the previously obtained characteristics. This paper introduces the concept and design of a novel damped compliant actuator suitable for building multi-degree of freedom systems. The proposed unit has a unique actuator topology that has never been seen before in the literature. The gearbox is used as a differential component, allowing the design of compact units without giving up safety and accuracy enhancements. We present and analyze the actuator's model and experimentally characterize the actuator prototype and the elastic and damping component.
Simone Monteleone, Francesca Negrello, Giorgio Grioli, Manuel G. Catalano
ICRA2
2019 Benchmarking Resilience of Artificial Hands
abstract
The deployment of robotics in real-world scenarios, which may involve harsh and irregular physical interactions with the environment, such as those when robots operating in a disaster scenario, or the interactions that prosthetic devices may experience, demands hardware, which is physically resilient. The end-effectors, as the main media of interaction, are probably the parts at the highest risk. The capability of robotic hands to survive severe impacts is thus a necessity for the effective deployment of reliable robotic solutions in real-world tasks. Although, this robustness capability has been noted and discussed in the robotics community for long time, the literature does not provide a systematic study nor there is any proposal of standardized test or metric to evaluate hand resilience. In this work, inspired by the works of Charpy and Izod for the systematic definition of resilience and toughness of materials through impact tests, we consider extending the standard test to robot hands. We introduce a resilience evaluation framework, including a precisely defined experimental set-up and test procedure. As an example of application of the procedure, we apply it to experimentally characterize two robot hands, with a similar conceptual architecture but different size and material. From these tests we obtain several insights, including the observation that the dominant factor in hand resilience is their compliance and actuation principle, and that the use, under certain design conditions, of lightweight materials, such as plastic instead of aluminum, may not necessarily reduce the mechanical strength of the overall system.
Francesca Negrello, Manolo Garabini, Giorgio Grioli, Nikolaos G. Tsagarakis, Antonio Bicchi, Manuel G. Catalano
ICRA1
2016 WALK-MAN humanoid lower body design optimization for enhanced physical performance
abstract
The deployment of robots to assist in environments hostile for humans during emergency scenarios require robots to demonstrate enhanced physical performance, that includes adequate power, adaptability and robustness to physical interactions and efficient operation. This work presents the design and development of the lower body of the new high performance humanoid WALK-MAN, a robot developed recently to assist in disaster response scenarios. The paper introduces the details of the WALK-MAN lower-body, highlighting the innovative design optimization features considered to maximize the leg performance. Starting from the general lower body specifications the objectives of the design and how they were addressed are introduced, including the selection of the leg kinematics, the arrangement of the actuators and their integration with the leg structure to maximize the range of motion, reduce the leg mass and inertia, and shape the leg mass distribution for better dynamic performance. Physical robustness is ensured with the integration of elastic transmission and impact energy absorbing covers. Experimental walking trials demonstrate the correct operation of the legs while executing a walking gait.
Francesca Negrello, Manolo Garabini, Manuel G. Catalano, Przemyslaw Kryczka, Wooseok Choi, Darwin G. Caldwell, Antonio Bicchi, Nikolaos G. Tsagarakis
ICRA1
2015 Fall Prediction of legged robots based on energy state and its implication of balance augmentation: A study on the humanoid
abstract
In this paper, we propose an Energy based Fall Prediction (EFP) which observes the real-time balance status of a humanoid robot during standing. The EFP provides an analytic and quantitative measure of the level of balance. Both simulation and experimental studies were conducted and compared with the previously proposed indicators, such as Capture Point (CP) and Foot Rotation Indicator (FRI). The EFP also suggests the balance augmentation by active foot tilting to create larger potential barriers. As a proof of concept, a hybrid balance controller was designed to stabilize the robot including under-actuation phases so the robot can also balance with shoes. Our study reveals that both EFP and CP successfully predict falling about 0.2s in advance for the tested robot, while the FRI fails due to the light weight of the foot and limited resolution of the force/torque measurement.
Zhibin Li 0001, Chengxu Zhou, Juan Alejandro Castano, Xin Wang 0041, Francesca Negrello, Nikolaos G. Tsagarakis, Darwin G. Caldwell
ICRA5